Modeling Coupled Processes in Clay Formations for Radioactive Waste Disposal
Liu, Hui-Hai; Rutqvist, Jonny; Zheng, Liange; Sonnenthal, Eric; Houseworth, Jim; Birkholzer, Jens
2010-08-31
As a result of the termination of the Yucca Mountain Project, the United States Department of Energy (DOE) has started to explore various alternative avenues for the disposition of used nuclear fuel and nuclear waste. The overall scope of the investigation includes temporary storage, transportation issues, permanent disposal, various nuclear fuel types, processing alternatives, and resulting waste streams. Although geologic disposal is not the only alternative, it is still the leading candidate for permanent disposal. The realm of geologic disposal also offers a range of geologic environments that may be considered, among those clay shale formations. Figure 1-1 presents the distribution of clay/shale formations within the USA. Clay rock/shale has been considered as potential host rock for geological disposal of high-level nuclear waste throughout the world, because of its low permeability, low diffusion coefficient, high retention capacity for radionuclides, and capability to self-seal fractures induced by tunnel excavation. For example, Callovo-Oxfordian argillites at the Bure site, France (Fouche et al., 2004), Toarcian argillites at the Tournemire site, France (Patriarche et al., 2004), Opalinus clay at the Mont Terri site, Switzerland (Meier et al., 2000), and Boom clay at Mol site, Belgium (Barnichon et al., 2005) have all been under intensive scientific investigations (at both field and laboratory scales) for understanding a variety of rock properties and their relations with flow and transport processes associated with geological disposal of nuclear waste. Clay/shale formations may be generally classified as indurated and plastic clays (Tsang et al., 2005). The latter (including Boom clay) is a softer material without high cohesion; its deformation is dominantly plastic. For both clay rocks, coupled thermal, hydrological, mechanical and chemical (THMC) processes are expected to have a significant impact on the long-term safety of a clay repository. For example, the excavation-damaged zone (EDZ) near repository tunnels can modify local permeability (resulting from induced fractures), potentially leading to less confinement capability (Tsang et al., 2005). Because of clay's swelling and shrinkage behavior (depending on whether the clay is in imbibition or drainage processes), fracture properties in the EDZ are quite dynamic and evolve over time as hydromechanical conditions change. To understand and model the coupled processes and their impact on repository performance is critical for the defensible performance assessment of a clay repository. Within the Natural Barrier System (NBS) group of the Used Fuel Disposition (UFD) Campaign at DOE's Office of Nuclear Energy, LBNL's research activities have focused on understanding and modeling such coupled processes. LBNL provided a report in this April on literature survey of studies on coupled processes in clay repositories and identification of technical issues and knowledge gaps (Tsang et al., 2010). This report will document other LBNL research activities within the natural system work package, including the development of constitutive relationships for elastic deformation of clay rock (Section 2), a THM modeling study (Section 3) and a THC modeling study (Section 4). The purpose of the THM and THC modeling studies is to demonstrate the current modeling capabilities in dealing with coupled processes in a potential clay repository. In Section 5, we discuss potential future R&D work based on the identified knowledge gaps. The linkage between these activities and related FEPs is presented in Section 6.
Modeling Coupled Processes in Clay Formations for Radioactive Waste Disposal
Liu, Hui-Hai
2010-01-01
International Workshop on Geomechanics, hydromechanical andflow, heat transport and geomechanics, by linking the twotransport modeling and geomechanics using the reactive
Modeling Coupled Processes in Clay Formations for Radioactive Waste Disposal
Liu, Hui-Hai
2010-01-01
and the future path of diagenesis have important effects onthe basic basin model for diagenesis. Therefore, some method
Modeling Coupled Processes in Clay Formations for Radioactive Waste Disposal
Liu, Hui-Hai
2010-01-01
Transport Modelling in the Paris Basin over Geologic Time,hydrologic phenomena in the Paris Basin (Jost et al. 2005)
Modeling Coupled THM Processes and Brine Migration in Salt at High Temperatures
Rutqvist, Jonny; Blanco-Martin, Laura; Molins, Sergi; Trebotich, David; Birkholzer, Jens
2015-09-01
In this report, we present FY2015 progress by Lawrence Berkeley National Laboratory (LBNL) related to modeling of coupled thermal-hydrological-mechanical-chemical (THMC) processes in salt and their effect on brine migration at high temperatures. This is a combined milestone report related to milestone Salt R&D Milestone “Modeling Coupled THM Processes and Brine Migration in Salt at High Temperatures” (M3FT-15LB0818012) and the Salt Field Testing Milestone (M3FT-15LB0819022) to support the overall objectives of the salt field test planning.
Tikare, Veena; Hernandez-Rivera, Efrain; Madison, Jonathan D.; Holm, Elizabeth Ann; Patterson, Burton R.; Homer, Eric R.
2013-09-01
Most materials microstructural evolution processes progress with multiple processes occurring simultaneously. In this work, we have concentrated on the processes that are active in nuclear materials, in particular, nuclear fuels. These processes are coarsening, nucleation, differential diffusion, phase transformation, radiation-induced defect formation and swelling, often with temperature gradients present. All these couple and contribute to evolution that is unique to nuclear fuels and materials. Hybrid model that combines elements from the Potts Monte Carlo, phase-field models and others have been developed to address these multiple physical processes. These models are described and applied to several processes in this report. An important feature of the models developed are that they are coded as applications within SPPARKS, a Sandiadeveloped framework for simulation at the mesoscale of microstructural evolution processes by kinetic Monte Carlo methods. This makes these codes readily accessible and adaptable for future applications.
Modeling Coupled THMC Processes and Brine Migration in Salt at High Temperatures
Rutqvist, Jonny; Blanco Martin, Laura; Mukhopadhyay, Sumit; Houseworth, Jim; Birkholzer, Jens
2014-08-14
In this report, we present FY2014 progress by Lawrence Berkeley National Laboratory (LBNL) related to modeling of coupled thermal-hydrological-mechanical-chemical (THMC) processes in salt and their effect on brine migration at high temperatures. LBNL’s work on the modeling of coupled THMC processes in salt was initiated in FY2012, focusing on exploring and demonstrating the capabilities of an existing LBNL modeling tool (TOUGH-FLAC) for simulating temperature-driven coupled flow and geomechanical processes in salt. This work includes development related to, and implementation of, essential capabilities, as well as testing the model against relevant information and published experimental data related to the fate and transport of water. we provide more details on the FY2014 work, first presenting updated tools and improvements made to the TOUGH-FLAC simulator, and the use of this updated tool in a new model simulation of long-term THM behavior within a generic repository in a salt formation. This is followed by the description of current benchmarking and validations efforts, including the TSDE experiment. We then present the current status in the development of constitutive relationships and the dual-continuum model for brine migration. We conclude with an outlook for FY2015, which will be much focused on model validation against field experiments and on the use of the model for the design studies related to a proposed heater experiment.
Broader source: Energy.gov [DOE]
Presentation given by [company name] at 2014 DOE Hydrogen and Fuel Cells Program and Vehicle Technologies Office Annual Merit Review and Peer Evaluation Meeting about coupled hierarchical models...
Castellani, Angela Marie
2006-08-16
This study attempts to better understand relationship processes that promote or enhance a coupleÂ?s experience of emotional intimacy in their relationship. An overarching goal of the research is to test Reis and ShaverÂ?s ...
3D Modeling of Coupled Rock Deformation and Thermo-Poro-Mechanical Processes in Fractures
Rawal, Chakra
2012-07-16
Problems involving coupled thermo-poro-chemo-mechanical processes are of great importance in geothermal and petroleum reservoir systems. In particular, economic power production from enhanced geothermal systems, effective water-flooding of petroleum...
Ocean mixed layer processes in the Pacific Decadal Oscillation in coupled general circulation models
Qiu, Bo
Ocean mixed layer processes in the Pacific Decadal Oscillation in coupled general circulation to be larger for CGCMs with a larger ocean heat transport in the region. Keywords Pacific Decadal Oscillation Á. 1994a, b; Zhanget al. 1996), ocean-atmosphere interactions over the North Pacific (e.g., Latif
Larson, J. W.; Jacob, R. L.; Foster, I.; Guo, J.
2001-04-13
The advent of coupled earth system models has raised an important question in parallel computing: What is the most effective method for coupling many parallel models to form a high-performance coupled modeling system? We present our solution to this problem--The Model Coupling Toolkit (MCT). We explain how our effort to construct the Next-Generation Coupler for NCAR Community Climate System Model motivated us to create this toolkit. We describe in detail the conceptual design of the MCT and explain its usage in constructing parallel coupled models. We present preliminary performance results for the toolkit's parallel data transfer facilities. Finally, we outline an agenda for future development of the MCT.
An experimental study and modeling of Transformer-Coupled Toroidal Plasma processing of materials
Bai, Bo, Ph. D. Massachusetts Institute of Technology
2006-01-01
The Transformer Coupled Toroidal Plasma (TCTP) source uses a high power density plasma formed in a toroidal-shaped chamber by transformer coupling using a magnetic core. The objectives of the thesis are (1) to characterize ...
Coupled symplectic maps as models for subdiffusive processes in disordered Hamiltonian lattices
Chris G. Antonopoulos; Tassos Bountis; Lambros Drossos
2015-08-01
We investigate dynamically and statistically diffusive motion in a chain of linearly coupled 2-dimensional symplectic McMillan maps and find evidence of subdiffusion in weakly and strongly chaotic regimes when all maps of the chain possess a saddle point at the origin and the central map is initially excited. In the case of weak coupling, there is either absence of diffusion or subdiffusion with $q>1$-Gaussian probability distributions, characterizing weak chaos. However, for large enough coupling and already moderate number of maps, the system exhibits strongly chaotic ($q\\approx 1$) subdiffusive behavior, reminiscent of the subdiffusive energy spreading observed in a disordered Klein-Gordon Hamiltonian. Our results provide evidence that coupled symplectic maps can exhibit physical properties similar to those of disordered Hamiltonian systems, even though the local dynamics in the two cases is significantly different.
Prasad, Manish; Conforti, Patrick F.; Garrison, Barbara J.
2007-08-28
The coarse grained chemical reaction model is enhanced to build a molecular dynamics (MD) simulation framework with an embedded Monte Carlo (MC) based reaction scheme. The MC scheme utilizes predetermined reaction chemistry, energetics, and rate kinetics of materials to incorporate chemical reactions occurring in a substrate into the MD simulation. The kinetics information is utilized to set the probabilities for the types of reactions to perform based on radical survival times and reaction rates. Implementing a reaction involves changing the reactants species types which alters their interaction potentials and thus produces the required energy change. We discuss the application of this method to study the initiation of ultraviolet laser ablation in poly(methyl methacrylate). The use of this scheme enables the modeling of all possible photoexcitation pathways in the polymer. It also permits a direct study of the role of thermal, mechanical, and chemical processes that can set off ablation. We demonstrate that the role of laser induced heating, thermomechanical stresses, pressure wave formation and relaxation, and thermochemical decomposition of the polymer substrate can be investigated directly by suitably choosing the potential energy and chemical reaction energy landscape. The results highlight the usefulness of such a modeling approach by showing that various processes in polymer ablation are intricately linked leading to the transformation of the substrate and its ejection. The method, in principle, can be utilized to study systems where chemical reactions are expected to play a dominant role or interact strongly with other physical processes.
Modeling shear failure and permeability enhancement due to coupled...
Office of Scientific and Technical Information (OSTI)
enhancement due to coupled Thermal-Hydrological-Mechanical processes in Enhanced Geothermal Reservoirs Citation Details In-Document Search Title: Modeling shear failure and...
Small, Eric
WRF/Noah model Seungbum Hong,1 Venkat Lakshmi,1 Eric E. Small,2 Fei Chen,3 Mukul Tewari,3 and Kevin W. Lakshmi, E. E. Small, F. Chen, M. Tewari, and K. W. Manning (2009), Effects of vegetation and soil
IDENTIFICATIONS AND APPLICATIONS OF COUPLED CLIMATE MODELS
Yu, Jin-Yi
IDENTIFICATIONS AND APPLICATIONS OF COUPLED CLIMATE MODELS Jin-Yi Yu Department of Earth System of environmental system models. 1. Introduction The Earth climate system consists of several major components of global warming, all four components of the Earth climate system are involved. Coupled climate models
Mountain-Scale Coupled Processes (TH/THC/THM)
P. Dixon
2004-02-09
The purpose of this Model Report is to document the development of the Mountain-Scale Thermal-Hydrological (TH), Thermal-Hydrological-Chemical (THC), and Thermal-Hydrological-Mechanical (THM) Models and evaluate the effects of coupled TH/THC/THM processes on mountain-scale UZ flow at Yucca Mountain, Nevada. This Model Report was planned in ''Technical Work Plan (TWP) for: Performance Assessment Unsaturated Zone'' (BSC 2002 [160819], Section 1.12.7), and was developed in accordance with AP-SIII.10Q, Models. In this Model Report, any reference to ''repository'' means the nuclear waste repository at Yucca Mountain, and any reference to ''drifts'' means the emplacement drifts at the repository horizon. This Model Report provides the necessary framework to test conceptual hypotheses for analyzing mountain-scale hydrological/chemical/mechanical changes and predict flow behavior in response to heat release by radioactive decay from the nuclear waste repository at the Yucca Mountain site. The mountain-scale coupled TH/THC/THM processes models numerically simulate the impact of nuclear waste heat release on the natural hydrogeological system, including a representation of heat-driven processes occurring in the far field. The TH simulations provide predictions for thermally affected liquid saturation, gas- and liquid-phase fluxes, and water and rock temperature (together called the flow fields). The main focus of the TH Model is to predict the changes in water flux driven by evaporation/condensation processes, and drainage between drifts. The TH Model captures mountain-scale three dimensional (3-D) flow effects, including lateral diversion at the PTn/TSw interface and mountain-scale flow patterns. The Mountain-Scale THC Model evaluates TH effects on water and gas chemistry, mineral dissolution/precipitation, and the resulting impact to UZ hydrological properties, flow and transport. The THM Model addresses changes in permeability due to mechanical and thermal disturbances in stratigraphic units above and below the repository host rock. The Mountain-Scale THM Model focuses on evaluating the changes in 3-D UZ flow fields arising out of thermal stress and rock deformation during and after the thermal periods.
Evaluation of Generic EBS Design Concepts and Process Models...
Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site
and 6) coupled thermal-mechanical (TM) and thermo-hydrological (TH) modeling in salt. Evaluation of Generic EBS Design Concepts and Process Models Implications to EBS...
Piezoelectric and Semiconducting Coupled Power Generating Process of a
Wang, Zhong L.
observation of piezoelectric generation from a single ZnO wire/belt for illustrating a fundamental process of the electric generator relies on the unique coupling of piezoelectric and semiconducting dual properties of ZnPiezoelectric and Semiconducting Coupled Power Generating Process of a Single ZnO Belt
STOCHASTIC DYNAMICS OF A COUPLED ATMOSPHEREOCEAN MODEL
's longwave radiation coefficient and the shortwave solar radiation profile. Third, we have demon- strated this coupled atmosphere-ocean model consists of stochastic Date: February 5, 2002. 1991 Mathematics Subject
Hybrid coupled modeling of the tropical Pacific using neural networks
Hsieh, William
Hybrid coupled modeling of the tropical Pacific using neural networks Shuyong Li, William W. Hsieh To investigate the potential for improving hybrid coupled models (HCM) of the tropical Pacific by the use: dynamical coupled models, statistical models and hybrid coupled models [Barnston et al., 1994]. A hybrid
Modeling Quality Information within Business Process Models
Paech, Barbara
Modeling Quality Information within Business Process Models Robert Heinrich, Alexander Kappe. Business process models are a useful means to document information about structure and behavior literature and tool survey on modeling quality information within business process models. Keywords: Business
Process for fabricating a charge coupled device
Conder, Alan D. (Tracy, CA); Young, Bruce K. F. (Livermore, CA)
2002-01-01
A monolithic three dimensional charged coupled device (3D-CCD) which utilizes the entire bulk of the semiconductor for charge generation, storage, and transfer. The 3D-CCD provides a vast improvement of current CCD architectures that use only the surface of the semiconductor substrate. The 3D-CCD is capable of developing a strong E-field throughout the depth of the semiconductor by using deep (buried) parallel (bulk) electrodes in the substrate material. Using backside illumination, the 3D-CCD architecture enables a single device to image photon energies from the visible, to the ultra-violet and soft x-ray, and out to higher energy x-rays of 30 keV and beyond. The buried or bulk electrodes are electrically connected to the surface electrodes, and an E-field parallel to the surface is established with the pixel in which the bulk electrodes are located. This E-field attracts charge to the bulk electrodes independent of depth and confines it within the pixel in which it is generated. Charge diffusion is greatly reduced because the E-field is strong due to the proximity of the bulk electrodes.
Evolutionary games of condensates in coupled birth-death processes
Knebel, Johannes; Krueger, Torben; Frey, Erwin
2015-01-01
Condensation phenomena arise through a collective behaviour of particles. They are observed in both classical and quantum systems, ranging from the formation of traffic jams in mass transport models to the macroscopic occupation of the energetic ground state in ultra-cold bosonic gases (Bose-Einstein condensation). Recently, it has been shown that a driven and dissipative system of bosons may form multiple condensates. Which states become the condensates has, however, remained elusive thus far. The dynamics of this condensation are described by coupled birth-death processes, which also occur in evolutionary game theory. Here, we apply concepts from evolutionary game theory to explain the formation of multiple condensates in such driven-dissipative bosonic systems. We show that vanishing of relative entropy production determines their selection. The condensation proceeds exponentially fast, but the system never comes to rest. Instead, the occupation numbers of condensates may oscillate, as we demonstrate for a...
Tsang, Chin-Fu; Blumling, Peter; Bernier, Frederic
2008-01-01
at Grimsel. In Coupled Thermo-Hydro- Mechanical-ChemicalCOUPLED HYDRO-MECHANICAL PROCESSES IN CRYTALLINE ROCK AND IN
2, 333397, 2005 A coupled model of
Boyer, Edmond
. The sensitivity of calculated canopy energy and CO2 fluxes to the uncertainty of individual parameter values is assessed. In the companion paper, the predicted seasonal exchange of energy, CO2, ozone and isopreneBGD 2, 333397, 2005 A coupled model of carbon-water exchange of the Amazon rain forest E. Simon et
Biosphere Process Model Report
J. Schmitt
2000-05-25
To evaluate the postclosure performance of a potential monitored geologic repository at Yucca Mountain, a Total System Performance Assessment (TSPA) will be conducted. Nine Process Model Reports (PMRs), including this document, are being developed to summarize the technical basis for each of the process models supporting the TSPA model. These reports cover the following areas: (1) Integrated Site Model; (2) Unsaturated Zone Flow and Transport; (3) Near Field Environment; (4) Engineered Barrier System Degradation, Flow, and Transport; (5) Waste Package Degradation; (6) Waste Form Degradation; (7) Saturated Zone Flow and Transport; (8) Biosphere; and (9) Disruptive Events. Analysis/Model Reports (AMRs) contain the more detailed technical information used to support TSPA and the PMRs. The AMRs consists of data, analyses, models, software, and supporting documentation that will be used to defend the applicability of each process model for evaluating the postclosure performance of the potential Yucca Mountain repository system. This documentation will ensure the traceability of information from its source through its ultimate use in the TSPA-Site Recommendation (SR) and in the National Environmental Policy Act (NEPA) analysis processes. The objective of the Biosphere PMR is to summarize (1) the development of the biosphere model, and (2) the Biosphere Dose Conversion Factors (BDCFs) developed for use in TSPA. The Biosphere PMR does not present or summarize estimates of potential radiation doses to human receptors. Dose calculations are performed as part of TSPA and will be presented in the TSPA documentation. The biosphere model is a component of the process to evaluate postclosure repository performance and regulatory compliance for a potential monitored geologic repository at Yucca Mountain, Nevada. The biosphere model describes those exposure pathways in the biosphere by which radionuclides released from a potential repository could reach a human receptor. Collectively, the potential human receptor and exposure pathways form the biosphere model. More detailed technical information and data about potential human receptor groups and the characteristics of exposure pathways have been developed in a series of AMRs and Calculation Reports.
Maryland at College Park, University of
Coupling Population Models with Earth System ModelsEarth System Models Eugenia Kalnay, Safa Motesharrei, Jorge Rivas Change: Fully Coupling Population and Earth System Models" My research at the U. of Maryland #12
Fang, Yilin; Nguyen, Ba Nghiep; Carroll, Kenneth C.; Xu, Zhijie; Yabusaki, Steven B.; Scheibe, Timothy D.; Bonneville, Alain
2013-09-12
Geomechanical alteration of porous media is generally ignored for most shallow subsurface applications, whereas CO2 injection, migration, and trapping in deep saline aquifers will be controlled by coupled multifluid flow, energy transfer, and geomechanical processes. The accurate assessment of the risks associated with potential leakage of injected CO2 and the design of effective injection systems requires that we represent these coupled processes within numerical simulators. The objectives of this study were to develop a coupled thermal-hydro-mechanical model into a single software, and to examine the coupling of thermal, hydrological, and geomechanical processes for simulation of CO2 injection into the subsurface for carbon sequestration. A numerical model is developed to couple nonisothermal multiphase hydrological and geomechanical processes for prediction of multiple interconnected processes for carbon sequestration in deep saline aquifers. The geomechanics model was based on Rigid Body-Spring Model (RBSM), one of the discrete methods to model discontinuous rock system. Poisson’s effect that was often ignored by RBSM was considered in the model. The simulation of large-scale and long-term coupled processes in carbon capture and storage projects requires large memory and computational performance. Global Array Toolkit was used to build the model to permit the high performance simulations of the coupled processes. The model was used to simulate a case study with several scenarios to demonstrate the impacts of considering coupled processes and Poisson’s effect for the prediction of CO2 sequestration.
Starr, Robert C; Orr, Brennon R; Lee, M Hope; Delwiche, Mark
2010-02-26
Trichloroethene (TCE) (also known as trichloroethylene) is a common contaminant in groundwater. TCE is regulated in drinking water at a concentration of 5 µg/L, and a small mass of TCE has the potential to contaminant large volumes of water. The physical and chemical characteristics of TCE allow it to migrate quickly in most subsurface environments, and thus large plumes of contaminated groundwater can form from a single release. The migration and persistence of TCE in groundwater can be limited by biodegradation. TCE can be biodegraded via different processes under either anaerobic or aerobic conditions. Anaerobic biodegradation is widely recognized, but aerobic degradation is less well recognized. Under aerobic conditions, TCE can be oxidized to non hazardous conditions via cometabolic pathways. This study applied enzyme activity probes to demonstrate that cometabolic degradation of TCE occurs in aerobic groundwater at several locations, used laboratory microcosm studies to determine aerobic degradation rates, and extrapolated lab-measured rates to in situ rates based on concentrations of microorganisms with active enzymes involved in cometabolic TCE degradation. Microcosms were constructed using basalt chips that were inoculated with microorganisms to groundwater at the Idaho National Laboratory Test Area North TCE plume by filling a set of Flow-Through In Situ Reactors (FTISRs) with chips and placing the FTISRs into the open interval of a well for several months. A parametric study was performed to evaluate predicted degradation rates and concentration trends using a competitive inhibition kinetic model, which accounts for competition for enzyme active sites by both a growth substrate and a cometabolic substrate. The competitive inhibition kinetic expression was programmed for use in the RT3D reactive transport package. Simulations of TCE plume evolution using both competitive inhibition kinetics and first order decay were performed.
Hybrid coupled models of the tropical Pacific: I interannual variability
Tang, Youmin
Y. Tang Hybrid coupled models of the tropical Pacific: I interannual variability Received: 20 Two hybrid coupled models (HCMs), an intermediate complexity dynamical ocean model cou- pled to either), hybrid models (e.g., Barnett et al. 1993; Balmaseda et al. 1994,1995), and fully coupled general
Mukhopadhyay, S.; Sonnenthal, E.L.; Spycher, N.
2008-01-01
Fractured Rock of Yucca Mountain, Nevada: Heterogeneity andfractured rocks of Yucca Mountain have been extensivelyHydrothermal Flow at Yucca Mountain, Part I: Modeling and
Mukhopadhyay, Sumit; Sonnenthal, Eric L.; Spycher, Nicolas
2008-01-01
Fractured Rock of Yucca Mountain, Nevada: Heterogeneity andFractured Rocks at Yucca Mountain: Model Validation UsingFractured Rocks at Yucca Mountain, In: Faybishenko B,
optimal initial conditions for coupling ice sheet models to earth...
Office of Scientific and Technical Information (OSTI)
optimal initial conditions for coupling ice sheet models to earth system models Perego, Mauro Sandia National Laboratories Sandia National Laboratories; Price, Stephen F. Dr...
optimal initial conditions for coupling ice sheet models to earth...
Office of Scientific and Technical Information (OSTI)
for coupling ice sheet models to earth system models Authors: Perego, Mauro 1 ; Price, Stephen F. Dr 2 ; Stadler, Georg 3 + Show Author Affiliations Sandia National...
Method of processing materials using an inductively coupled plasma
Hull, D.E.; Bieniewski, T.M.
1987-04-13
A method of processing materials. The invention enables ultrafine, ultrapure powders to be formed from solid ingots in a gas free environment. A plasma is formed directly from an ingot which insures purity. The vaporized material is expanded through a nozzle and the resultant powder settles on a cold surface. An inductively coupled plasma may also be used to process waste chemicals. Noxious chemicals are directed through a series of plasma tubes, breaking molecular bonds and resulting in relatively harmless atomic constituents. 3 figs.
Studies of climate variability in a simple coupled model
Abiven, Claude
2007-01-01
The mechanisms of variability of a coupled atmosphere-ocean model are investigated through the study of two coupled configurations: an aquaplanet in which gyres are absent, and an aquaplanet in which a ridge extending from ...
Mesoscale Modeling of Fuel Swelling and Restructuring: Coupling...
Office of Scientific and Technical Information (OSTI)
Conference: Mesoscale Modeling of Fuel Swelling and Restructuring: Coupling Microstructure evolution and Mechanical Localization. Citation Details In-Document Search Title:...
Effects of technicolor on standard model running couplings
B. Holdom; Randy Lewis
1994-02-18
We discuss the running couplings in the standard model, SU(3$)_C \\times $SU(2$)_L \\times $U(1$)_Y$, when the Higgs sector is replaced by SU($N_{TC})$ technicolor. Particular attention is given to the running of the couplings at momentum scales where technicolor is nonperturbative, and in this region we apply a relativistic constituent technifermion model. This model has been tested against the known running of the QED coupling due to nonperturbative QCD. An understanding of this low momentum running allows the calculation of the couplings at a higher scale, $\\Lambda_{pert}$, where technicolor becomes perturbative. We provide numerical values for the changes in the three standard model couplings between $m_Z$ and $\\Lambda_{pert}$ due to technicolor, assuming separately ``one doublet'' and ``one family'' technicolor models. The distinction between a running and walking technicolor coupling is also considered.
A Dynamic Model coupling Photoacclimation and Photoinhibition in Microalgae
Boyer, Edmond
in microalgae, thereby spanning multiple time scales. The properties of the model are investigated under quasi2 mitigation due to their inherent consumption of CO2 during photosynthesis, they can be coupledA Dynamic Model coupling Photoacclimation and Photoinhibition in Microalgae Philipp Hartmann1
MODELING COUPLED FLUID FLOW AND GEOMECHANICAL AND GEOPHYSICAL PHENOMENA WITHIN
MODELING COUPLED FLUID FLOW AND GEOMECHANICAL AND GEOPHYSICAL PHENOMENA WITHIN A FINITE ELEMENT for the modeling of geomechanical effects induced by reservoir production/injection and the cyclic dependence
Coupling Groundwater Modeling with Biology to Identify Strategic Water Resources
Paris-Sud XI, Université de
Coupling Groundwater Modeling with Biology to Identify Strategic Water Resources Didier Graillot 1 ABSTRACT The identification of hydraulic interactions between rivers and groundwater is part and parcel hinders groundwater modeling everywhere and simulating water management scenarios in every place
Kornhuber, Ralf
Coupled fluid transport processes and numerical examples The expression "coupled fluid processes" refers to the central role of groundwater in transferring energy (i.e. heat) mass (i.e. solutes) over #12;Stability criteria TdK RaT Solutal Rayleigh number Thermal Rayleigh number d sat s D CdK CC Ra
Walker, D. Greg
Coupled QuantumCoupled Quantum--ScatteringScattering Modeling of the ThermoelectricModeling of the Thermoelectric Properties of Si/Ge/SiProperties of Si/Ge/Si Quantum Well SuperlatticesQuantum Well Superlattices Phonons Si SiGe 2 S T ZT = · Quantum well superlattices proposed to improve thermoelectric figure
A Renormalization Group Study of Asymetrically Coupled Minimal Models
M. -A. Lewis; P. Simon
1998-05-04
We investigate the renormalization group flows and fixed point structure of many coupled minimal models. The models are coupled two by two by energy-energy couplings. We take the general approach where the bare couplings are all taken to be independent. New fixed points are found for N models (N>3). At these fixed points, the coupling constants all have the same magnitude, but some are positive while others are negative. By analogy with spin lattices, these can be interpreted as non-frustrated configurations with a maximal number of antiferromagnetic links. The stability of the different fixed points is studied. We compute the critical exponents and spin-spin correlation functions between different models. Our classification is shown to be complete.
Cooperative Behavior in Coupled Simulated Annealing Processes with Variance Control
due to the introduction of coupling in the acceptance prob- ability functions. Moreover, the coupling also allows con- troling the variance of the acceptance probabilities. This is especially important to aid gradient based methods to escape from local minima [8]. In that ap- proach, coupling of local
Exact solutions for a coupled nonlocal model of nanobeams
Marotti de Sciarra, Francesco E-mail: raffaele.barretta@unina.it; Barretta, Raffaele E-mail: raffaele.barretta@unina.it
2014-10-06
BERNOULLI-EULER nanobeams under concentrated forces/couples with the nonlocal constitutive behavior proposed by ERINGEN do not exhibit small-scale effects. A new model obtained by coupling the ERINGEN and gradient models is formulated in the present note. A variational treatment is developed by imposing suitable thermodynamic restrictions for nonlocal models and the ensuing differential and boundary conditions of elastic equilibrium are provided. The nonlocal elastostatic problem is solved in a closed-form for nanocantilever and clamped nanobeams.
Buck, Edgar C.; Wittman, Richard S.; Skomurski, Frances N.; Cantrell, Kirk J.; McNamara, Bruce K.; Soderquist, Chuck Z.
2012-07-17
Assessing the performance of spent (used) nuclear fuel in geological repository requires quantification of time-dependent phenomena that may influence its behavior on a time-scale up to millions of years. A high-level waste repository environment will be a dynamic redox system because of the time-dependent generation of radiolytic oxidants and reductants and the corrosion of Fe-bearing canister materials. One major difference between used fuel and natural analogues, including unirradiated UO2, is the intense radiolytic field. The radiation emitted by used fuel can produce radiolysis products in the presence of water vapor or a thin-film of water (including OH• and H• radicals, O2-, eaq, H2O2, H2, and O2) that may increase the waste form degradation rate and change radionuclide behavior. H2O2 is the dominant oxidant for spent nuclear fuel in an O2 depleted water environment, the most sensitive parameters have been identified with respect to predictions of a radiolysis model under typical conditions. As compared with the full model with about 100 reactions it was found that only 30-40 of the reactions are required to determine [H2O2] to one part in 10–5 and to preserve most of the predictions for major species. This allows a systematic approach for model simplification and offers guidance in designing experiments for validation.
Inflationary models with non-minimally derivative coupling
Yang, Nan; Gong, Yungui
2015-01-01
We derive the second order correction to the scalar and tensor spectral tilts for the inflationary models with non-minimally derivative coupling. The non-minimally kinetic coupling to Einstein tensor brings the energy scale in the inflationary models down to be sub-Planckian. In the high friction limit, the Lyth bound is modified with an extra suppression factor, so that the field excursion of the inflaton is sub-Planckian. The inflationary models with non-minimally derivative coupling are more consistent with observations.
Inflationary models with non-minimally derivative coupling
Nan Yang; Qing Gao; Yungui Gong
2015-04-22
We derive the second order correction to the scalar and tensor spectral tilts for the inflationary models with non-minimally derivative coupling. The non-minimally kinetic coupling to Einstein tensor brings the energy scale in the inflationary models down to be sub-Planckian. In the high friction limit, the Lyth bound is modified with an extra suppression factor, so that the field excursion of the inflaton is sub-Planckian. The inflationary models with non-minimally derivative coupling are more consistent with observations.
Transtheoretical Model of Change with couples
Schneider, William Joel
2004-09-30
The Transtheoretical Model of Change is intended to be a general model of change that can be applied to many populations and domains of change. However, most of the studies that have investigated this model have focused ...
Coupled-channel scattering in 1 + 1 dimensional lattice model
Guo, Peng [JLAB
2013-07-01
Based on the Lippmann-Schwinger equation approach, a generalized Lüscher’s formula in 1+1 dimensions for two particles scattering in both the elastic and coupled-channel cases in moving frames is derived. A two-dimensional coupled-channel scattering lattice model is presented, which represents a two-coupled-channel resonant scattering scalars system. The Monte Carlo simulation is performed on finite lattices and in various moving frames. The two-dimensional generalized Lüscher’s formula is used to extract the scattering amplitudes for the coupled-channel system from the discrete finite-volume spectrum.
Fully Coupled Well Models for Fluid Injection and Production
White, Mark D.; Bacon, Diana H.; White, Signe K.; Zhang, Z. F.
2013-08-05
Wells are the primary engineered component of geologic sequestration systems with deep subsurface reservoirs. Wells provide a conduit for injecting greenhouse gases and producing reservoirs fluids, such as brines, natural gas, and crude oil, depending on the target reservoir. Well trajectories, well pressures, and fluid flow rates are parameters over which well engineers and operators have control during the geologic sequestration process. Current drilling practices provided well engineers flexibility in designing well trajectories and controlling screened intervals. Injection pressures and fluids can be used to purposely fracture the reservoir formation or to purposely prevent fracturing. Numerical simulation of geologic sequestration processes involves the solution of multifluid transport equations within heterogeneous geologic media. These equations that mathematically describe the flow of fluid through the reservoir formation are nonlinear in form, requiring linearization techniques to resolve. In actual geologic settings fluid exchange between a well and reservoir is a function of local pressure gradients, fluid saturations, and formation characteristics. In numerical simulators fluid exchange between a well and reservoir can be specified using a spectrum of approaches that vary from totally ignoring the reservoir conditions to fully considering reservoir conditions and well processes. Well models are a numerical simulation approach that account for local conditions and gradients in the exchange of fluids between the well and reservoir. As with the mathematical equations that describe fluid flow in the reservoir, variation in fluid properties with temperature and pressure yield nonlinearities in the mathematical equations that describe fluid flow within the well. To numerically simulate the fluid exchange between a well and reservoir the two systems of nonlinear multifluid flow equations must be resolved. The spectrum of numerical approaches for resolving these equations varies from zero coupling to full coupling. In this paper we describe a fully coupled solution approach for well model that allows for a flexible well trajectory and screened interval within a structured hexahedral computational grid. In this scheme the nonlinear well equations have been fully integrated into the Jacobian matrix for the reservoir conservation equations, minimizing the matrix bandwidth.
Kinetic Modeling of Microbiological Processes
Liu, Chongxuan; Fang, Yilin
2012-09-17
Kinetic description of microbiological processes is vital for the design and control of microbe-based biotechnologies such as waste water treatment, petroleum oil recovery, and contaminant attenuation and remediation. Various models have been proposed to describe microbiological processes. This editorial article discusses the advantages and limiation of these modeling approaches in cluding tranditional, Monod-type models and derivatives, and recently developed constraint-based approaches. The article also offers the future direction of modeling researches that best suit for petroleum and environmental biotechnologies.
ARM PROCESSES AND MODELING METHODOLOGY
ARM PROCESSES AND MODELING METHODOLOGY Benjamin Melamed Rutgers University Faculty of Management Department of MSIS 94 Rockafeller Rd. Piscataway, NJ 08854 melamed@rbs.rutgers.edu ABSTRACT ARM (Auto innovation sequences, ARM processes admit dependent innovation sequences as well, so long
Nuclear Hybrid Energy System Modeling: RELAP5 Dynamic Coupling Capabilities
Piyush Sabharwall; Nolan Anderson; Haihua Zhao; Shannon Bragg-Sitton; George Mesina
2012-09-01
The nuclear hybrid energy systems (NHES) research team is currently developing a dynamic simulation of an integrated hybrid energy system. A detailed simulation of proposed NHES architectures will allow initial computational demonstration of a tightly coupled NHES to identify key reactor subsystem requirements, identify candidate reactor technologies for a hybrid system, and identify key challenges to operation of the coupled system. This work will provide a baseline for later coupling of design-specific reactor models through industry collaboration. The modeling capability addressed in this report focuses on the reactor subsystem simulation.
Borja, R I; White, J A
2010-02-19
We develop conservation laws for coupled hydro-mechanical processes in unsaturated porous media using three-phase continuum mixture theory. From the first law of thermodynamics, we identify energy-conjugate variables for constitutive modeling at macroscopic scale. Energy conjugate expressions identified relate a certain measure of effective stress to the deformation of the solid matrix, the degree of saturation to the matrix suction, the pressure in each constituent phase to the corresponding intrinsic volume change of this phase, and the seepage forces to the corresponding pressure gradients. We then develop strong and weak forms of boundary-value problems relevant for 3D finite element modeling of coupled hydro-mechanical processes in unsaturated porous media. The paper highlights a 3D numerical example illustrating the advances in the solution of large-scale coupled finite element systems, as well as the challenges in developing more predictive tools satisfying the basic conservation laws and the observed constitutive responses for unsaturated porous materials.
A Model for Interlevel Coupling Noise in Multilevel Interconnect ' Structures
Swaminathan, Madhavan
A Model for Interlevel Coupling Noise in Multilevel Interconnect ' Structures Martin Saint- case noise is simulated using an RC transmission line model that includes the timing of the attackers noise model is sometimes very desirable, in particular for the design of clock distribution networks
The Critical Curve of the Random Pinning and Copolymer Models at Weak Coupling
Quentin Berger; Francesco Caravenna; Julien Poisat; Rongfeng Sun; Nikos Zygouras
2013-06-19
We study random pinning and copolymer models, when the return distribution of the underlying renewal process has a polynomial tail with finite mean. We compute the asymptotic behavior of the critical curves of the models in the weak coupling regime, showing that it is universal. This proves a conjecture of Bolthausen, den Hollander and Opoku for copolymer models (ref. [8]), which we also extend to pinning models.
Relativistic nuclear matter with alternative derivative coupling models
Delfino, A.; Coelho, C.T.; Malheiro, M. (Instituto de Fisica-Universidade Federal Fluminense, Outeiro de Sao Joao Batista s/n, 24020-004 Centro, Niteroi, Rio de Janeiro (Brazil))
1995-04-01
Effective Lagrangians involving nucleons coupled to scalar and vector fields are investigated within the framework of relativistic mean-field theory. The study presents the traditional Walecka model and different kinds of scalar derivative couplings suggested by Zimanyi and Moszkowski. The incompressibility (presented in an analytical form), scalar potential, and vector potential at the saturation point of nuclear matter are compared for these models. The real optical potential for the models are calculated and one of the models fits well the experimental curve from [minus]50 to 400 MeV while also giving a soft equation of state. By varying the coupling constants and keeping the saturation point of nuclear matter approximately fixed, only the Walecka model presents a first order phase transition for finite temperature at zero density.
Design of Nanostructured Solar Cells Using Coupled Optical and Electrical Modeling
Deceglie, Michael G
2014-01-01
Using Coupled Optical and Electrical Modeling Michael G.We use coupled optical and electrical modeling to guideto optimize both the electrical device physics and the
Coupled Oscillator Model for Nonlinear Gravitational Perturbations
Huan Yang; Fan Zhang; Stephen R. Green; Luis Lehner
2015-04-07
Motivated by the gravity/fluid correspondence, we introduce a new method for characterizing nonlinear gravitational interactions. Namely we map the nonlinear perturbative form of the Einstein equation to the equations of motion of a collection of nonlinearly-coupled harmonic oscillators. These oscillators correspond to the quasinormal or normal modes of the background spacetime. We demonstrate the mechanics and the utility of this formalism within the context of perturbed asymptotically anti-de Sitter black brane spacetimes. We confirm in this case that the boundary fluid dynamics are equivalent to those of the hydrodynamic quasinormal modes of the bulk spacetime. We expect this formalism to remain valid in more general spacetimes, including those without a fluid dual. In other words, although borne out of the gravity/fluid correspondence, the formalism is fully independent and it has a much wider range of applicability. In particular, as this formalism inspires an especially transparent physical intuition, we expect its introduction to simplify the often highly technical analytical exploration of nonlinear gravitational dynamics.
Pizer, Jennifer; Kuehl, Sheila James
2012-01-01
as of this writing). Same-Sex Couples and Marriage ModelPolicy Context different-sex married couples to file jointwith state law against sex discrimination in employment).
A Coupled Oscillator Model for Grover's Quantum Database Search Algorithm
Aavishkar A. Patel
2007-11-29
Grover's database search algorithm is the optimal algorithm for finding a desired object from an unsorted collection of items. Although it was discovered in the context of quantum computation, it is simple and versatile enough to be implemented using any physical system that allows superposition of states, and several proposals have been made in the literature. I study a mechanical realisation of the algorithm using coupled simple harmonic oscillators, and construct its physical model for the simplest case of four identical oscillators. The identification oracle is implemented as an elastic reflection of the desired oscillator, and the overrelaxation operation is realised as evolution of the system by half an oscillation period. I derive the equations of motion, and solve them both analytically and by computer simulation. I extend the ideal case analysis and explore the sensitivity of the algorithm to changes in the initial conditions, masses of springs and damping. The amplitude amplification provided by the algorithm enhances the energy of the desired oscillator, while running the algorithm backwards spreads out the energy of the perturbed oscillator among its partners. The former (efficient focusing of energy into a specific oscillator) can have interesting applications in processes that need crossing of an energy threshold for completion, and can be useful in nanotechnological devices and catalysis. The latter (efficient redistribution of energy) can be useful in processes requiring rapid dissipation of energy, such as shock-absorbers and vibrational shielding. I present some tentative proposals.
ORIGINAL PAPER Coupled fireatmosphere modeling of wildland fire
Xue, Ming
ORIGINAL PAPER Coupled fireatmosphere modeling of wildland fire spread using DEVS-FIRE and ARPS US Government 2015 Abstract This article introduces a new wildland fire spread prediction system consisting of the raster-based Discrete Event System Specification Fire model (DEVS-FIRE) and the Advanced
Reactive Transport and Coupled THM Processes in Engineering Barrier Systems (EBS)
Steefel, Carl; Rutqvist, Jonny; Tsang, Chin-Fu; Liu, Hui-Hai; Sonnenthal, Eric; Houseworth, Jim; Birkholzer, Jens
2010-08-31
Geological repositories for disposal of high-level nuclear wastes generally rely on a multi-barrier system to isolate radioactive wastes from the biosphere. The multi-barrier system typically consists of a natural barrier system, including repository host rock and its surrounding subsurface environment, and an engineering barrier system (EBS). EBS represents the man-made, engineered materials placed within a repository, including the waste form, waste canisters, buffer materials, backfill and seals (OECD, 2003). EBS plays a significant role in the containment and long-term retardation of radionuclide release. EBS is involved in complex thermal, hydrogeological, mechanical, chemical and biological processes, such as heat release due to radionuclide decay, multiphase flow (including gas release due to canister corrosion), swelling of buffer materials, radionuclide diffusive transport, waste dissolution and chemical reactions. All these processes are related to each other. An in-depth understanding of these coupled processes is critical for the performance assessment (PA) for EBS and the entire repository. Within the EBS group of Used Fuel Disposition (UFD) Campaign, LBNL is currently focused on (1) thermal-hydraulic-mechanical-chemical (THMC) processes in buffer materials (bentonite) and (2) diffusive transport in EBS associated with clay host rock, with a long-term goal to develop a full understanding of (and needed modeling capabilities to simulate) impacts of coupled processes on radionuclide transport in different components of EBS, as well as the interaction between near-field host rock (e.g., clay) and EBS and how they effect radionuclide release. This final report documents the progress that LBNL has made in its focus areas. Specifically, Section 2 summarizes progress on literature review for THMC processes and reactive-diffusive radionuclide transport in bentonite. The literature review provides a picture of the state-of-the-art of the relevant research areas addressed by LBNL. Section 3 documents the current modeling tools, available at LBNL, for the EBS study. This may be important for identifying future modeling activities within the EBS group with these current capabilities and needs for future EBS modeling development. Section 4 presents the results of geomechanical modeling using the Barcelona Basic Model (BBM) constitutive relationship for thermo-elasto-plastic media such as bentonite and an update on reactive-diffusive transport modeling approaches through bentonite in the EBS. Section 5 discusses identified knowledge gaps and technical issues as well as short- and long-term R&D plans.
Hybrid coupled models of the tropical Paci c | II ENSO prediction
Hsieh, William
Hybrid coupled models of the tropical Paci#12;c | II ENSO prediction by Youmin Tang 1 , William W: ytang@cims.nyu.edu #12; Abstract Two hybrid coupled models (HCMs), a dynamical ocean model coupled Introduction Models for ENSO prediction can be categorized into purely statistical models, hybrid coupled
Boson Hubbard model with weakly coupled fermions
Lutchyn, Roman M.; Tewari, Sumanta; Das Sarma, S.
2008-12-01
Using an imaginary-time path integral approach, we develop the perturbation theory suited to the boson Hubbard model and apply it to calculate the effects of a dilute gas of spin-polarized fermions weakly interacting with the bosons. The full theory captures both the static and the dynamic effects of the fermions on the generic superfluid-insulator phase diagram. We find that, in a homogenous system described by a single-band boson Hubbard Hamiltonian, the intrinsic perturbative effect of the fermions is to generically suppress the insulating lobes and to enhance the superfluid phase.
High ethylene to ethane processes for oxidative coupling
Chafin, R.B.; Warren, B.K.
1991-12-17
Oxidative coupling of lower alkane to higher hydrocarbon is conducted using a catalyst comprising barium and/or strontium component and a metal oxide combustion promoter in the presence of vapor phase halogen component. High ethylene to ethane mole ratios in the product can be obtained over extended operating periods.
High ethylene to ethane processes for oxidative coupling
Chafin, Richard B. (Hurricane, WV); Warren, Barbara K. (Charleston, WV)
1991-01-01
Oxidative coupling of lower alkane to higher hydrocarbon is conducted using catalyst comprising barium and/or strontium component and a metal oxide combustion promoter in the presence of vapor phase halogen component. High ethylene to ethane mole ratios in the product can be obtained over extended operating periods.
Correct traction boundary conditions in the indeterminate couple stress model
Patrizio Neff; Ionel-Dumitrel Ghiba; Angela Madeo; Ingo Münch
2015-04-02
In this paper we consider the Grioli-Koiter-Mindlin-Toupin indeterminatecouple stress model. The main aim is to show that the traction boundary conditions were not yet completely deduced. As it turns out, and to our own surprise, restricting the boundary condition framework from the strain gradient models to the couple stress model does not reduce to Mindlin's set of accepted boundary conditions. We present therefore, for the first time the complete, consistent set of traction boundary conditions.
Computational models of early visual processing layers
Shan, Honghao
2010-01-01
prevailing view of retinal processing. However, as discussedsimplified) model of retinal processing. A Retinal Codingretinal coding, the pre-cortical stage of visual processing,
Simulation of Coupled Processes of Flow, Transport, and Storage of CO2 in Saline Aquifers
Wu, Yu-Shu; Chen, Zizhong; Kazemi, Hossein; Yin, Xiaolong; Pruess, Karsten; Oldenburg, Curt; Winterfeld, Philip; Zhang, Ronglei
2014-09-30
This report is the final scientific one for the award DE- FE0000988 entitled “Simulation of Coupled Processes of Flow, Transport, and Storage of CO2 in Saline Aquifers.” The work has been divided into six tasks. In task, “Development of a Three-Phase Non-Isothermal CO2 Flow Module,” we developed a fluid property module for brine-CO2 mixtures designed to handle all possible phase combinations of aqueous phase, sub-critical liquid and gaseous CO2, supercritical CO2, and solid salt. The thermodynamic and thermophysical properties of brine-CO2 mixtures (density, viscosity, and specific enthalpy of fluid phases; partitioning of mass components among the different phases) use the same correlations as an earlier fluid property module that does not distinguish between gaseous and liquid CO2-rich phases. We verified the fluid property module using two leakage scenarios, one that involves CO2 migration up a blind fault and subsequent accumulation in a secondary “parasitic” reservoir at shallower depth, and another investigating leakage of CO2 from a deep storage reservoir along a vertical fault zone. In task, “Development of a Rock Mechanical Module,” we developed a massively parallel reservoir simulator for modeling THM processes in porous media brine aquifers. We derived, from the fundamental equations describing deformation of porous elastic media, a momentum conservation equation relating mean stress, pressure, and temperature, and incorporated it alongside the mass and energy conservation equations from the TOUGH2 formulation, the starting point for the simulator. In addition, rock properties, namely permeability and porosity, are functions of effective stress and other variables that are obtained from the literature. We verified the simulator formulation and numerical implementation using analytical solutions and example problems from the literature. For the former, we matched a one-dimensional consolidation problem and a two-dimensional simulation of the Mandel-Cryer effect. For the latter, we obtained a good match of temperature and gas saturation profiles, and surface uplift, after injection of hot fluid into a model of a caldera structure. In task, “Incorporation of Geochemical Reactions of Selected Important Species,” we developed a novel mathematical model of THMC processes in porous and fractured saline aquifers, simulating geo-chemical reactions associated with CO2 sequestration in saline aquifers. Two computational frameworks, sequentially coupled and fully coupled, were used to simulate the reactions and transport. We verified capabilities of the THMC model to treat complex THMC processes during CO2 sequestration by analytical solutions and we constructed reactive transport models to analyze the THMC process quantitatively. Three of these are 1D reactive transport under chemical equilibrium, a batch reaction model with equilibrium chemical reactions, and a THMC model with CO2 dissolution. In task “Study of Instability in CO2 Dissolution-Diffusion-Convection Processes,” We reviewed literature related to the study of density driven convective flows and on the instability of CO2 dissolution-diffusion-convection processes. We ran simulations that model the density-driven flow instability that would occur during CO2 sequestration. CO2 diffused through the top of the system and dissolved in the aqueous phase there, increasing its density. Density fingers formed along the top boundary, and coalesced into a few prominent ones, causing convective flow that forced the fluid to the system bottom. These simulations were in two and three dimensions. We ran additional simulations of convective mixing with density contrast caused by variable dissolved CO2 concentration in saline water, modeled after laboratory experiments in which supercritical CO2 was circulated in the headspace above a brine saturated packed sand in a pressure vessel. As CO2 dissolved into the upper part of the saturated sand, liquid phase density increases causing instability and setting off convective mixing. We obtained good agreement
A replica-coupling approach to disordered pinning models
Fabio Lucio Toninelli
2007-10-12
We consider a renewal process \\tau={\\tau_0,\\tau_1,...} on the integers, where the law of \\tau_i-\\tau_{i-1} has a power-like tail P(\\tau_i-\\tau_{i-1}=n)=n^{-(\\alpha+1)}L(n) with \\alpha\\ge0 and L(.) slowly varying. We then assign a random, n-dependent reward/penalty to the occurrence of the event that the site n belongs to tau. This class of problems includes, among others, (1+d)-dimensional models of pinning of directed polymers on a one-dimensional random defect, (1+1)-dimensional models of wetting of disordered substrates, and the Poland-Scheraga model of DNA denaturation. By varying the average of the reward, the system undergoes a transition from a localized phase where \\tau occupies a finite fraction of N to a delocalized phase where the density of \\tau vanishes. In absence of disorder the transition is of first order for \\alpha>1 and of higher order for \\alpha1/2. In physical terms, disorder is relevant in this situation, in agreement with the heuristic Harris criterion. On the other hand, for 0<\\alpha<1/2 it has been proven recently by K. Alexander that, if disorder is sufficiently weak, critical exponents are not modified by randomness: disorder is irrelevant. In this work, generalizing techniques which in the framework of spin glasses are known as replica coupling and interpolation, we give a new, simpler proof of the main results of [2]. Moreover, we (partially) justify a small-disorder expansion worked out in [9] for \\alpha<1/2, showing that it provides a free energy upper bound which improves the annealed one.
Coupling Multi-Component Models with MPH on Distributed Memory Computer Architectures
He, Yun; Ding, Chris
2005-01-01
Among these, NASA’s Earth System Models Framework (ESMF) [to facilitate coupling earth system model components and to
Fully Coupled Electromechanical Elastodynamic Model for Guided Wave Propagation Analysis
Borkowski, Luke; Chattopadhyay, Aditi
2013-01-01
Physics-based computational models play a key role in the study of wave propagation for structural health monitoring (SHM) and the development of improved damage detection methodologies. Due to the complex nature of guided waves, accurate and efficient computation tools are necessary to investigate the mechanisms responsible for dispersion, coupling, and interaction with damage. In this paper, a fully coupled electromechanical elastodynamic model for wave propagation in a heterogeneous, anisotropic material system is developed. The final framework provides the full three dimensional displacement and electrical potential fields for arbitrary plate and transducer geometries and excitation waveform and frequency. The model is validated theoretically and proven computationally efficient. Studies are performed with surface bonded piezoelectric sensors to gain insight into the physics of experimental techniques used for SHM. Collocated actuation of the fundamental Lamb wave modes is modeled over a range of frequenc...
Huang, Sumei; Agarwal, G. S. [Department of Physics, Oklahoma State University, Stillwater, Oklahoma 74078 (United States)
2011-02-15
We describe how electromagnetically induced transparency can arise in quadratically coupled optomechanical systems. Due to quadratic coupling, the underlying optical process involves a two-phonon process in an optomechanical system, and this two-phonon process makes the mean displacement, which plays the role of atomic coherence in traditional electromagnetically induced transparency (EIT), zero. We show how the fluctuation in displacement can play a role similar to atomic coherence and can lead to EIT-like effects in quadratically coupled optomechanical systems. We show how such effects can be studied using the existing optomechanical systems.
Modelling and Control of Activated Sludge Processes
Skogestad, Sigurd
Modelling and Control of Activated Sludge Processes Michela Mulas Dottorato di Ricerca of Activated Sludge Processes Michela Mulas Supervisors: Prof. Roberto Baratti Ing. Stefania Tronci Dottorato . . . . . . . . . . . . . . . . . . . . . . . . . 5 2 ASP Models and Simulations 7 2.1 The Activated Sludge Process
Transport Processes in a Salt-Dome Environment We consider coupled subsurface flow
Kornhuber, Ralf
Transport Processes in a Salt-Dome Environment A We consider coupled subsurface flow and transport within a vertical cross section of a sedimentary basin. To illustrate the effects of (1) heat flow and heat transport simulations will be compared with coupled flow and mass transport simulations
Coupled Thermal-Hydrological-Mechanical Processes in Salt, Hot...
Broader source: Energy.gov (indexed) [DOE]
addresses granular salt reconsolidation from three vantage points: laboratory testing, modeling, and petrofabrics. The experimental data 1) provide greater insight and...
Topic Models: A Novel Method for Modeling Couple and Family David C. Atkins
Steyvers, Mark
of California, Los Angeles Couple and family researchers often collect open-ended linguistic data participants' responses are not forced into a set number of categories, text-based data can be very richTopic Models: A Novel Method for Modeling Couple and Family Text Data David C. Atkins University
Coupling the high-complexity land surface model ACASA to the mesoscale model WRF
Pyles, R. D.
In this study, the Weather Research and Forecasting (WRF) model is coupled with the Advanced Canopy–Atmosphere–Soil Algorithm (ACASA), a high-complexity land surface model. Although WRF is a state-of-the-art regional ...
Coupling the High Complexity Land Surface Model ACASA to the Mesoscale Model WRF
Xu, L.
In this study, the Weather Research and Forecasting Model (WRF) is coupled with the Advanced Canopy-Atmosphere-Soil Algorithm (ACASA), a high complexity land surface model. Although WRF is a state-of-the-art regional ...
Coherent control of hyperfine-coupled electron and nuclear spins for quantum information processing
Yang, Jamie Chiaming
2008-01-01
Coupled electron-nuclear spins are promising physical systems for quantum information processing: By combining the long coherence times of the nuclear spins with the ability to initialize, control, and measure the electron ...
Coupled wake boundary layer model of wind-farms
Stevens, Richard J A M; Meneveau, Charles
2014-01-01
We present and test a coupled wake boundary layer (CWBL) model that describes the distribution of the power output in a wind-farm. The model couples the traditional, industry-standard wake expansion/superposition approach with a top-down model for the overall wind-farm boundary layer structure. The wake expansion/superposition model captures the effect of turbine positioning, while the top-down portion adds the interaction between the wind-turbine wakes and the atmospheric boundary layer. Each portion of the model requires specification of a parameter that is not known a-priori. For the wake model the wake expansion coefficient is required, while the top-down model requires an effective span-wise turbine spacing within which the model's momentum balance is relevant. The wake expansion coefficient is obtained by matching the predicted mean velocity at the turbine from both approaches, while the effective span-wise turbine spacing depends on turbine positioning and thus can be determined from the wake expansion...
Relativistic Point Coupling Model for Vibrational Excitations in the Continuum
Ring, P.; Daoutidis, J.; Litvinova, E.; Niksic, T.; Paar, N.; Vretenar, D.
2009-08-26
An implementation of the relativistic random phase approximation with the proper treatment of the continuum has been developed for the relativistic point coupling model and applied to investigate collective excitations in spherical nuclei. The results are compared with the spectral implementation of the same model. In heavy nuclei, where the escape width is negligible, we find an excellent agreement between both methods in the region of giant resonance and some discrepancies in the region of low-lying pygmy resonance. The differences are more pronounced in light nuclei due to the larger values of the escape widths.
Process modeling and industrial energy use
Howe, S O; Pilati, D A; Sparrow, F T
1980-11-01
How the process models developed at BNL are used to analyze industrial energy use is described and illustrated. Following a brief overview of the industry modeling program, the general methodology of process modeling is discussed. The discussion highlights the important concepts, contents, inputs, and outputs of a typical process model. A model of the US pulp and paper industry is then discussed as a specific application of process modeling methodology. Case study results from the pulp and paper model illustrate how process models can be used to analyze a variety of issues. Applications addressed with the case study results include projections of energy demand, conservation technology assessment, energy-related tax policies, and sensitivity analysis. A subsequent discussion of these results supports the conclusion that industry process models are versatile and powerful tools for energy end-use modeling and conservation analysis. Information on the current status of industry models at BNL is tabulated.
Numerical Modeling of Thermal EOR: Comprehensive Coupling of an AMR-Based Model
Paris-Sud XI, Université de
Flow and Geomechanics N. Guy*, G. Enchéry and G. Renard IFP Energies nouvelles, 1-4 avenue de Bois of Thermal EOR: Comprehensive Coupling of an AMR-Based Model of Thermal Fluid Flow and Geomechanics when both thermal fluid flow and geomechanics are coupled in order to take into account variations
Quality Metrics for Business Process Models
van der Aalst, Wil
1 Quality Metrics for Business Process Models Irene Vanderfeesten1 , Jorge Cardoso2 , Jan Mendling3-Koivisto, 2001). This chapter elaborates on the importance of quality metrics for business process modeling to this composi- tional structure, a business process model consists of activities, each of which con- tains
Nuclear symmetry energy in a modified quark meson coupling model
Mishra, R N; Panda, P K; Barik, N; Frederico, T
2015-01-01
We study nuclear symmetry energy and the thermodynamic instabilities of asymmetric nuclear matter in a self-consistent manner by using a modified quark-meson coupling model where the confining interaction for quarks inside a nucleon is represented by a phenomenologically averaged potential in an equally mixed scalar-vector harmonic form. The nucleon-nucleon interaction in nuclear matter is then realized by introducing additional quark couplings to $\\sigma$, $\\omega$, and $\\rho$ mesons through mean-field approximations. We find an analytic expression for the symmetry energy ${\\cal E}_{sym}$ as a function of its slope $L$. Our result establishes a linear correlation between $L$ and ${\\cal E}_{sym}$. We also analyze the constraint on neutron star radii in $(pn)$ matter with $\\beta$ equilibrium.
An Eulerian CFD model and X-ray radiography for coupled nozzle...
Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)
An Eulerian CFD model and X-ray radiography for coupled nozzle flow and spray in internal combustion engines Title An Eulerian CFD model and X-ray radiography for coupled nozzle...
Coupled Model for Heat and Water Transport in a High Level Waste...
Coupled Model for Heat and Water Transport in a High Level Waste Repository in Salt Coupled Model for Heat and Water Transport in a High Level Waste Repository in Salt This report...
An Eulerian CFD Model and X-ray Radiography for Coupled Nozzle...
Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)
Model and X-ray Radiography for Coupled Nozzle Flow and Spray in Internal Combustion Engines Title An Eulerian CFD Model and X-ray Radiography for Coupled Nozzle Flow and Spray in...
Cupola Furnace Computer Process Model
Seymour Katz
2004-12-31
The cupola furnace generates more than 50% of the liquid iron used to produce the 9+ million tons of castings annually. The cupola converts iron and steel into cast iron. The main advantages of the cupola furnace are lower energy costs than those of competing furnaces (electric) and the ability to melt less expensive metallic scrap than the competing furnaces. However the chemical and physical processes that take place in the cupola furnace are highly complex making it difficult to operate the furnace in optimal fashion. The results are low energy efficiency and poor recovery of important and expensive alloy elements due to oxidation. Between 1990 and 2004 under the auspices of the Department of Energy, the American Foundry Society and General Motors Corp. a computer simulation of the cupola furnace was developed that accurately describes the complex behavior of the furnace. When provided with the furnace input conditions the model provides accurate values of the output conditions in a matter of seconds. It also provides key diagnostics. Using clues from the diagnostics a trained specialist can infer changes in the operation that will move the system toward higher efficiency. Repeating the process in an iterative fashion leads to near optimum operating conditions with just a few iterations. More advanced uses of the program have been examined. The program is currently being combined with an ''Expert System'' to permit optimization in real time. The program has been combined with ''neural network'' programs to affect very easy scanning of a wide range of furnace operation. Rudimentary efforts were successfully made to operate the furnace using a computer. References to these more advanced systems will be found in the ''Cupola Handbook''. Chapter 27, American Foundry Society, Des Plaines, IL (1999).
BUSINESS PROCESS MODELING WITH UML Nuno Castela
da Silva, Alberto Rodrigues
BUSINESS PROCESS MODELING WITH UML Nuno Castela Escola Superior de Tecnologia de Castelo Branco@est.ipcb.pt Key words: Modeling, Business processes, UML Abstract: This paper focuses the reasons and advantages and description of the methodology to apply business modeling is made, namely, the organization of the modeling
Towards a Security Engineering Process Model for Electronic Business Processes
Eichler, Jörn
2012-01-01
Business process management (BPM) and accompanying systems aim at enabling enterprises to become adaptive. In spite of the dependency of enterprises on secure business processes, BPM languages and techniques provide only little support for security. Several complementary approaches have been proposed for security in the domain of BPM. Nevertheless, support for a systematic procedure for the development of secure electronic business processes is still missing. In this paper, we pinpoint the need for a security engineering process model in the domain of BPM and identify key requirements for such process model.
Grossmann, Ignacio E.
in the reboilers, which in turn decreases water use in the boiler loop. This coupling of the two process synthesis
Global and multi-scale features of solar wind-magnetosphere coupling: From modeling to forecasting
Sitnov, Mikhail I.
Global and multi-scale features of solar wind-magnetosphere coupling: From modeling to forecasting issue. This paper presents a data-derived model of the solar wind-magnetosphere coupling that combines of solar wind-magnetosphere coupling: From modeling to forecasting, Geophys. Res. Lett., 31, L08802, doi:10
Modeling and Identification of Material Parameters in Coupled Torsion and Bending
coupled torsion and bending. In this paper we present a model (Section 2) for coupled torsion and bending and damping (bending and torsional) in vibration experiments. The model presented in this paper is itself new3 y 3 y Modeling and Identification of Material Parameters in Coupled Torsion and Bending H
Model for a transformer-coupled toroidal plasma source
Rauf, Shahid; Balakrishna, Ajit; Chen Zhigang; Collins, Ken [Applied Materials, Inc., 974 E. Arques Avenue, Sunnyvale, California 94085 (United States)
2012-01-15
A two-dimensional fluid plasma model for a transformer-coupled toroidal plasma source is described. Ferrites are used in this device to improve the electromagnetic coupling between the primary coils carrying radio frequency (rf) current and a secondary plasma loop. Appropriate components of the Maxwell equations are solved to determine the electromagnetic fields and electron power deposition in the model. The effect of gas flow on species transport is also considered. The model is applied to 1 Torr Ar/NH{sub 3} plasma in this article. Rf electric field lines form a loop in the vacuum chamber and generate a plasma ring. Due to rapid dissociation of NH{sub 3}, NH{sub x}{sup +} ions are more prevalent near the gas inlet and Ar{sup +} ions are the dominant ions farther downstream. NH{sub 3} and its by-products rapidly dissociate into small fragments as the gas flows through the plasma. With increasing source power, NH{sub 3} dissociates more readily and NH{sub x}{sup +} ions are more tightly confined near the gas inlet. Gas flow rate significantly influences the plasma characteristics. With increasing gas flow rate, NH{sub 3} dissociation occurs farther from the gas inlet in regions with higher electron density. Consequently, more NH{sub 4}{sup +} ions are produced and dissociation by-products have higher concentrations near the outlet.
Topic Models: A Novel Method for Modeling Couple and Family David C. Atkins
Rubin, Tim
Topic Models: A Novel Method for Modeling Couple and Family Text Data David C. Atkins University participants' responses are not forced into a set number of categories, text-based data can be very rich an alternative method for analyzing text data called topic models (Steyvers & Griffiths, 2006), which has not yet
Flavour Changing Higgs Couplings in a Class of Two Higgs Doublet Models
F. J. Botella; G. C. Branco; M. Nebot; M. N. Rebelo
2015-08-20
We analyse various flavour changing processes like $t\\to hu,hc$, $h\\to \\tau e,\\tau\\mu$ as well as hadronic decays $h\\to bs,bd$, in the framework of a class of two Higgs doublet models where there are flavour changing neutral scalar currents at tree level. These models have the remarkable feature of having these flavour-violating couplings entirely determined by the CKM and PMNS matrices as well as $\\tan\\beta$. The flavour structure of these scalar currents results from a symmetry of the Lagrangian and therefore it is natural and stable under the renormalization group. We show that in some of the models the rates of the above flavour changing processes can reach the discovery level at the LHC at 13 TeV even taking into account the stringent bounds on low energy processes, in particular $\\mu\\to e\\gamma$.
Flavour Changing Higgs Couplings in a Class of Two Higgs Doublet Models
Botella, F J; Nebot, M; Rebelo, M N
2015-01-01
We analyse various flavour changing processes like $t\\to hu,hc$, $h\\to \\tau e,\\tau\\mu$ as well as hadronic decays $h\\to bs,bd$, in the framework of a class of two Higgs doublet models where there are flavour changing neutral scalar currents at tree level. These models have the remarkable feature of having these flavour-violating couplings entirely determined by the CKM and PMNS matrices as well as $\\tan\\beta$. The flavour structure of these scalar currents results from a symmetry of the Lagrangian and therefore it is natural and stable under the renormalization group. We show that in some of the models the rates of the above flavour changing processes can reach the discovery level at the LHC at 13 TeV even taking into account the stringent bounds on low energy processes, in particular $\\mu\\to e\\gamma$.
Coupled-Channel Models of Direct-Semidirect Capture via Giant-Dipole Resonances
Thompson, I J [Lawrence Livermore National Laboratory (LLNL)] [Lawrence Livermore National Laboratory (LLNL); Escher, Jutta E [ORNL] [ORNL; Arbanas, Goran [ORNL] [ORNL
2013-01-01
Semidirect capture, a two-step process that excites a giant-dipole resonance followed by its radiative de-excitation, is a dominant process near giant-dipole resonances, that is, for incoming neutron energies within 5 20 MeV. At lower energies such processes may affect neutron capture rates that are relevant to astrophysical nucleosynthesis models. We implement a semidirect capture model in the coupled-channel reaction code Fresco and validate it by comparing the cross section for direct-semidirect capture 208Pb(n,g)209Pb to experimental data. We also investigate the effect of low-energy electric dipole strength in the pygmy resonance. We use a conventional single-particle direct-semidirect capture code Cupido for comparison. Furthermore, we present and discuss our results for direct-semidirect capture reaction 130Sn(n,g)131Sn, the cross section of which is known to have a significant effect on nucleosynthesis models.
Initial design for a fish bioenergetics model of Pacific saury coupled to a lower trophic ecosystem-0001, Japan ABSTRACT A fish bioenergetics model coupled with an ecosystem model was developed to reproduce ecosystem model were input to the bioenergetics model of saury as the prey densities. Although certain model
On the boundary coupling of topological Landau-Ginzburg models
C. I. Lazaroiu
2003-12-24
I propose a general form for the boundary coupling of B-type topological Landau-Ginzburg models. In particular, I show that the relevant background in the open string sector is a (generally non-Abelian) superconnection of type (0,1) living in a complex superbundle defined on the target space, which I allow to be a non-compact Calabi-Yau manifold. This extends and clarifies previous proposals. Generalizing an argument due to Witten, I show that BRST invariance of the partition function on the worldsheet amounts to the condition that the (0,superconnection's curvature equals a constant endomorphism plus the Landau-Ginzburg potential times the identity section of the underlying superbundle. This provides the target space equations of motion for the open topological model.
Models of radiofrequency coupling for negative ion sources
Cavenago, M.; Petrenko, S. [INFN-LNL, viale dell'Universita n.2, 35020 Legnaro (Italy)
2012-02-15
Radiofrequency heating for ICP (inductively coupled plasma) ion sources depends on the source operating pressure, the presence or absence of a Faraday shield, the driver coil geometry, the frequency used, and the magnetic field configuration: in negative ion source a magnetic filter seems necessary for H{sup -} survival. The result of single particle simulations showing the possibility of electron acceleration in the preglow regime and for reasonable driver chamber radius (15 cm) is reported, also as a function of the static external magnetic field. An effective plasma conductivity, depending not only from electron density, temperature, and rf field but also on static magnetic field is here presented and compared to previous models. Use of this conductivity and of multiphysics tools for a plasma transport and heating model is shown and discussed for a small source.
Dorman, Jeffrey G.
2011-01-01
allows parameters for bioenergetics (ingestion, respiration,robust set of data on the bioenergetics and physiology of E.time in the model. Bioenergetics. The bioenergetics of the
Dorman, Jeffrey
2011-01-01
allows parameters for bioenergetics (ingestion, respiration,robust set of data on the bioenergetics and physiology of E.time in the model. Bioenergetics. The bioenergetics of the
Modelling the transient processes produced under heavy particle irradiation
Sorina Lazanu; Ionel Lazanu; Gheorghe Ciobanu
2010-11-30
A new model for the thermal spike produced by the nuclear energy loss, as source of transient processes, is derived analytically, for power law dependences of the diffusivity on temperature, as solution of the heat equation. The contribution of the ionizing energy loss to the spike is not included. The range of validity of the model is analysed, and the results are compared with numerical solutions obtained in the frame of the previous model of the authors, which takes into account both nuclear and ionization energy losses, as well as the coupling between the two subsystems in crystalline semiconductors. Particular solutions are discussed and the errors induced by these approximations are analysed.
Spatial model coupling -an efficient scheme to combine hydraulic and geomechanic simulations
Cirpka, Olaf Arie
Spatial model coupling - an efficient scheme to combine hydraulic and geomechanic simulations present a spatial coupling approach with two subdomains [1]: Hydro-geomechanical model full model approach-field (geomechanics are neglected) hydro-geomechanical subdomain el2p model hydraulic subdomain 2p model hydraulic
Fu, Gregory C.
Elucidating Reactivity Differences in Palladium-Catalyzed Coupling Processes: The Chemistry of Palladium Hydrides Ivory D. Hills and Gregory C. Fu* Department of Chemistry, Massachusetts Institute recently been described in the develop- ment of highly active palladium-based catalysts for cross
Bio-Optical Response and Coupling with Physical Processes in the Lombok Strait Region
Boss, Emmanuel S.
Bio-Optical Response and Coupling with Physical Processes in the Lombok Strait Region Burton H.boss@maine.edu ABSTRACT The optical structure and variability of the Lombok Straits region is poorly understood, but available remotely sensed ocean color indicates that there is a strong optical response and signal
TOPO-EUROPE: The geoscience of coupled deep Earth-surface processes
Jones, Alan G.
TOPO-EUROPE: The geoscience of coupled deep Earth-surface processes S.A.P.L. Cloetingh ,1 , P. Soesoo, W. Spakman, R.A. Stephenson, H. Thybo, T. Torsvik, G. de Vicente, F. Wenzel, M.J.R. Wortel, TOPO-EUROPE Working Group2 Received 1 June 2006; accepted 2 February 2007 Available online 19 April 2007 Abstract TOPO-EUROPE
Hammes-Schiffer, Sharon
Proton-coupled electron transfer reactions in solution: Molecular dynamics with quantum transitions A general minimal model for proton-coupled electron transfer PCET reactions in solution is presented. This model consists of three coupled degrees of freedom that represent an electron, a proton, and a solvent
Modeling Engineering Change Management Process in Virtual
Akgunduz, Ali
Modeling Engineering Change Management Process in Virtual Collaborative Design Environments Change Management - surveys and reviews - industrial case studies - tools & solutions (scarce) - change
Modeling Stem Cell Induction Processes
Gracio, Filipe
Technology for converting human cells to pluripotent stem cell using induction processes has the potential to revolutionize regenerative medicine. However, the production of these so called iPS cells is still quite inefficient ...
Collapse models with non-white noises II: particle-density coupled noises
Stephen L. Adler; Angelo Bassi
2008-08-22
We continue the analysis of models of spontaneous wave function collapse with stochastic dynamics driven by non-white Gaussian noise. We specialize to a model in which a classical "noise" field, with specified autocorrelator, is coupled to a local nonrelativistic particle density. We derive general results in this model for the rates of density matrix diagonalization and of state vector reduction, and show that (in the absence of decoherence) both processes are governed by essentially the same rate parameters. As an alternative route to our reduction results, we also derive the Fokker-Planck equations that correspond to the initial stochastic Schr\\"odinger equation. For specific models of the noise autocorrelator, including ones motivated by the structure of thermal Green's functions, we discuss the qualitative and qantitative dependence on model parameters, with particular emphasis on possible cosmological sources of the noise field.
Panel - Generic Longitudinal Business Process Model
Barkow, Ingo; Block, William C.; Greenfield, Jay; Hebing, Marcel; Hoyle, Larry; Thomas, Wendy
2013-04-03
This presentation described a model for the processes involved in a longitudinal study. The model was developed at a symposium-style workshop held at Dagstuhl in September of 2011 (http://www.dagstuhl.de/11382). The Generic Longitudinal Business...
Affine group formulation of the Standard Model coupled to gravity
Chou, Ching-Yi; Ita, Eyo; Soo, Chopin
2014-04-15
In this work we apply the affine group formalism for four dimensional gravity of Lorentzian signature, which is based on Klauder’s affine algebraic program, to the formulation of the Hamiltonian constraint of the interaction of matter and all forces, including gravity with non-vanishing cosmological constant ?, as an affine Lie algebra. We use the hermitian action of fermions coupled to gravitation and Yang–Mills theory to find the density weight one fermionic super-Hamiltonian constraint. This term, combined with the Yang–Mills and Higgs energy densities, are composed with York’s integrated time functional. The result, when combined with the imaginary part of the Chern–Simons functional Q, forms the affine commutation relation with the volume element V(x). Affine algebraic quantization of gravitation and matter on equal footing implies a fundamental uncertainty relation which is predicated upon a non-vanishing cosmological constant. -- Highlights: •Wheeler–DeWitt equation (WDW) quantized as affine algebra, realizing Klauder’s program. •WDW formulated for interaction of matter and all forces, including gravity, as affine algebra. •WDW features Hermitian generators in spite of fermionic content: Standard Model addressed. •Constructed a family of physical states for the full, coupled theory via affine coherent states. •Fundamental uncertainty relation, predicated on non-vanishing cosmological constant.
Tao, Y.B.; He, Y.L.
2010-10-15
A unified two-dimensional numerical model was developed for the coupled heat transfer process in parabolic solar collector tube, which includes nature convection, forced convection, heat conduction and fluid-solid conjugate problem. The effects of Rayleigh number (Ra), tube diameter ratio and thermal conductivity of the tube wall on the heat transfer and fluid flow performance were numerically analyzed. The distributions of flow field, temperature field, local Nu and local temperature gradient were examined. The results show that when Ra is larger than 10{sup 5}, the effects of nature convection must be taken into account. With the increase of tube diameter ratio, the Nusselt number in inner tube (Nu{sub 1}) increases and the Nusselt number in annuli space (Nu{sub 2}) decreases. With the increase of tube wall thermal conductivity, Nu{sub 1} decreases and Nu{sub 2} increases. When thermal conductivity is larger than 200 W/(m K), it would have little effects on Nu and average temperatures. Due to the effect of the nature convection, along the circumferential direction (from top to down), the temperature in the cross-section decreases and the temperature gradient on inner tube surface increases at first. Then, the temperature and temperature gradients would present a converse variation at {theta} near {pi}. The local Nu on inner tube outer surface increases along circumferential direction until it reaches a maximum value then it decreases again. (author)
Mathematical Formulation Requirements and Specifications for the Process Models
Steefel, C.; Moulton, D.; Pau, G.; Lipnikov, K.; Meza, J.; Lichtner, P.; Wolery, T.; Bacon, D.; Spycher, N.; Bell, J.; Moridis, G.; Yabusaki, S.; Sonnenthal, E.; Zyvoloski, G.; Andre, B.; Zheng, L.; Davis, J.
2010-11-01
The Advanced Simulation Capability for Environmental Management (ASCEM) is intended to be a state-of-the-art scientific tool and approach for understanding and predicting contaminant fate and transport in natural and engineered systems. The ASCEM program is aimed at addressing critical EM program needs to better understand and quantify flow and contaminant transport behavior in complex geological systems. It will also address the long-term performance of engineered components including cementitious materials in nuclear waste disposal facilities, in order to reduce uncertainties and risks associated with DOE EM's environmental cleanup and closure activities. Building upon national capabilities developed from decades of Research and Development in subsurface geosciences, computational and computer science, modeling and applied mathematics, and environmental remediation, the ASCEM initiative will develop an integrated, open-source, high-performance computer modeling system for multiphase, multicomponent, multiscale subsurface flow and contaminant transport. This integrated modeling system will incorporate capabilities for predicting releases from various waste forms, identifying exposure pathways and performing dose calculations, and conducting systematic uncertainty quantification. The ASCEM approach will be demonstrated on selected sites, and then applied to support the next generation of performance assessments of nuclear waste disposal and facility decommissioning across the EM complex. The Multi-Process High Performance Computing (HPC) Simulator is one of three thrust areas in ASCEM. The other two are the Platform and Integrated Toolsets (dubbed the Platform) and Site Applications. The primary objective of the HPC Simulator is to provide a flexible and extensible computational engine to simulate the coupled processes and flow scenarios described by the conceptual models developed using the ASCEM Platform. The graded and iterative approach to assessments naturally generates a suite of conceptual models that span a range of process complexity, potentially coupling hydrological, biogeochemical, geomechanical, and thermal processes. The Platform will use ensembles of these simulations to quantify the associated uncertainty, sensitivity, and risk. The Process Models task within the HPC Simulator focuses on the mathematical descriptions of the relevant physical processes.
Multi-Scale Coupling in Ocean and Climate Modeling
Zhengyu Liu, Leslie Smith
2009-08-14
We have made significant progress on several projects aimed at understanding multi-scale dynamics in geophysical flows. Large-scale flows in the atmosphere and ocean are influenced by stable density stratification and rotation. The presence of stratification and rotation has important consequences through (i) the conservation of potential vorticity q = {omega} {center_dot} {del} {rho}, where {omega} is the total vorticity and {rho} is the density, and (ii) the existence of waves that affect the redistribution of energy from a given disturbance to the flow. Our research is centered on quantifying the effects of potential vorticity conservation and of wave interactions for the coupling of disparate time and space scales in the oceans and the atmosphere. Ultimately we expect the work to help improve predictive capabilities of atmosphere, ocean and climate modelers. The main findings of our research projects are described.
DePaoli, David W.; Birdwell, Joseph F.; Gauld, Ian C.; Cipiti, Benjamin B.; de Almeida, Valmor F.
2009-10-01
A number of codes have been developed in the past for safeguards analysis, but many are dated, and no single code is able to cover all aspects of materials accountancy, process monitoring, and diversion scenario analysis. The purpose of this work was to integrate a transient solvent extraction simulation module developed at Oak Ridge National Laboratory, with the Separations and Safeguards Performance Model (SSPM), developed at Sandia National Laboratory, as a first step toward creating a more versatile design and evaluation tool. The SSPM was designed for materials accountancy and process monitoring analyses, but previous versions of the code have included limited detail on the chemical processes, including chemical separations. The transient solvent extraction model is based on the ORNL SEPHIS code approach to consider solute build up in a bank of contactors in the PUREX process. Combined, these capabilities yield a more robust transient separations and safeguards model for evaluating safeguards system design. This coupling and initial results are presented. In addition, some observations toward further enhancement of separations and safeguards modeling based on this effort are provided, including: items to be addressed in integrating legacy codes, additional improvements needed for a fully functional solvent extraction module, and recommendations for future integration of other chemical process modules.
A CONCEPT TO ASSESS THE PERFORMANCE OF A PERMAFROST MODEL RUN FULLY COUPLED WITH A CLIMATE MODEL
Moelders, Nicole
A CONCEPT TO ASSESS THE PERFORMANCE OF A PERMAFROST MODEL RUN FULLY COUPLED WITH A CLIMATE MODEL APPROVED: Dean, College of Natural Science and Mathematics Dean of the Graduate School Date #12;A CONCEPT TO ASSESS THE PERFORMANCE OF A PERMAFROST MODEL RUN FULLY COUPLED WITH A CLIMATE MODEL A DISSERTATION
Article type: Focus Article Replaying History on Process Models for
van der Aalst, Wil
learning, and knowledge discovery) and model-driven process man- agement (process modeling, businessArticle type: Focus Article Replaying History on Process Models for Conformance Checking checking, automated process discovery, Petri nets, business intelligence Abstract Process mining techniques
Shan Sun Rainer Bleck Multi-century simulations with the coupled GISSHYCOM climate model
Shan Sun Æ Rainer Bleck Multi-century simulations with the coupled GISSHYCOM climate model models. Diversity in model design is one of the very few S. Sun (&) NASA Goddard Institute for Space
Modelling and Dynamic Simulation for Process Control
Skogestad, Sigurd
principles for model development are outlined, and these principles are applied to a simple ash tank (which. In this paper we consider dynamic process models obtained using fundamental principles (eg. based reactor, a simple trend analysis using temperature measurements may be suÆcient. Dynamic models
Modeling Business Objectives for Business Process Management
Ulm, Universität
Modeling Business Objectives for Business Process Management Matthias Lohrmann and Manfred Reichert quality, business objective models assume the role of formal requirements definitions as in software engi a refined business objective modeling approach. Our approach builds on use case-based effectiveness criteria
Tsang, Chin-Fu; Blumling, Peter; Bernier, Frederic
2006-02-15
This paper provides a comparative discussion of coupledhydromechanical processes in three different geological formations:crystalline rock, plastic clay, and indurated clay. First, the importantprocesses and associated property characteristics in the three rock typesare discussed. Then, one particular hydromechanical coupling is broughtup for detailed consideration, that of pore pressure changes in nearbyrock during tunnel excavation. Three field experiments in the three rocktypes are presented and their results are discussed. It is shown that themain physical processes are common to all three rock types, but with verydifferent time constants. The different issues raised by these cases arepointed out, and the transferable lessons learned are identified. Suchcross fertilization and simultaneous understanding of coupled processesin three very different rock types help to greatly enhance confidence inthe state of science in this field.
Kornhuber, Ralf
Transport Processes in a Salt-Dome Environment B We consider coupled subsurface flow). (1) How is the conductive temperature distribution affected by the thermal conductivity of the salt in the simulation? In particular, compare the flow direction along the salt flanks. #12;Model domain No vertical
Fuel Conditioning Facility Electrorefiner Process Model
DeeEarl Vaden
2005-10-01
The Fuel Conditioning Facility at the Idaho National Laboratory processes spent nuclear fuel from the Experimental Breeder Reactor II using electro-metallurgical treatment. To process fuel without waiting for periodic sample analyses to assess process conditions, an electrorefiner process model predicts the composition of the electrorefiner inventory and effluent streams. For the chemical equilibrium portion of the model, the two common methods for solving chemical equilibrium problems, stoichiometric and non stoichiometric, were investigated. In conclusion, the stoichiometric method produced equilibrium compositions close to the measured results whereas the non stoichiometric method did not.
A Conceptual Approach to Two-Scale Constitutive Modelling For Hydro-Mechanical Coupling
Giang D. Nguyen; Abbas El-Zein; Terry Bennett
2014-06-05
Large scale modelling of fluid flow coupled with solid failure in geothermal reservoirs or hydrocarbon extraction from reservoir rocks usually involves behaviours at two scales: lower scale of the inelastic localization zone, and larger scale of the bulk continuum where elastic behaviour can be reasonably assumed. The hydraulic conductivities corresponding to the mechanical properties at these two scales are different. In the bulk elastic host rock, the hydraulic conductivity does not vary much with the deformation, while it significantly changes in the lower scale of the localization zone due to inelastic deformation. Increase of permeability due to fracture and/or dilation, or reduction of permeability due to material compaction can take place inside this zone. The challenge is to predict the evolution of hydraulic conductivities coupled with the mechanical behaviour of the material in all stages of the deformation process. In the early stage of diffuse deformation, the permeability of the material can be reasonably assumed to be homogenous over the whole Representative Volume Element (RVE) However, localized failure results in distinctly different conductivities in different parts of the RVE. This paper establishes a general framework and corresponding field equations to describe the hydro-mechanical coupling in both diffuse and localized stages of deformation in rocks. In particular, embedding the lower scale hydro-mechanical behaviour of the localization zone inside an elastic bulk, together with their corresponding effective sizes, helps effectively deal with scaling issues in large-scale modelling. Preliminary results are presented which demonstrate the promising features of this new approach.
Exploring chaos to model the design process
Sharkawy, Ahmed
1990-01-01
of design as a sequence of three rational processes (14) 10 Jansson's tsvo space model (15) 4 The different types of constraints within the design process The major processes occuring in Jansson's concept space. 19 6 Figure 6a depicts the skeleton upon... model and how it fits within March's depiction 9 Reduced two variable model and how it fits within Jansson's scheme . . 45 10 Map of case: 3=2. 0, /=50, d=0. 15 47 11 Map of case: %=2. 2, y=50, d=0. 15 48 12 Map of' case: 4=2. 6, @=50, d=0. 15 49...
MODEL OF DIFFUSERS / PERMEATORS FOR HYDROGEN PROCESSING
Hang, T; William Jacobs, W
2007-08-27
Palladium-silver (Pd-Ag) diffusers are mainstays of hydrogen processing. Diffusers separate hydrogen from inert species such as nitrogen, argon or helium. The tubing becomes permeable to hydrogen when heated to more than 250 C and a differential pressure is created across the membrane. The hydrogen diffuses better at higher temperatures. Experimental or experiential results have been the basis for determining or predicting a diffuser's performance. However, the process can be mathematically modeled, and comparison to experimental or other operating data can be utilized to improve the fit of the model. A reliable model-based diffuser system design is the goal which will have impacts on tritium and hydrogen processing. A computer model has been developed to solve the differential equations for diffusion given the operating boundary conditions. The model was compared to operating data for a low pressure diffuser system. The modeling approach and the results are presented in this paper.
Wei, Jun
Climatological high resolution coupled climate model simulations for the maritime continent have been carried out using the regional climate model (RegCM) version 3 and the finite volume coastal ocean model (FVCOM) ...
David Shafer; Michael Young; Stephen Zitzer; Eric McDonald; Todd Caldwell
2004-05-12
Evapotransiration (ET) covers have gained widespread acceptance as a closure feature for waste disposal sites, particularly in the arid and semi-arid regions of the southwestern U.S. But as landforms, ET covers are subject to change over time because of processes such as pedogenesis, hydrologic processes, vegetation establishment and change, and biological processes. To better understand the effects of coupled process changes to ET covers, a series of four primary analog sites in Yucca Flat on the Nevada Test Site, along with measurements and observations from other locations in the Mojave Desert, were selected to evaluate changes in ET covers over time. The analog sites, of varying ages, were selected to address changes in the early post-institutional control period, the 1,000-year compliance period for disposal of low-level and mixed low-level waste, and the 10,000-year compliance period for transuranic waste sites.
Zheng, L.; Samper, J.; Montenegro, L.; Fernandez, A.M.
2010-05-01
Unsaturated compacted bentonite is foreseen by several countries as a backfill and sealing material in high-level radioactive waste repositories. The strong interplays between thermal (T), hydrodynamic (H), mechanical (M) and chemical (C) processes during the hydration stage of a repository call for fully coupled THMC models. Validation of such THMC models is prevented by the lack of comprehensive THMC experiments and the difficulties of experimental methods to measure accurately the chemical composition of bentonite porewater. We present here a non-isothermal multiphase flow and multicomponent reactive solute transport model for a deformable medium of a heating and hydration experiment performed on a sample of compacted FEBEX bentonite. Besides standard solute transport and geochemical processes, the model accounts for solute cross diffusion and thermal and chemical osmosis. Bentonite swelling is solved with a state-surface approach. The THM model is calibrated with transient temperature, water content and porosity data measured at the end of the experiment. The reactive transport model is calibrated with porewater chemical data derived from aqueous extract data. Model results confirm that thermal osmosis is relevant for the hydration of FEBEX bentonite while chemical osmosis can be safely neglected. Dilution and evaporation are the main processes controlling the concentration of conservative species. Dissolved cations are mostly affected by calcite dissolution-precipitation and cation exchange reactions. Dissolved sulphate is controlled by gypsum/anhydrite dissolution-precipitation. pH is mostly buffered by protonation/deprotonation via surface complexation. Computed concentrations agree well with inferred aqueous extract data at all sections except near the hydration boundary where cation data are affected by a sampling artifact. The fit of Cl{sup -} data is excellent except for the data near the heater. The largest deviations of the model from inferred aqueous extract data occur for dissolved SO{sub 4}{sup 2-} which is underpredicted by the model. There are uncertainties on the amount of gypsum available for dissolution and its dissolution mechanism (kinetics or local equilibrium).
Modeling and Improving an Industrial Software Process
Picco, Gian Pietro
possible levels of maturity for a software process. At the first level, software production activities continuous improvement. It is the basis of the Japanese approach to industrial production and is applied1 Modeling and Improving an Industrial Software Process Sergio Bandinelli, Alfonso Fuggetta, Member
Modeling Coupled Processes in Clay Formations for Radioactive Waste Disposal
Liu, Hui-Hai
2010-01-01
ionic transport in porous shales, J. Geophys. Res. 109 , p.During the Early Compaction of Shales, from Fluid Flow andand Rupture of Heterogeneous Shale Samples by Using a Non-
Modeling Coupled Processes in Clay Formations for Radioactive Waste Disposal
Liu, Hui-Hai
2010-01-01
Pressurized Water Reactor (PWR) used nuclear fuel. The firstrepository tunnels, the PWR type of used fuel is typicallyby the length of individual PWR fuel elements and the number
Study of Higgs self couplings of a supersymmetric $E_6$ model at the International Linear Collider
S. W. Ham; Kideok Han; Jungil Lee; S. K. Oh
2009-11-30
We study the Higgs self couplings of a supersymmetric $E_6$ model that has two Higgs doublets and two Higgs singlets. The lightest scalar Higgs boson in the model may be heavier than 112 GeV, at the one-loop level, where the negative results for the Higgs search at the LEP2 experiments are taken into account. The contributions from the top and scalar top quark loops are included in the radiative corrections to the one-loop mass of the lightest scalar Higgs boson, in the effective potential approximation. The effect of the Higgs self couplings may be observed in the production of the lightest scalar Higgs bosons in $e^+e^-$ collisions at the International Linear Collider (ILC) via double Higgs-strahlung process. For the center of mass energy of 500 GeV with the integrated luminosity of 500 fb$^{-1}$ and the efficiency of 20 %, we expect that at least 5 events of the lightest scalar Higgs boson may be produced at the ILC via double Higgs-strahlung process.
AN ADAPTIVE FINITE ELEMENT METHOD FOR THE EDDY CURRENT MODEL WITH CIRCUIT/FIELD COUPLINGS
AN ADAPTIVE FINITE ELEMENT METHOD FOR THE EDDY CURRENT MODEL WITH CIRCUIT/FIELD COUPLINGS JUNQING for solving the eddy current model with voltage excitations for complicated three dimensional structures of the proposed method. Key words. Eddy current, circuit/field coupling, adaptivity, a posteriori error analysis
John, Sajeev
of the photovoltaics market. Currently, the best efficiency of commercial silicon solar modules is around 17Coupled optical and electrical modeling of solar cell based on conical pore silicon photonic://jap.aip.org/authors #12;Coupled optical and electrical modeling of solar cell based on conical pore silicon photonic
Coupling of Integrated Biosphere Simulator to Regional Climate Model version 3
Winter, Jonathan (Jonathan Mark)
2006-01-01
Presented in this thesis is a description of the coupling of Integrated Biosphere Simulator (IBIS) to Regional Climate Model version 3 (RegCM3), and an assessment of the coupled model (RegCM3-IBIS). RegCM3 is a 3-dimensional, ...
El Nino duration time (month) Dynamic coupling of an ENSO model to the
Goelzer, Heiko
El Nino duration time (month) Dynamic coupling of an ENSO model to the global coupled climate model changes in the thermohaline circulation and changes in the El Nino/Southern Oscillation (ENSO), the Zebiak distribution El Nino event interval (month) · Interval between ENSO events shifted towards longer times
Coupling GIS and LCA for biodiversity assessments of land use: Part 1: Inventory modeling
Geyer, Roland; Stoms, David M.; Lindner, Jan P.; Davis, Frank W.; Wittstock, Bastian
2010-01-01
scenarios were developed with GIS modeling. Current land use0170-9 LAND USE IN LCA Coupling GIS and LCA for biodiversityGeographic information systems (GIS) are adept at modeling
Impact of Agricultural Practice on Regional Climate in a Coupled Land Surface Mesoscale Model
Cooley, H.S.; Riley, W.J.; Torn, M.S.; He, Y.
2004-01-01
winter wheat belt on the mesoscale environment, Monthlygeneration Penn State/NCAR mesoscale model (MM5), NCAR,in a Coupled Land Surface Mesoscale Model H.S. Cooley Energy
Approaches to Modeling Coupled Flow and Reaction in a 2-D Cementation Experiment
Steefel, Carl; Cochepin, B.; Trotignon, L.; Bildstein, O.; Steefel, C.; Lagneau, V.; van der Lee, J.
2008-04-01
Porosity evolution at reactive interfaces is a key process that governs the evolution and performances of many engineered systems that have important applications in earth and environmental sciences. This is the case, for example, at the interface between cement structures and clays in deep geological nuclear waste disposals. Although in a different transport regime, similar questions arise for permeable reactive barriers used for biogeochemical remediation in surface environments. The COMEDIE project aims at investigating the coupling between transport, hydrodynamics and chemistry when significant variations of porosity occur. The present work focuses on a numerical benchmark used as a design exercise for the future COMEDIE-2D experiment. The use of reactive transport simulation tools like Hytec and Crunch provides predictions of the physico-chemical evolutions that are expected during the future experiments in laboratory. Focus is given in this paper on the evolution during the simulated experiment of precipitate, permeability and porosity fields. A first case is considered in which the porosity is constant. Results obtained with Crunch and Hytec are in relatively good agreement. Differences are attributable to the models of reactive surface area taken into account for dissolution/precipitation processes. Crunch and Hytec simulations taking into account porosity variations are then presented and compared. Results given by the two codes are in qualitative agreement, with differences attributable in part to the models of reactive surface area for dissolution/precipitation processes. As a consequence, the localization of secondary precipitates predicted by Crunch leads to lower local porosities than for predictions obtained by Hytec and thus to a stronger coupling between flow and chemistry. This benchmark highlights the importance of the surface area model employed to describe systems in which strong porosity variations occur as a result of dissolution/precipitation. The simulation of highly non-linear reactive transport systems is also shown to be partly dependent on specific numerical approaches.
Gas Distribution Modeling using Sparse Gaussian Process Mixture Models
Teschner, Matthias
Gas Distribution Modeling using Sparse Gaussian Process Mixture Models Cyrill Stachniss1 Christian-- In this paper, we consider the problem of learning a two dimensional spatial model of a gas distribution with a mobile robot. Building maps that can be used to accurately predict the gas concentration at query
McMichael, L D; Noble, C R; Margraf, J D; Glascoe, L G
2009-03-26
Structural failures, such as the MacArthur Maze I-880 overpass in Oakland, California and the I-35 bridge in Minneapolis, Minnesota, are recent examples of our national infrastructure's fragility and serve as an important reminder of such infrastructure in our everyday lives. These two failures, as well as the World Trade Center's collapse and the levee failures in New Orleans, highlight the national importance of protecting our infrastructure as much as possible against acts of terrorism and natural hazards. This paper describes a process for evaluating the vulnerability of critical infrastructure to large blast loads using a fully-coupled finite element approach. A description of the finite element software and modeling technique is discussed along with the experimental validation of the numerical tools. We discuss how such an approach can be used for specific problems such as modeling the progressive collapse of a building.
Estimation of landfill emission lifespan using process oriented modeling
Ustohalova, Veronika . E-mail: veronika.ustohalova@uni-essen.de; Ricken, Tim; Widmann, Renatus
2006-07-01
Depending on the particular pollutants emitted, landfills may require service activities lasting from hundreds to thousands of years. Flexible tools allowing long-term predictions of emissions are of key importance to determine the nature and expected duration of maintenance and post-closure activities. A highly capable option represents predictions based on models and verified by experiments that are fast, flexible and allow for the comparison of various possible operation scenarios in order to find the most appropriate one. The intention of the presented work was to develop a experimentally verified multi-dimensional predictive model capable of quantifying and estimating processes taking place in landfill sites where coupled process description allows precise time and space resolution. This constitutive 2-dimensional model is based on the macromechanical theory of porous media (TPM) for a saturated thermo-elastic porous body. The model was used to simulate simultaneously occurring processes: organic phase transition, gas emissions, heat transport, and settlement behavior on a long time scale for municipal solid waste deposited in a landfill. The relationships between the properties (composition, pore structure) of a landfill and the conversion and multi-phase transport phenomena inside it were experimentally determined. In this paper, we present both the theoretical background of the model and the results of the simulations at one single point as well as in a vertical landfill cross section.
McGrail, Bernard P. (Pasco, WA); Martin, Paul F. (Richland, WA); Lindenmeier, Clark W. (Richland, WA)
1999-01-01
The present invention is a method and apparatus for measuring coupled flow, transport and reaction processes under liquid unsaturated flow conditions. The method and apparatus of the present invention permit distinguishing individual precipitation events and their effect on dissolution behavior isolated to the specific event. The present invention is especially useful for dynamically measuring hydraulic parameters when a chemical reaction occurs between a particulate material and either liquid or gas (e.g. air) or both, causing precipitation that changes the pore structure of the test material.
Swaminathan, Madhavan
the building blocks for other passive structures such as spiral inductors, transformers and capacitors [1Modeling RF Passive Circuits using Coupled Lines and Scalable Models Sidharth Dalmia, Sung Hwan Min.swaminathan@ee.gatech.edu Abstract Coupled line sections are critical structures in distributed RF and microwave passive circuits
Author's personal copy Two-way coupling of an ENSO model to the global climate model CLIMBER-3a
Levermann, Anders
it is possible to introduce ENSO variability to an Earth system Model of Intermediate Complexity (EMIC we are using here. In this study we couple the Earth system model of intermediate complexity (EMIC
A Coupled THMC model of FEBEX mock-up test
Zheng, Liange
2010-01-01
BVE 98 inferred data BVE 100 Base model D 0ref model D 0refdata BVE99 inferred data BVE100 base model dispersivity =
Huang, Hai; Plummer, Mitchell; Podgorney, Robert
2013-02-01
Advancement of EGS requires improved prediction of fracture development and growth during reservoir stimulation and long-term operation. This, in turn, requires better understanding of the dynamics of the strongly coupled thermo-hydro-mechanical (THM) processes within fractured rocks. We have developed a physically based rock deformation and fracture propagation simulator by using a quasi-static discrete element model (DEM) to model mechanical rock deformation and fracture propagation induced by thermal stress and fluid pressure changes. We also developed a network model to simulate fluid flow and heat transport in both fractures and porous rock. In this paper, we describe results of simulations in which the DEM model and network flow & heat transport model are coupled together to provide realistic simulation of the changes of apertures and permeability of fractures and fracture networks induced by thermal cooling and fluid pressure changes within fractures. Various processes, such as Stokes flow in low velocity pores, convection-dominated heat transport in fractures, heat exchange between fluid-filled fractures and solid rock, heat conduction through low-permeability matrices and associated mechanical deformations are all incorporated into the coupled model. The effects of confining stresses, developing thermal stress and injection pressure on the permeability evolution of fracture and fracture networks are systematically investigated. Results are summarized in terms of implications for the development and evolution of fracture distribution during hydrofracturing and thermal stimulation for EGS.
Ab-initio modeling of electromechanical coupling at Si surfaces
Hoppe, Sandra; Müller, Stefan; Michl, Anja; Weissmüller, Jörg
2014-08-21
The electromechanical coupling at the silicon (100) and (111) surfaces was studied via density functional theory by calculating the response of the ionization potential and the electron affinity to different types of strain. We find a branched strain response of those two quantities with different coupling coefficients for negative and positive strain values. This can be attributed to the reduced crystal symmetry due to anisotropic strain, which partially lifts the degeneracy of the valence and conduction bands. Only the Si(111) electron affinity exhibits a monotonously linear strain response, as the conduction band valleys remain degenerate under strain. The strain response of the surface dipole is linear and seems to be dominated by volume changes. Our results may help to understand the mechanisms behind electromechanical coupling at an atomic level in greater detail and for different electronic and atomic structures.
A Signal Processing Model of Quantum Mechanics
Chris Thron; Johnny Watts
2012-05-08
This paper develops a deterministic model of quantum mechanics as an accumulation-and-threshold process. The model arises from an analogy with signal processing in wireless communications. Complex wavefunctions are interpreted as expressing the amplitude and phase information of a modulated carrier wave. Particle transmission events are modeled as the outcome of a process of signal accumulation that occurs in an extra (non-spacetime) dimension. Besides giving a natural interpretation of the wavefunction and the Born rule, the model accommodates the collapse of the wave packet and other quantum paradoxes such as EPR and the Ahanorov-Bohm effect. The model also gives a new perspective on the 'relational' nature of quantum mechanics: that is, whether the wave function of a physical system is "real" or simply reflects the observer's partial knowledge of the system. We simulate the model for a 2-slit experiment, and indicate possible deviations of the model's predictions from conventional quantum mechanics. We also indicate how the theory may be extended to a field theory.
Li, Ju
The majority of solid-state deformation and transformation processes involve coupled displacive-diffusional mechanisms, of which a detailed atomic picture does not exist. We present here a complete atomistic description ...
Do Coupled Climate Models Correctly SImulate the Upward Branch of the Deept Ocean Global Conveyor?
Sarmiento, Jorge L; Downes, Stephanie; Bianchi, Daniele
2013-01-17
The large-scale meridional overturning circulation (MOC) connects the deep ocean, a major reservoir of carbon, to the other components of the climate system and must therefore be accurately represented in Earth System Models. Our project aims to address the specific question of the pathways and mechanisms controlling the upwelling branch of the MOC, a subject of significant disagreement between models and observational syntheses, and among general circulation models. Observations of these pathways are limited, particularly in regions of complex hydrography such as the Southern Ocean. As such, we rely on models to examine theories of the overturning circulation, both physically and biogeochemically. This grant focused on a particular aspect of the meridional overturning circulation (MOC) where there is currently significant disagreement between models and observationally based analyses of the MOC, and amongst general circulation models. In particular, the research focused on addressing the following questions: 1. Where does the deep water that sinks in the polar regions rise to the surface? 2. What processes are responsible for this rise? 3. Do state-of-the-art coupled GCMs capture these processes? Our research had three key components: observational synthesis, model development and model analysis. In this final report we outline the key results from these areas of research for the 2007 to 2012 grant period. The research described here was carried out primarily by graduate student, Daniele Bianchi (now a Postdoc at McGill University, Canada), and Postdoc Stephanie Downes (now a Research Fellow at The Australian national University, Australia). Additional support was provided for programmers Jennifer Simeon as well as Rick Slater.
Attrition and abrasion models for oil shale process modeling
Aldis, D.F.
1991-10-25
As oil shale is processed, fine particles, much smaller than the original shale are created. This process is called attrition or more accurately abrasion. In this paper, models of abrasion are presented for oil shale being processed in several unit operations. Two of these unit operations, a fluidized bed and a lift pipe are used in the Lawrence Livermore National Laboratory Hot-Recycle-Solid (HRS) process being developed for the above ground processing of oil shale. In two reports, studies were conducted on the attrition of oil shale in unit operations which are used in the HRS process. Carley reported results for attrition in a lift pipe for oil shale which had been pre-processed either by retorting or by retorting then burning. The second paper, by Taylor and Beavers, reported results for a fluidized bed processing of oil shale. Taylor and Beavers studied raw, retorted, and shale which had been retorted and then burned. In this paper, empirical models are derived, from the experimental studies conducted on oil shale for the process occurring in the HRS process. The derived models are presented along with comparisons with experimental results.
hhh Coupling in SUSY models after LHC run I
Lei Wu; Jin Min Yang; Chien-Peng Yuan; Mengchao Zhang
2015-04-29
We examine the Higgs triple coupling in MSSM and NMSSM under current constraints, which include the LHC measurements, Higgs data, B physics, electroweak precision observables, relic density and so on. The ratio $\\lambda^{\\rm MSSM}_{hhh}/\\lambda^{\\rm SM}_{hhh}$ is above 0.97, due to the highly constrained parameter space. While the ratio $\\lambda^{\\rm NMSSM}_{hhh}/\\lambda^{\\rm SM}_{hhh}$ can reach 0.1 under current constraints. The precise measurement in future collider will give a tighter constraint to the Higgs triple coupling in MSSM and NMSSM.
hhh Coupling in SUSY models after LHC run I
Wu, Lei; Yuan, Chien-Peng; Zhang, Mengchao
2015-01-01
We examine the Higgs triple coupling in MSSM and NMSSM under current constraints, which include the LHC measurements, Higgs data, B physics, electroweak precision observables, relic density and so on. The ratio $\\lambda^{\\rm MSSM}_{hhh}/\\lambda^{\\rm SM}_{hhh}$ is above 0.97, due to the highly constrained parameter space. While the ratio $\\lambda^{\\rm NMSSM}_{hhh}/\\lambda^{\\rm SM}_{hhh}$ can reach 0.1 under current constraints. The precise measurement in future collider will give a tighter constraint to the Higgs triple coupling in MSSM and NMSSM.
Search for Top Quark FCNC Couplings in Z' Models at the LHC and CLIC
O. Cakir; I. T. Cakir; A. Senol; A. T. Tasci
2010-05-28
The top quark is the heaviest particle to date discovered, with a mass close to the electroweak symmetry breaking scale. It is expected that the top quark would be sensitive to the new physics at the TeV scale. One of the most important aspects of the top quark physics can be the investigation of the possible anomalous couplings. Here, we study the top quark flavor changing neutral current (FCNC) couplings via the extra gauge boson Z' at the Large Hadron Collider (LHC) and the Compact Linear Collider (CLIC) energies. We calculate the total cross sections for the signal and the corresponding Standard Model (SM) background processes. For an FCNC mixing parameter x=0.2 and the sequential Z' mass of 1 TeV, we find the single top quark FCNC production cross sections 0.38(1.76) fb at the LHC with sqrt{s_{pp}}=7(14) TeV, respectively. For the resonance production of sequential Z' boson and decays to single top quark at the Compact Linear Collider (CLIC) energies, including the initial state radiation and beamstrahlung effects, we find the cross section 27.96(0.91) fb at sqrt{s_{e^{+}e^{-}}}=1(3) TeV, respectively. We make the analysis to investigate the parameter space (mixing-mass) through various Z' models. It is shown that the results benefit from the flavor tagging.
Rodrigo Alonso; Elizabeth E. Jenkins; Aneesh V. Manohar; Michael Trott
2015-07-27
We calculate the gauge terms of the one-loop anomalous dimension matrix for the dimension-six operators of the Standard Model effective field theory (SM EFT). Combining these results with our previous results for the $\\lambda$ and Yukawa coupling terms completes the calculation of the one-loop anomalous dimension matrix for the dimension-six operators. There are 1350 $CP$-even and $1149$ $CP$-odd parameters in the dimension-six Lagrangian for 3 generations, and our results give the entire $2499 \\times 2499$ anomalous dimension matrix. We discuss how the renormalization of the dimension-six operators, and the additional renormalization of the dimension $d \\le 4$ terms of the SM Lagrangian due to dimension-six operators, lays the groundwork for future precision studies of the SM EFT aimed at constraining the effects of new physics through precision measurements at the electroweak scale. As some sample applications, we discuss some aspects of the full RGE improved result for essential processes such as $gg \\to h$, $h \\to \\gamma \\gamma$ and $h \\to Z \\gamma$, for Higgs couplings to fermions, for the precision electroweak parameters $S$ and $T$, and for the operators that modify important processes in precision electroweak phenomenology, such as the three-body Higgs boson decay $h \\rightarrow Z \\, \\ell^+ \\, \\ell^-$ and triple gauge boson couplings. We discuss how the renormalization group improved results can be used to study the flavor problem in the SM EFT, and to test the minimal flavor violation (MFV) hypothesis. We briefly discuss the renormalization effects on the dipole coefficient $C_{e\\gamma}$ which contributes to $\\mu \\to e \\gamma$ and to the muon and electron magnetic and electric dipole moments.
A turbulent transport network model in MULTIFLUX coupled with TOUGH2
Danko, G.; Bahrami, D.; Birkholzer, J.T.
2011-02-15
A new numerical method is described for the fully iterated, conjugate solution of two discrete submodels, involving (a) a transport network model for heat, moisture, and airflows in a high-permeability, air-filled cavity; and (b) a variably saturated fractured porous medium. The transport network submodel is an integrated-parameter, computational fluid dynamics solver, describing the thermal-hydrologic transport processes in the flow channel system of the cavity with laminar or turbulent flow and convective heat and mass transport, using MULTIFLUX. The porous medium submodel, using TOUGH2, is a solver for the heat and mass transport in the fractured rock mass. The new model solution extends the application fields of TOUGH2 by integrating it with turbulent flow and transport in a discrete flow network system. We present demonstrational results for a nuclear waste repository application at Yucca Mountain with the most realistic model assumptions and input parameters including the geometrical layout of the nuclear spent fuel and waste with variable heat load for the individual containers. The MULTIFLUX and TOUGH2 model elements are fully iterated, applying a programmed reprocessing of the Numerical Transport Code Functionalization model-element in an automated Outside Balance Iteration loop. The natural, convective airflow field and the heat and mass transport in a representative emplacement drift during postclosure are explicitly solved in the new model. The results demonstrate that the direction and magnitude of the air circulation patterns and all transport modes are strongly affected by the heat and moisture transport processes in the surrounding rock, justifying the need for a coupled, fully iterated model solution such as the one presented in the paper.
Accelerating the spin-up of the coupled carbon and nitrogen cycle model in CLM4
DOE Public Access Gateway for Energy & Science Beta (PAGES Beta)
Fang, Yilin; Liu, Chongxuan; Leung, Lai-Yung R.
2015-03-24
The commonly adopted biogeochemistry spin-up process in an Earth system model (ESM) is to run the model for hundreds to thousands of years subject to periodic atmospheric forcing to reach dynamic steady state of the carbon–nitrogen (CN) models. A variety of approaches have been proposed to reduce the computation time of the spin-up process. Significant improvement in computational efficiency has been made recently. However, a long simulation time is still required to reach the common convergence criteria of the coupled carbon–nitrogen model. A gradient projection method was proposed and used to further reduce the computation time after examining the trendmore »of the dominant carbon pools. The Community Land Model version 4 (CLM4) with a carbon and nitrogen component was used in this study. From point-scale simulations, we found that the method can reduce the computation time by 20–69% compared to one of the fastest approaches in the literature. We also found that the cyclic stability of total carbon for some cases differs from that of the periodic atmospheric forcing, and some cases even showed instability. Close examination showed that one case has a carbon periodicity much longer than that of the atmospheric forcing due to the annual fire disturbance that is longer than half a year. The rest was caused by the instability of water table calculation in the hydrology model of CLM4. The instability issue is resolved after we replaced the hydrology scheme in CLM4 with a flow model for variably saturated porous media.« less
Accelerating the spin-up of the coupled carbon and nitrogen cycle model in CLM4
Fang, Yilin; Liu, Chongxuan; Leung, Lai-Yung R.
2015-01-01
The commonly adopted biogeochemistry spin-up process in an Earth system model (ESM) is to run the model for hundreds to thousands of years subject to periodic atmospheric forcing to reach dynamic steady state of the carbon–nitrogen (CN) models. A variety of approaches have been proposed to reduce the computation time of the spin-up process. Significant improvement in computational efficiency has been made recently. However, a long simulation time is still required to reach the common convergence criteria of the coupled carbon–nitrogen model. A gradient projection method was proposed and used to further reduce the computation time after examining the trend of the dominant carbon pools. The Community Land Model version 4 (CLM4) with a carbon and nitrogen component was used in this study. From point-scale simulations, we found that the method can reduce the computation time by 20–69% compared to one of the fastest approaches in the literature. We also found that the cyclic stability of total carbon for some cases differs from that of the periodic atmospheric forcing, and some cases even showed instability. Close examination showed that one case has a carbon periodicity much longer than that of the atmospheric forcing due to the annual fire disturbance that is longer than half a year. The rest was caused by the instability of water table calculation in the hydrology model of CLM4. The instability issue is resolved after we replaced the hydrology scheme in CLM4 with a flow model for variably saturated porous media.
Modeling of Breaching Due to Overtopping Flow and Waves Based on Coupled Flow and Sediment Transport
He, Zhiguo; Zhao, Liang; Wu, Ganfeng; Pähtz, Thomas
2015-01-01
Breaching of earthen or sandy dams/dunes by overtopping flow and waves is a complicated process with strong, unsteady flow, high sediment transport, and rapid bed changes in which the interactions between flow and morphology should not be ignored. This study presents a depth-averaged two-dimensional (2D) coupled flow and sediment transport model to investigate the flow and breaching processes with and without waves. Bed change and variable flow density are included in the flow continuity and momentum equations to consider the impacts of sediment transport. The model adopts the non-equilibrium approach for total-load sediment transport and specifies different repose angles to handle non-cohesive embankment slope avalanching. The equations are solved using an explicit finite volume method on a rectangular grid with the improved Godunov-type central upwind scheme and the nonnegative reconstruction of the water depth method to handle mixed-regime flows near the breach. The model has been tested against two sets o...
Coupled geomechanicsflow modelling at and below a critical stress state used to investigate common: Schlumberger Reservoir Geomechanics Centre of Excellence, 10 The Courtyard, Eastern Road, Bracknell, Berkshire with 49 wells is developed that incorporates fully-coupled geo-mechanics and fluid flow. It is a generic
A faster numerical scheme for a coupled system modelling soil erosion and sediment transport
d'OrlÃ©ans, UniversitÃ©
A faster numerical scheme for a coupled system modelling soil erosion and sediment transport M flow and the bed sediment, are classically described by a well-established system coupling the shallow states and the positivity of both water depth and sediment concentration. Recently, finite volume schemes
Matrix rheology effects on reaction rim growth II: coupled diffusion and creep model
Podladchikov, Yuri
Matrix rheology effects on reaction rim growth II: coupled diffusion and creep model D. W. SCHMID,1 of the matrix that surrounds the reaction sites where the volume change takes place. Consequently, mineral reactions and the mechanical response of the rock matrix are coupled. A companion paper in this issue
Right on time: Measuring Kuramoto model coupling from a survey of wristwatches
Reginald D. Smith
2010-03-25
Using a survey of wristwatch synchronization from a randomly selected group of independent volunteers, one can model the system as a Kuramoto-type coupled oscillator network. Based on the phase data, both the order parameter and an estimated value of the coupling is derived and the possibilities for similar research to deduce topology from dynamics are discussed.
Global optimization by coupled local minimizers and its application to FE model updating
-3001 Heverlee, Belgium Received 2 August 2002; accepted 3 July 2003 Abstract Coupled local minimizersGlobal optimization by coupled local minimizers and its application to FE model updating Anne (CLM) is a new method applicable to global optimization of functions with multiple local minima. In CLM
Simplifying Discovered Process Models in a Controlled Manner
van der Aalst, Wil
a process model by ob- serving events recorded by some information system. The discovery of process models). Output is a process model that is able to reproduce these traces. The automated discovery of processSimplifying Discovered Process Models in a Controlled Manner Dirk Fahland, Wil M.P. van der Aalst
Optimal Initial Conditions for Coupling Ice Sheet Models to Earth...
Office of Scientific and Technical Information (OSTI)
Sheet Models to Earth System Models. Abstract not provided. Authors: Perego, Mauro ; Price, Stephen ; Stadler, Georg Publication Date: 2014-04-01 OSTI Identifier: 1142266 Report...
Reactor Modeling and Recipe Optimization of Polyether Polyol Processes
Grossmann, Ignacio E.
Reactor Modeling and Recipe Optimization of Polyether Polyol Processes Spring 2013 EWO Meeting Yisu.M. Wassick. Reactor Modeling and Recipe Optimization of Polyether Polyol Processes: Polypropylene Glycol
Universality conjecture and results for a model of several coupled positive-definite matrices
Marco Bertola; Thomas Bothner
2015-02-01
The paper contains two main parts: in the first part, we analyze the general case of $p\\geq 2$ matrices coupled in a chain subject to Cauchy interaction. Similarly to the Itzykson-Zuber interaction model, the eigenvalues of the Cauchy chain form a multi level determinantal point process. We first compute all correlations functions in terms of Cauchy biorthogonal polynomials and locate them as specific entries of a $(p+1)\\times (p+1)$ matrix valued solution of a Riemann-Hilbert problem. In the second part, we fix the external potentials as classical Laguerre weights. We then derive strong asymptotics for the Cauchy biorthogonal polynomials when the support of the equilibrium measures contains the origin. As a result, we obtain a new family of universality classes for multi-level random determinantal point fields which include the Bessel$_\
Coupled fluid flow and geomechanical deformation modeling Susan E. Minkoff a,*, C. Mike Stoneb,1
Peszynska, Malgorzata
Coupled fluid flow and geomechanical deformation modeling Susan E. Minkoff a,*, C. Mike Stoneb,1 reservoir properties. Pore pressures from flow are used as loads for the geomechanics code
Coupling of Integrated Biosphere Simulator to Regional Climate Model Version 3
Winter, Jonathan (Jonathan Mark)
A description of the coupling of Integrated Biosphere Simulator (IBIS) to Regional Climate Model version 3 (RegCM3) is presented. IBIS introduces several key advantages to RegCM3, most notably vegetation dynamics, the ...
Dai, Aiguo
Precipitation Characteristics in Eighteen Coupled Climate Models AIGUO DAI National Center) ABSTRACT Monthly and 3-hourly precipitation data from twentieth-century climate simulations by the newest-related variability, convective versus stratiform precipitation ratio, precipitation frequency and intensity
Upadhyay, J; Popovi?, S; Valente-Feliciano, A -M; Phillips, L; Vuškovi?, L
2015-01-01
An rf coaxial capacitively coupled Ar/Cl2 plasma is applied to processing the inner wall of superconducting radio frequency cavities. A dc self-bias potential is established across the inner electrode sheath due to the surface area difference between inner and outer electrodes of the coaxial plasma. The self-bias potential measurement is used as an indication of the plasma sheath voltage asymmetry. The understanding of the asymmetry in sheath voltage distribution in coaxial plasma is important for the modification of the inner surfaces of three dimensional objects. The plasma sheath voltages were tailored to process the outer wall by providing an additional dc current to the inner electrode with the help of an external dc power supply. The dc self-bias potential is measured for different diameter electrodes and its variation on process parameters such as gas pressure, rf power and percentage of chlorine in the Ar/Cl2 gas mixture is studied. The dc current needed to overcome the self-bias potential to make it ...
Developing Fully Coupled Subchannel Model in RELAP-7
Hongbin Zhang; Ling Zou; Haihua Zhao; Richard Martineau
2014-09-01
This is a DOE milestone report documenting the implementation of the subchannel model into the RELAP-7 code.
Computational Modeling of Conventionally Reinforced Concrete Coupling Beams
Shastri, Ajay Seshadri
2012-02-14
. The model is developed in the finite element analysis software ABAQUS. The concrete damaged plasticity model was used to simulate the behavior of concrete. A calibration model using a cantilever beam was produced to generate key parameters in the model... Stress (ABAQUS 2008)??????.????...61 Fig. 3.9. CPS8 Element Used for Modeling Concrete (ABAQUS 2008)?????64 Fig. 4.1. Elevation and Cross-Section of the Cantilever Beam?????????66 Fig. 4.2. Compressive Stress-Strain Behavior of Concrete...
Coupled Mesoscale-Large-Eddy Modeling of Realistic Stable Boundary Layer Turbulence
Wang, Yao; Manuel, Lance
2013-01-01
Site-specific flow and turbulence information are needed for various practical applications, ranging from aerodynamic/aeroelastic modeling for wind turbine design to optical diffraction calculations. Even though highly desirable, collecting on-site meteorological measurements can be an expensive, time-consuming, and sometimes a challenging task. In this work, we propose a coupled mesoscale-large-eddy modeling framework to synthetically generate site-specific flow and turbulence data. The workhorses behind our framework are a state-of-the-art, open-source atmospheric model called the Weather Research and Forecasting (WRF) model and a tuning-free large-eddy simulation (LES) model. Using this coupled framework, we simulate a nighttime stable boundary layer (SBL) case from the well-known CASES-99 field campaign. One of the unique aspects of this work is the usage of a diverse range of observations for characterization and validation. The coupled models reproduce certain characteristics of observed low-level jets....
Near Field Environment Process Model Report
R.A. Wagner
2000-11-14
Waste emplacement and activities associated with construction of a repository system potentially will change environmental conditions within the repository system. These environmental changes principally result from heat generated by the decay of the radioactive waste, which elevates temperatures within the repository system. Elevated temperatures affect distribution of water, increase kinetic rates of geochemical processes, and cause stresses to change in magnitude and orientation from the stresses resulting from the overlying rock and from underground construction activities. The recognition of this evolving environment has been reflected in activities, studies and discussions generally associated with what has been termed the Near-Field Environment (NFE). The NFE interacts directly with waste packages and engineered barriers as well as potentially changing the fluid composition and flow conditions within the mountain. As such, the NFE defines the environment for assessing the performance of a potential Monitored Geologic Repository at Yucca Mountain, Nevada. The NFe evolves over time, and therefore is not amenable to direct characterization or measurement in the ambient system. Analysis or assessment of the NFE must rely upon projections based on tests and models that encompass the long-term processes of the evolution of this environment. This NFE Process Model Report (PMR) describes the analyses and modeling based on current understanding of the evolution of the near-field within the rock mass extending outward from the drift wall.
Hoffman, Forrest M; Randerson, Jim; Thornton, Peter E; Mahowald, Natalie; Bonan, Gordon; Running, Steven; Fung, Inez
2009-01-01
The need to capture important climate feebacks in general circulation models (GCMs) has resulted in new efforts to include atmospheric chemistry and land and ocean biogeochemistry into the next generation of production climate models, now often referred to as Earth System Models (ESMs). While many terrestrial and ocean carbon models have been coupled to GCMs, recent work has shown that such models can yield a wide range of results, suggesting that a more rigorous set of offline and partially coupled experiments, along with detailed analyses of processes and comparisons with measurements, are warranted. The Carbon-Land Model Intercomparison Project (C-LAMP) provides a simulation protocol and model performance metrics based upon comparisons against best-available satellite- and ground-based measurements (Hoffman et al., 2007). C-LAMP provides feedback to the modeling community regarding model improvements and to the measurement community by suggesting new observational campaigns. C-LAMP Experiment 1 consists of a set of uncoupled simulations of terrestrial carbon models specifically designed to examine the ability of the models to reproduce surface carbon and energy fluxes at multiple sites and to exhibit the influence of climate variability, prescribed atmospheric carbon dioxide (CO{sub 2}), nitrogen (N) deposition, and land cover change on projections of terrestrial carbon fluxes during the 20th century. Experiment 2 consists of partially coupled simulations of the terrestrial carbon model with an active atmosphere model exchanging energy and moisture fluxes. In all experiments, atmospheric CO{sub 2} follows the prescribed historical trajectory from C{sup 4}MIP. In Experiment 2, the atmosphere model is forced with prescribed sea surface temperatures (SSTs) and corresponding sea ice concentrations from the Hadley Centre; prescribed CO{sub 2} is radiatively active; and land, fossil fuel, and ocean CO{sub 2} fluxes are advected by the model. Both sets of experiments have been performed using two different terrestrial biogeochemistry modules coupled to the Community Land Model version 3 (CLM3) in the Community Climate System Model version 3 (CCSM3): The CASA model of Fung, et al., and the carbon-nitrogen (CN) model of Thornton. Comparisons against Ameriflus site measurements, MODIS satellite observations, NOAA flask records, TRANSCOM inversions, and Free Air CO{sub 2} Enrichment (FACE) site measurements, and other datasets have been performed and are described in Randerson et al. (2009). The C-LAMP diagnostics package was used to validate improvements to CASA and CN for use in the next generation model, CLM4. It is hoped that this effort will serve as a prototype for an international carbon-cycle model benchmarking activity for models being used for the Inter-governmental Panel on Climate Change (IPCC) Fifth Assessment Report. More information about C-LAMP, the experimental protocol, performance metrics, output standards, and model-data comparisons from the CLM3-CASA and CLM3-CN models are available at http://www.climatemodeling.org/c-lamp.
Discovering Models of Software Processes from EventBased Data
Wolf, Alexander L.
in process discovery is to use those data to describe the process in a form suitable for formalÂmodelDiscovering Models of Software Processes from EventÂBased Data Jonathan E. Cook and Alexander L process methods and tools presuppose the existence of a formal model of a process. Unfortunately
Multiscale modeling of spatially variable water and energy balance processes
Famiglietti, J. S; Wood, E. F
1994-01-01
MULTISCALE WATER AND ENERGY BALANCE MODELING Wood, E. F. ,spatially variable water and energy balance processes J. S.modeling. Water and energy balance models are developed at
Multiscale modeling of spatially variable water and energy balance processes
Famiglietti, J. S; Wood, E. F
1994-01-01
AND WOOD: MULTISCALE WATER AND ENERGY BALANCE MODELING Wood,of spatially variable water and energy balance processes J.hydrological modeling. Water and energy balance models are
Mining Configurable Process Models from Collections of Event Logs
van der Aalst, Wil
towards the discovery of a configurable process model based on a collection of event logs. In this paper related work on process discovery, configurable process models and current model merging techniquesMining Configurable Process Models from Collections of Event Logs J.C.A.M. Buijs, B.F. van Dongen
From Children's Perspectives: A Model of Aesthetic Processing in Theatre
Klein, Jeanne
2005-01-01
A model of aesthetic processing describes how child audiences create meanings of plays in performances.
Coupled Thermal-Hydrological-Mechanical-Chemical Model And Experiments...
Broader source: Energy.gov (indexed) [DOE]
-Hydrological-Mechanical-Chemical Model And Experiments For Optimization Of Enhanced Geothermal System Development And Production: Evaluation of Stimulation at the Newberry Volcano...
Naz, Bibi S [ORNL] [ORNL; Frans, Chris [University of Washington, Seattle] [University of Washington, Seattle; Clarke, Garry [University of British Columbia, Vancouver] [University of British Columbia, Vancouver; Burns, [Watershed Sciences Inc. (WSI), Portland] [Watershed Sciences Inc. (WSI), Portland; Lettenmaier, Dennis [University of Washington, Seattle] [University of Washington, Seattle
2014-01-01
We describe an integrated spatially distributed hydrologic and glacier dynamic model, and use it to investigate the effect of glacier recession on streamflow variations for the Upper Bow River basin, a tributary of the South Saskatchewan River. Several recent studies have suggested that observed decreases in summer flows in the South Saskatchewan River are partly due to the retreat of glaciers in the river's headwaters. Modeling the effect of glacier changes on streamflow response in river basins such as the South Saskatchewan is complicated due to the inability of most existing physically-based distributed hydrologic models to represent glacier dynamics. We compare predicted variations in glacier extent, snow water equivalent and streamflow discharge made with the integrated model with satellite estimates of glacier area and terminus position, observed streamflow and snow water equivalent measurements over the period of 1980 2007. Simulations with the coupled hydrology-glacier model reduce the uncertainty in streamflow predictions. Our results suggested that on average, the glacier melt contribution to the Bow River flow upstream of Lake Louise is about 30% in summer. For warm and dry years, however, the glacier melt contribution can be as large as 50% in August, whereas for cold years, it can be as small as 20% and the timing of glacier melt signature can be delayed by a month.
Phase Transitions in Hierarchical Models: The Role of Coupling
entropy argument for this model, calculating the energy cost of inserting, in a system that finds itself in a pure argument based on the balance of energy and entropy of the model. The rigorous proof is then obtained. The first one is heuristic but in some sense clarifies the point we have in mind. We develop an energy
Dutkiewicz, Stephanie.
We describe the coupling of a three-dimensional ocean circulation model, with explicit thermodynamic seaice and ocean carbon cycle representations, to a two-dimensional atmospheric/land model. This coupled system has been ...
Neural Modeling of Non-Linear Processes: Relevance of the Takens-Ma~ne Theorem
Masulli, Francesco
coupled to a 150 MW steam turbine. 1 Introduction The problem of controlling systems characterized by non to be managed (on a typical steam turbine they are about 576,000/hour). Moreover, so far, there are no availableNeural Modeling of Non-Linear Processes: Relevance of the Takens-Ma~n´e Theorem Francesco Masulli
Second-Order Signature: A Tool for Specifying Data Models, Query Processing, and Optimization
GÃ¼ting, Ralf Hartmut
-order signature (and algebra), a system of two coupled many-sorted signatures, where the top-level signature the types defined as terms of the top level. Hence the top level can be used to define a data or representation model and the bottom level to describe a query algebra or a query processing algebra. We show
Coupling the Mixed Potential and Radiolysis Models for Used Fuel Degradation
Buck, Edgar C.; Jerden, James L.; Ebert, William L.; Wittman, Richard S.
2013-08-30
The primary purpose of this report is to describe the strategy for coupling three process level models to produce an integrated Used Fuel Degradation Model (FDM). The FDM, which is based on fundamental chemical and physical principals, provides direct calculation of radionuclide source terms for use in repository performance assessments. The G-value for H2O2 production (Gcond) to be used in the Mixed Potential Model (MPM) (H2O2 is the only radiolytic product presently included but others will be added as appropriate) needs to account for intermediate spur reactions. The effects of these intermediate reactions on [H2O2] are accounted for in the Radiolysis Model (RM). This report details methods for applying RM calculations that encompass the effects of these fast interactions on [H2O2] as the solution composition evolves during successive MPM iterations and then represent the steady-state [H2O2] in terms of an “effective instantaneous or conditional” generation value (Gcond). It is anticipated that the value of Gcond will change slowly as the reaction progresses through several iterations of the MPM as changes in the nature of fuel surface occur. The Gcond values will be calculated with the RM either after several iterations or when concentrations of key reactants reach threshold values determined from previous sensitivity runs. Sensitivity runs with RM indicate significant changes in G-value can occur over narrow composition ranges. The objective of the mixed potential model (MPM) is to calculate the used fuel degradation rates for a wide range of disposal environments to provide the source term radionuclide release rates for generic repository concepts. The fuel degradation rate is calculated for chemical and oxidative dissolution mechanisms using mixed potential theory to account for all relevant redox reactions at the fuel surface, including those involving oxidants produced by solution radiolysis and provided by the radiolysis model (RM). The RM calculates the concentration of species generated at any specific time and location from the surface of the fuel. Several options being considered for coupling the RM and MPM are described in the report. Different options have advantages and disadvantages based on the extent of coding that would be required and the ease of use of the final product.
Multiphase Flow Modeling of Biofuel Production Processes
D. Gaston; D. P. Guillen; J. Tester
2011-06-01
As part of the Idaho National Laboratory's (INL's) Secure Energy Initiative, the INL is performing research in areas that are vital to ensuring clean, secure energy supplies for the future. The INL Hybrid Energy Systems Testing (HYTEST) Laboratory is being established to develop and test hybrid energy systems with the principal objective to safeguard U.S. Energy Security by reducing dependence on foreign petroleum. HYTEST involves producing liquid fuels in a Hybrid Energy System (HES) by integrating carbon-based (i.e., bio-mass, oil-shale, etc.) with non-carbon based energy sources (i.e., wind energy, hydro, geothermal, nuclear, etc.). Advances in process development, control and modeling are the unifying vision for HES. This paper describes new modeling tools and methodologies to simulate advanced energy processes. Needs are emerging that require advanced computational modeling of multiphase reacting systems in the energy arena, driven by the 2007 Energy Independence and Security Act, which requires production of 36 billion gal/yr of biofuels by 2022, with 21 billion gal of this as advanced biofuels. Advanced biofuels derived from microalgal biomass have the potential to help achieve the 21 billion gal mandate, as well as reduce greenhouse gas emissions. Production of biofuels from microalgae is receiving considerable interest due to their potentially high oil yields (around 600 gal/acre). Microalgae have a high lipid content (up to 50%) and grow 10 to 100 times faster than terrestrial plants. The use of environmentally friendly alternatives to solvents and reagents commonly employed in reaction and phase separation processes is being explored. This is accomplished through the use of hydrothermal technologies, which are chemical and physical transformations in high-temperature (200-600 C), high-pressure (5-40 MPa) liquid or supercritical water. Figure 1 shows a simplified diagram of the production of biofuels from algae. Hydrothermal processing has significant advantages over other biomass processing methods with respect to separations. These 'green' alternatives employ a hybrid medium that, when operated supercritically, offers the prospect of tunable physicochemical properties. Solubility can be rapidly altered and phases partitioned selectively to precipitate or dissolve certain components by altering temperature or pressure in the near-critical region. The ability to tune the solvation properties of water in the highly compressible near-critical region facilitates partitioning of products or by-products into separate phases to separate and purify products. Since most challenges related to lipid extraction are associated with the industrial scale-up of integrated extraction systems, the new modeling capability offers the prospect of addressing previously untenable scaling issues.
Crawford, Ronald L; Paszczynski, Andrzej J
2010-02-19
Our goal within the overall project is to demonstrate the presence and abundance of methane monooxygenases (MMOs) enzymes and their genes within the microbial community of the Idaho National Laboratory (INL) Test Area North (TAN) site. MMOs are thought to be the primary catalysts of natural attenuation of trichloroethylene (TCE) in contaminated groundwater at this location. The actual presence of the proteins making up MMO complexes would provide direct evidence for its participation in TCE degradation. The quantitative estimation of MMO genes and their translation products (sMMO and pMMO proteins) and the knowledge about kinetics and substrate specificity of MMOs will be used to develop mathematical models of the natural attenuation process in the TAN aquifer. The model will be particularly useful in prediction of TCE degradation rate in TAN and possibly in the other DOE sites. Bacteria known as methanotrophs produce a set of proteins that assemble to form methane monooxygenase complexes (MMOs), enzymes that oxidize methane as their natural substrate, thereby providing a carbon and energy source for the organisms. MMOs are also capable of co-metabolically transforming chlorinated solvents like TCE into nontoxic end products such as carbon dioxide and chloride. There are two known forms of methane monooxygenase, a membrane-bound particulate form (pMMO) and a cytoplasmic soluble form (sMMO). pMMO consists of two components, pMMOH (a hydroxylase comprised of 47-, 27-, and 24-kDa subunits) and pMMOR (a reductase comprised of 63 and 8-kDa subunits). sMMO consists of three components: a hydroxylase (protein A-250 kDa), a dimer of three subunits (?2?2?2), a regulatory protein (protein B-15.8 kDa), and a reductase (protein C-38.6 kDa). All methanotrophs will produce a methanol dehydrogenase to channel the product of methane oxidation (methanol) into the central metabolite formaldehyde. University of Idaho (UI) efforts focused on proteomic analyses using mass spectrometry and genomic analyses using RT-PCR to characterize these enzyme systems. UI’s specific objectives were to develop the proteomics and genomic tools to assess the presence of the methane monooxygenase (MMO) proteins in the aquifers under study and relate this to the enumeration of methanotrophic microorganisms. We targeted the identification of both sMMO and pMMO. We believe that the copper level in the TAN aquifer is most likely suppressing the expression of sMMO and mediates the higher levels of pMMO expression. Hence our investigations included the identification of both forms of MMOs, and we expected a higher concentration of pMMO proteins in TAN samples. The amounts of these proteins present were correlated with numbers of methanotrophs determined by us and other members of the research team using PCR-based methods. In summary, to accomplish our objectives we applied environmental proteomics techniques to monitor proteins that are involved in the co-metabolic degradation of trichloroethylene (TCE) in groundwater of the INL TAN site on Department of Energy ands of near Idaho Falls, ID USA. To acquire peptides sequences information we used an ultra performance chromatography (UPLC) system coupled with QToF Premiere nano-electrospray tandem quadropole-time of flight mass spectrometer. Our goal was to identify signature peptides of methane monooxygenases (MMOs) within methanotrophic bacteria that are active in cometabolic degradation of TCE. We developed a new method for extracting total proteins from environmental planktonic and/or biofilm samples that involve a new time course cell lysis and protein extraction method in combination with chromatographic separation of peptide and tandem mass spectrometry sequencing. The techniques resulted in successful extraction and identification of MMO-based peptides from both pure cultures and TAN site samples. The work confirmed the importance of mathonotrophs in the co-metabolic removal of TCE from the TAN site aquifer.
Modeling of diffusion of injected electron spins in spin-orbit coupled microchannels
Zarbo, Liviu P.; Sinova, Jairo; Knezevic, I.; Wunderlich, J.; Jungwirth, T.
2010-01-01
in vacuum. This makes the SO coupling-based effects experimentally accessible and enables the use of SO coupling as a tool for purely electrical generation and manipulation of spins in devices.1?4 The prototype spintronic device using SO coupling as a...DEG chan- nel of an experimentally relevant spintronic model device which is schematically depicted in Fig. 1?a?. The typical de- vice is of a few micrometers in size and this is considerably larger than the Fermi wavelength in the 2DEG channel...
Coupled Weather and Wildfire Behavior Modeling at Los Alamos: An Overview
Bossert, James E.; Harlow, Francis H.; Linn, Rodman R.; Reisner, Jon M.; White, Andrew B.; Winterkamp, Judith L.
1997-12-31
Over the past two years, researchers at Los Alamos National Laboratory (LANL) have been engaged in coupled weather/wildfire modeling as part of a broader initiative to predict the unfolding of crisis events. Wildfire prediction was chosen for the following reasons: (1) few physics-based wild-fire prediction models presently exist; (2) LANL has expertise in the fields required to develop such a capability; and (3) the development of this predictive capability would be enhanced by LANL`s strength in high performance computing. Wildfire behavior models have historically been used to predict fire spread and heat release for a prescribed set of fuel, slope, and wind conditions (Andrews 1986). In the vicinity of a fire, however, atmospheric conditions are constantly changing due to non-local weather influences and the intense heat of the fire itself. This non- linear process underscores the need for physics-based models that treat the atmosphere-fire feedback. Actual wildfire prediction with full-physics models is both time-critical and computationally demanding, since it must include regional- to local-scale weather forecasting together with the capability to accurately simulate both intense gradients across a fireline, and atmosphere/fire/fuel interactions. Los Alamos has recently (January 1997) acquired a number of SGI/Cray Origin 2000 machines, each presently having 32 to 64 processors. These high performance computing systems are part of the Department of Energy`s Accelerated Strategic Computing Initiative (ASCI). While offering impressive performance now, upgrades to the system promise to deliver over 1 Teraflop (10(12) floating point operations per second) at peak performance before the turn of the century.
Measurement and modeling of transfer functions for lightning coupling into the Sago mine.
Morris, Marvin E.; Higgins, Matthew B.
2007-04-01
This report documents measurements and analytical modeling of electromagnetic transfer functions to quantify the ability of cloud-to-ground lightning strokes (including horizontal arc-channel components) to couple electromagnetic energy into the Sago mine located near Buckhannon, WV. Two coupling mechanisms were measured: direct and indirect drive. These transfer functions are then used to predict electric fields within the mine and induced voltages on conductors that were left abandoned in the sealed area of the Sago mine.
Statistics of Chaotic Impedance and Scattering Matrices: The Random Coupling Model
Anlage, Steven
Statistics of Chaotic Impedance and Scattering Matrices: The Random Coupling Model Xing Zheng a model to study the statistical properties of the impedance (Z) and scattering (S) matrices of open features which are specific to individual systems. Statistical properties of the cavity impedance Z
Coupling remote sensing with computational fluid dynamics modelling to estimate lake chlorophyll form 17 October 2000; accepted 1 June 2001 Abstract A remotely sensed image of Loch Leven, a shallow in the remotely sensed image. It is proposed that CFD modelling benefits the interpretation of remotely sensed
NUMERICAL COUPLING OF ELECTRIC CIRCUIT EQUATIONS AND ENERGY-TRANSPORT MODELS FOR SEMICONDUCTORS
Jüngel, Ansgar
NUMERICAL COUPLING OF ELECTRIC CIRCUIT EQUATIONS AND ENERGY-TRANSPORT MODELS FOR SEMICONDUCTORS effects is proposed. The charged particle flow in the semiconductor devices is described by the energy-transport equations for the electrons and the drift-diffusion equations for the holes. The electric circuit is modeled
Formalizing Concepts for Efficacy-aware Business Process Modeling
Ulm, Universität
Formalizing Concepts for Efficacy-aware Business Process Modeling Matthias Lohrmann and Manfred.lohrmann,manfred.reichert}@uni-ulm.de Abstract. In business process design, business objective models can ful- fill the role of formal business process management concepts yet. Moreover, process models are currently not sufficiently
Modeling Data for Business Processes Yutian Sun1
California at Santa Barbara, University of
Modeling Data for Business Processes Yutian Sun1 , Jianwen Su1 , Budan Wu, and Jian Yang2 omission in current development practice for business process (or workflow) management systems is modeling to modeling data for business processes: representing data used by a process as a hierarchically structured
Coupled thermodynamic-dynamic semi-analytical model of Free Piston Stirling engines
Formosa, Fabien
2013-01-01
The study of free piston Stirling engine (FPSE) requires both accurate thermodynamic and dynamic modelling to predict its performances. The steady state behaviour of the engine partly relies on non linear dissipative phenomena such as pressure drop loss within heat exchangers which is dependant on the temperature within the associated components. An analytical thermodynamic model which encompasses the effectiveness and the flaws of the heat exchangers and the regenerator has been previously developed and validated. A semi-analytical dynamic model of FPSE is developed and presented in this paper. The thermodynamic model is used to define the thermal variables that are used in the dynamic model which evaluates the kinematic results. Thus, a coupled iterative strategy has been used to perform a global simulation. The global modelling approach has been validated using the experimental data available from the NASA RE-1000 Stirling engine prototype. The resulting coupled thermodynamic-dynamic model using a standard...
Density-fitted singles and doubles coupled cluster on graphics processing units
Sherrill, David; Sumpter, Bobby G; DePrince, III, A. Eugene
2014-01-01
We adapt an algorithm for singles and doubles coupled cluster (CCSD) that uses density fitting (DF) or Cholesky decomposition (CD) in the construction and contraction of all electron repulsion integrals (ERI s) for use on heterogeneous compute nodes consisting of a multicore CPU and at least one graphics processing unit (GPU). The use of approximate 3-index ERI s ameliorates two of the major difficulties in designing scientific algorithms for GPU s: (i) the extremely limited global memory on the devices and (ii) the overhead associated with data motion across the PCI bus. For the benzene trimer described by an aug-cc-pVDZ basis set, the use of a single NVIDIA Tesla C2070 (Fermi) GPU accelerates a CD-CCSD computation by a factor of 2.1, relative to the multicore CPU-only algorithm that uses 6 highly efficient Intel core i7-3930K CPU cores. The use of two Fermis provides an acceleration of 2.89, which is comparable to that observed when using a single NVIDIA Kepler K20c GPU (2.73).
Wittenberg, Andrew
GFDL's ESM2 Global Coupled ClimateCarbon Earth System Models. Part I: Physical Formulation coupled carbonclimate Earth System Models, ESM2M and ESM2G, are described. These models demonstrate al. 2002; Delworth et al. 2006). Our approach has been to de- velop two Earth System Models
Using Coupled Harmonic Oscillators to Model Some Greenhouse Gas Molecules
Go, Clark Kendrick C.; Maquiling, Joel T.
2010-07-28
Common greenhouse gas molecules SF{sub 6}, NO{sub 2}, CH{sub 4}, and CO{sub 2} are modeled as harmonic oscillators whose potential and kinetic energies are derived. Using the Euler-Lagrange equation, their equations of motion are derived and their phase portraits are plotted. The authors use these data to attempt to explain the lifespan of these gases in the atmosphere.
Modeling of HCCI and PCCI Combustion Processes | Department of...
Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site
HCCI and PCCI Combustion Processes Modeling of HCCI and PCCI Combustion Processes 2005 Diesel Engine Emissions Reduction (DEER) Conference Presentations and Posters...
Modeling shear failure and permeability enhancement due to coupled
Office of Scientific and Technical Information (OSTI)
AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of NaturalDukeWakefieldSulfate Reducing(JournalspectroscopyReport)Fermentative Activity onConnect Modeling of ESD
Modeling shear failure and permeability enhancement due to coupled
Office of Scientific and Technical Information (OSTI)
AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of NaturalDukeWakefieldSulfate Reducing(JournalspectroscopyReport)Fermentative Activity onConnect Modeling of
New Model of Inflation with Non-minimal Derivative Coupling of Standard Model Higgs Boson to Gravity
Cristiano Germani; Alex Kehagias
2010-06-11
In this letter we show that there is a unique non-minimal derivative coupling of the Standard Model Higgs boson to gravity such that: it propagates no more degrees of freedom than General Relativity sourced by a scalar field, reproduces a successful inflating background within the Standard Model Higgs parameters and, finally, does not suffer from dangerous quantum corrections.
Shifts in ENSO coupling processes under global warming Sjoukje Philip1
Haak, Hein
state of the Pacific Ocean between the current climate and a high CO2 climate. Next, shifts in ENSO warming may shift the properties and dynamics of El Nin~o. We study the shifts in ENSO couplings in IPCC couplings between sea surface temperature (SST), thermocline depth and wind stress are discussed. Although
Simulation of the spin-boson model with superconducting phase qubit coupled to a transmission line
Long-Bao Yu; Ning-Hua Tong; Zheng-Yuan Xue; Z. D. Wang; Shi-Liang Zhu
2010-12-28
Based on the rapid experimental developments of circuit QED, we propose a feasible scheme to simulate a spin-boson model with the superconducting circuits, which can be used to detect quantum Kosterlitz-Thouless (KT) phase transition. We design the spin-boson model by using a superconducting phase qubit coupled with a semi-infinite transmission line, which is regarded as bosonic reservoir with a continuum spectrum. By tuning the bias current or the coupling capacitance, the quantum KT transition can be directly detected through tomography measurement on the states of the phase qubit. We also estimate the experimental parameters using numerical renormalization group method.
The cost of gauge coupling unification in the SU(5) model at three loops
L. Mihaila
2013-05-14
The non-supersymmetric SU(5) model can accommodate heavy neutrinos and gauge coupling unification when augmented with an adjoint fermionic multiplet 24_F. Among the most important phenomenological implications of the model is the prediction of light fermions and scalars, charged under the SU(2) gauge group, in the reach of the Large Hadron Collider (LHC). In this talk, we report on the recent calculation of the correlation function between the mass scale of the new electroweak multiplets and the gauge coupling unification scale at three loop accuracy.
TSPA Model Development and Sensitivity Analysis of Processes...
Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site
TSPA Model Development and Sensitivity Analysis of Processes Affecting Performance of a Salt Repository for Disposal of Heat-Generating Nuclear Waste TSPA Model Development and...
A New Coal-Permeability Model: Internal Swelling Stress and Fracture–Matrix Interaction
Liu, Hui-Hai; Rutqvist, Jonny
2010-01-01
processes in coal seams involving coupled liquid ?ow andfor coupled liquid ?ow A New Coal-Permeability Model and
Kim, Jihoon; Moridis, George
2013-05-22
We developed a hydraulic fracturing simulator by coupling a flow simulator to a geomechanics code, namely T+M simulator. Modeling of the vertical fracture development involves continuous updating of the boundary conditions and of the data connectivity, based on the finite element method for geomechanics. The T+M simulator can model the initial fracture development during the hydraulic fracturing operations, after which the domain description changes from single continuum to double or multiple continua in order to rigorously model both flow and geomechanics for fracture-rock matrix systems. The T+H simulator provides two-way coupling between fluid-heat flow and geomechanics, accounting for thermoporomechanics, treats nonlinear permeability and geomechanical moduli explicitly, and dynamically tracks changes in the fracture(s) and in the pore volume. We also fully accounts for leak-off in all directions during hydraulic fracturing. We first validate the T+M simulator, matching numerical solutions with the analytical solutions for poromechanical effects, static fractures, and fracture propagations. Then, from numerical simulation of various cases of the planar fracture propagation, shear failure can limit the vertical fracture propagation of tensile failure, because of leak-off into the reservoirs. Slow injection causes more leak-off, compared with fast injection, when the same amount of fluid is injected. Changes in initial total stress and contributions of shear effective stress to tensile failure can also affect formation of the fractured areas, and the geomechanical responses are still well-posed.
D. Shafer; M. Y oung; S. Zitzer; E. McDonald; T. Caldwell
2006-01-18
Monolayer evapotranspiration (ET) covers are the baseline method for closure of disposal sites for low-level radioactive waste (LLW), mixed LLW, and transuranic (TRU) waste at the Nevada Test Site (NTS). The regulatory timeline is typically 1,000 years for LLW and 10,000 years for TRU waste. Covers for such waste have different technical considerations than those with shorter timelines because they are subject to environmental change for longer periods of time, and because the environmental processes are often coupled. To evaluate these changes, four analog sites (approximately 30, 1,000 to 2,000, 7,000 to 12,500, and 125,000 years in age) on the NTS were analyzed to address the early post-institutional control period (the youngest site), the 1,000-year compliance period for disposal of LLW, and the 10,000-year period for TRU waste. Tests included soil texture, structure, and morphology; surface soil infiltration and hydraulic conductivity; vegetation and faunal surveys; and literature reviews. Separate measurements were made in plant undercanopy and intercanopy areas. The results showed a progressive increase in silt and clay content of surface soils with age. Changes in soil texture and structure led to a fivefold decline in saturated hydraulic conductivity in intercanopy areas, but no change in undercanopies, which were subject to bioturbation. These changes may have been responsible for the reduction in total plant cover, most dramatically in intercanopy areas, primarily because more precipitation either runs off the site or is held nearer to the surface where plant roots are less common. The results suggest that covers may evolve over longer timeframes to stable landforms that minimize the need for active maintenance.
Online Modeling in the Process Industry for Energy Optimization
Alexander, J.
1988-01-01
"This paper discusses how steady state models are being used in the process industry to perform online energy optimization of steam and electrical systems. It presents process demands commonly found in the processing industry in terms of steam...
Model Repair --Aligning Process Models to Reality Dirk Fahland, Wil M.P. van der Aalst
van der Aalst, Wil
discovery and (2) conformance checking. Process discovery techniques automatically construct a process model an existing process model does not conform to reality one could -- in principle -- use process discoveryModel Repair -- Aligning Process Models to Reality Dirk Fahland, Wil M.P. van der Aalst Eindhoven
Mukhopadhyay, Sumit; Sonnenthal, Eric L.; Spycher, Nicolas
2007-01-15
When hot radioactive waste is placed in subsurface tunnels, a series of complex changes occurs in the surrounding medium. The water in the pore space of the medium undergoes vaporization and boiling. Subsequently, vapor migrates out of the matrix pore space, moving away from the tunnel through the permeable fracture network. This migration is propelled by buoyancy, by the increased vapor pressure caused by heating and boiling, and through local convection. In cooler regions, the vapor condenses on fracture walls, where it drains through the fracture network. Slow imbibition of water thereafter leads to gradual rewetting of the rock matrix. These thermal and hydrological processes also bring about chemical changes in the medium. Amorphous silica precipitates from boiling and evaporation, and calcite from heating and CO2 volatilization. The precipitation of amorphous silica, and to a much lesser extent calcite, results in long-term permeability reduction. Evaporative concentration also results in the precipitation of gypsum (or anhydrite), halite, fluorite and other salts. These evaporative minerals eventually redissolve after the boiling period is over, however, their precipitation results in a significant temporary decrease in permeability. Reduction of permeability is also associated with changes in fracture capillary characteristics. In short, the coupled thermal-hydrological-chemical (THC) processes dynamically alter the hydrological properties of the rock. A model based on the TOUGHREACT reactive transport software is presented here to investigate the impact of THC processes on flow near an emplacement tunnel at Yucca Mountain, Nevada. We show how transient changes in hydrological properties caused by THC processes often lead to local flow channeling and saturation increases above the tunnel. For models that include only permeability changes to fractures, such local flow channeling may lead to seepage relative to models where THC effects are ignored. However, coupled THC seepage models that include both permeability and capillary changes to fractures may not show this additional seepage.
Causal Nets: A Modeling Language Tailored Towards Process Discovery
van der Aalst, Wil
Causal Nets: A Modeling Language Tailored Towards Process Discovery W.M.P. van der Aalst, A focusing on the interplay between event logs (observed behavior) and process models. Process discovery Eindhoven, The Netherlands. {W.M.P.v.d.Aalst,A.Adriansyah,B.F.v.Dongen}@tue.nl Abstract. Process discovery
Process Model Discovery: A Method Based on Transition System Decomposition
van der Aalst, Wil
Process Model Discovery: A Method Based on Transition System Decomposition Anna A. Kalenkova1 discovery algo- rithms deal with large data sets to learn automatically process models. As more event data by the unified process model. The proposed discovery algorithm is illustrated using a running example. 1
Efficient Discovery of Understandable Declarative Process Models from Event Logs
van der Aalst, Wil
Efficient Discovery of Understandable Declarative Process Models from Event Logs Fabrizio M. Maggi models are more suitable for less structured processes, most discovery techniques generate conventional) process discovery (learning a model from example traces in an event log), (b) confor- mance checking
Simplifying Mined Process Models: An Approach Based on Unfoldings
van der Aalst, Wil
information system. The discovery of process models from event logs is a relevant, but also chal- lenging to reproduce these traces. The automated discovery of process models based on event logs helps to jump problem of process discovery from event logs is to balance between over- fitting and underfitting. A model
Chemical Process Modeling in Modelica Ali Baharev Arnold Neumaier
Neumaier, Arnold
Chemical Process Modeling in Modelica Ali Baharev Arnold Neumaier Fakultät für Mathematik, Universität Wien Nordbergstraße 15, A-1090 Wien, Austria Abstract Chemical process models are highly for general-purpose chemical process modeling have been built. Multi- ple steady-states in ideal two
A Goal-Directed Modeling Technique towards Business Process
Perry, Dewayne E.
A Goal-Directed Modeling Technique towards Business Process Yuqun Zhang, Dewayne E. Perry Center--The modeling techniques for business process are mostly graphics-based, that is argued to be simplified when- plore the properties of the business processes under this modeling technique, we define a set of metrics
Capturing Variability in Business Process Models: The Provop Approach
Ulm, Universität
Capturing Variability in Business Process Models: The Provop Approach Alena Hallerbach1 , Thomas be transferred to cross-organizational business processes as well [4]. A business process model captures models there exists a multitude of tools like ARIS Business Architect [5], ADONIS [6], and Web
Paris-Sud XI, Université de
Hydro-Mechanical Coupling in Damaged Porous Media Containing Isolated Cracks or/and Vugs: Model In this paper we present the development of the macroscopic model describing the hydro-mechanical coupling) In this paper we present the macroscopic model describing the hydro-mechanical behaviour of such class
Coupled Oscillator Model of the Business Cycle with Fluctuating Goods Markets
Ikeda, Y; Fujiwara, Y; Iyetomi, H; Ogimoto, K; Souma, W; Yoshikawa, H
2011-01-01
The sectoral synchronization observed for the Japanese business cycle in the Indices of Industrial Production data is an example of synchronization. The stability of this synchronization under a shock, e.g., fluctuation of supply or demand, is a matter of interest in physics and economics. We consider an economic system made up of industry sectors and goods markets in order to analyze the sectoral synchronization observed for the Japanese business cycle. A coupled oscillator model that exhibits synchronization is developed based on the Kuramoto model with inertia by adding goods markets, and analytic solutions of the stationary state and the coupling strength are obtained. We simulate the effects on synchronization of a sectoral shock for systems with different price elasticities and the coupling strengths. Synchronization is reproduced as an equilibrium solution in a nearest neighbor graph. Analysis of the order parameters shows that the synchronization is stable for a finite elasticity, whereas the synchron...
Chimera states in networks of nonlocally coupled Hindmarsh-Rose neuron models
Johanne Hizanidis; Vasilis Kanas; Anastasios Bezerianos; Tassos Bountis
2013-07-20
We have identified the occurrence of chimera states for various coupling schemes in networks of two-dimensional and three-dimensional Hindmarsh-Rose oscillators, which represent realistic models of neuronal ensembles. This result, together with recent studies on multiple chimera states in nonlocally coupled FitzHugh-Nagumo oscillators, provide strong evidence that the phenomenon of chimeras may indeed be relevant in neuroscience applications. Moreover, our work verifies the existence of chimera states in coupled bistable elements, whereas to date chimeras were known to arise in models possessing a single stable limit cycle. Finally, we have identified an interesting class of mixed oscillatory states, in which desynchronized neurons are uniformly interspersed among the remaining ones that are either stationary or oscillate in synchronized motion.
A Coupled Modeling System to Simulate Water Resources in the Rio Grande Basin
Bossert, J.E.; Breshears, D.D.; Campbell, K.; Costigan, K.R.; Greene, R.K.; Keating, E.H.; Kleifgen, L.M.; Langley, D.L.; Martens, S.N.; Sanderson, J.G.; Springer, E.P.; Stalker, J.R.; Tartakovsky, D.M.; Winter, C.L.; Zyvoloski, G.A.
1999-01-11
Limited availability of fresh water in arid and semi-arid regions of the world requires prudent management strategies from accurate, science-based assessments. These assessments demand a thorough understanding of the hydrologic cycle over long time periods within the individual water-sheds that comprise large river basins. Measurement and simulation of the hydrologic cycle is a tremendous challenge, involving a coupling between global to regional-scale atmospheric precipitation processes with regional to local-scale land surface and subsurface water transport. Los Alamos National Laboratory is developing a detailed modeling system of the hydrologic cycle and applying this tool at high resolution to assess the water balance within the upper Rio Grande river basin. The Rio Grande is a prime example of a river system in a semiarid environment, with a high demand from agricultural, industrial, recreational, and municipal interests for its water supply. Within this river basin, groundwater supplies often augment surface water. With increasing growth projected throughout the river basin, however, these multiple water users have the potential to significantly deplete groundwater resources, thereby increasing the dependence on surface water resources.
Rutqvist, J.
2014-01-01
porosity models for fluid transport in jointed rock. Journalof coupled fluid flow, solute transport, and geomechanics ingeomechanics, fluid flow and transport in fractured rock
Radiative corrections to the Triple Higgs Coupling in the Inert Higgs Doublet Model
Arhrib, Abdesslam; Falaki, Jaouad El; Jueid, Adil
2015-01-01
We investigate the implication of the recent discovery of a Higgs-like particle in the first phase of the LHC Run 1 on the Inert Higgs Doublet Model (IHDM). The determination of the Higgs couplings to SM particles and its intrinsic properties will get improved during the new LHC Run 2 starting this year. The new LHC Run 2 would also shade some light on the triple Higgs coupling. Such measurement is very important in order to establish the details of the electroweak symmetry breaking mechanism. Given the importance of the Higgs couplings both at the LHC and $e^+e^-$ Linear Collider machines, accurate theoretical predictions are required. We study the radiative corrections to the triple Higgs coupling $hhh$ and to $hZZ$, $hWW$ couplings in the context of the IHDM. By combining several theoretical and experimental constraints on parameter space, we show that extra particles might modify the triple Higgs coupling near threshold regions. Finally, we discuss the effect of these corrections on the double Higgs produ...
Radiative corrections to the Triple Higgs Coupling in the Inert Higgs Doublet Model
Abdesslam Arhrib; Rachid Benbrik; Jaouad El Falaki; Adil Jueid
2015-07-13
We investigate the implication of the recent discovery of a Higgs-like particle in the first phase of the LHC Run 1 on the Inert Higgs Doublet Model (IHDM). The determination of the Higgs couplings to SM particles and its intrinsic properties will get improved during the new LHC Run 2 starting this year. The new LHC Run 2 would also shade some light on the triple Higgs coupling. Such measurement is very important in order to establish the details of the electroweak symmetry breaking mechanism. Given the importance of the Higgs couplings both at the LHC and $e^+e^-$ Linear Collider machines, accurate theoretical predictions are required. We study the radiative corrections to the triple Higgs coupling $hhh$ and to $hZZ$, $hWW$ couplings in the context of the IHDM. By combining several theoretical and experimental constraints on parameter space, we show that extra particles might modify the triple Higgs coupling near threshold regions. Finally, we discuss the effect of these corrections on the double Higgs production signal at the $e^+e^-$ LC and show that they can be rather important.
Proton Stability, Gauge Coupling Unification and a Light $Z^\\prime$ in Heterotic-string Models
Alon E. Faraggi; Viraf M. Mehta
2013-06-11
We explore the phenomenological viability of a light Z' in heterotic-string models, whose existence has been motivated by proton stability arguments. A class of quasi-realistic string models that produce such a viable Z' are the Left-Right Symmetric (LRS) heterotic-string models in the free fermionic formulation. A key feature of these models is that the matter charges under U(1)_Z' do not admit an E6 embedding. The light Z' in the LRS heterotic-string models forbids baryon number violating operators, while allowing lepton number violating operators, hence suppressing proton decay yet allowing for sufficiently small neutrino masses via a seesaw mechanism. We show that the constraints imposed by the gauge coupling data and heterotic-string coupling unification nullify the viability of a light Z' in these models. We further argue that agreement with the gauge coupling data necessitates that the U(1)_Z' charges admit an E6 embedding. We discuss how viable string models with this property may be constructed.
COUPLED HYDROMECHANICAL MODELING OF CO2 SEQUESTRATION IN DEEP SALINE AQUIFERS
Bolster, Diogo
1 COUPLED HYDROMECHANICAL MODELING OF CO2 SEQUESTRATION IN DEEP SALINE AQUIFERS VICTOR VILARRASA1,2 , DIOGO BOLSTER1 , SEBASTIA OLIVELLA1 , JESUS CARRERA2 1 Departmen of Geotechnical Engineering and Geosciences, Civil Engineering School, Technical University of Catalonia, GHS, UPC, 08034 Barcelona, Spain. 2
Maloney, Eric
Intraseasonal Eastern Pacific Precipitation and SST Variations in a GCM Coupled to a Slab Ocean-Schubert convection to a slab ocean model (SOM) improves the simulation of eastern Pacific convection during and ocean make eastern Pacific low-level circulation anomalies more complex in the SOM simulation than
Coupled fluid flow and geomechanical deformation modeling Susan E. Minkoff a,*, C. Mike Stoneb,1
Minkoff, Susan E.
Coupled fluid flow and geomechanical deformation modeling Susan E. Minkoff a,*, C. Mike Stoneb,1 reservoir properties. Pore pressures from flow are used as loads for the geomechanics code-505-844-9297. 2 Fax: +1-512-232-2445. www.elsevier.com/locate/jpetscieng Journal of Petroleum Science
Chu, Hao-hua
On Closed Task of Chinese Word Segmentation: An Improved CRF Model Coupled with Character,yabt,clsung,hongjie,hsu}@iis.sinica.edu.tw Abstract This paper addresses two major prob- lems in closed task of Chinese word segmentation (CWS): tagging sentences interspersed with non-Chinese words, and long named entity (NE) identifica- tion
Coupling control and human factors in mathematical models of complex systems
Melnik, Roderick
Coupling control and human factors in mathematical models of complex systems Roderick V.N. Melnik Ã that in the analysis and control of such systems, human factors should not be eliminated by conventional formal transportation systems (ITS) theory and practice, the problem of speed control, considered here as a decision
Rayleigh WaveInternal Wave Coupling and Internal Wave Generation Above a Model Jet Stream
Sutherland, Bruce
Rayleigh WaveInternal Wave Coupling and Internal Wave Generation Above a Model Jet Stream B. R to the study of unstable jet flows and applications of this work for internal wave generation by dynamic remains poorly understood. Most investigations of sheargeneration of inter nal waves in the atmosphere
Rayleigh Wave-Internal Wave Coupling and Internal Wave Generation Above a Model Jet Stream
Sutherland, Bruce
Rayleigh Wave-Internal Wave Coupling and Internal Wave Generation Above a Model Jet Stream B. R to the study of unstable jet flows and applications of this work for internal wave generation by dynamic remains poorly understood. Most investigations of shear-generation of inter- nal waves in the atmosphere
Peirce, Anthony
Coupling schemes for modeling hydraulic fracture propagation using the XFEM Elizaveta Gordeliy August 2012 Accepted 18 August 2012 Available online 15 September 2012 Keywords: XFEM Hydraulic fractures and the Dirichlet to Neumann (DN) map with OðhÞ accuracy. For hydraulic fracture problems with a lag separating
The Effect of the Galpagos Islands on ENSO in Forced Ocean and Hybrid Coupled Models
Karnauskas, Kristopher
The Effect of the Galápagos Islands on ENSO in Forced Ocean and Hybrid Coupled Models KRISTOPHER B. KARNAUSKAS, RAGHU MURTUGUDDE, AND ANTONIO J. BUSALACCHI Earth System Science Interdisciplinary Center perturbation. Mixed layer heat budget calculations implicate the entrainment mixing term, which confirms
A coupled model study of the remote influence of enso on tropical Atlantic sst variability
Fang, Yue
2006-08-16
To investigate the tropical Atlantic response to the remote El Nino-Southern Oscillation (ENSO) forcing, a Reduced Physics Â? Coupled Global Circulation Model (RP-CGCM) is developed, and four experiments are carried out. The results show that the RP...
An energy-diagnostics intercomparison of coupled ice-ocean Arctic models
Zhang, Jinlun
An energy-diagnostics intercomparison of coupled ice-ocean Arctic models Petteri Uotila a,*, David Institute, Bremerhaven, Germany g Institute of Numerical Mathematics Russian Academy of Science, Moscow, potential and available potential energies, energy conversion and forcing rates are studied. The energy
N. Itagaki; H. Matsuno; T. Suhara
2015-07-09
The antisymmetrized quasi-cluster model (AQCM) is a method to describe a transition from the alpha-cluster wave function to the jj-coupling shell model wave function. In this model, the cluster-shell transition is characterized by only two parameters; R representing the distance between alpha clusters and Lambda describing the breaking of alpha clusters, and the contribution of the spin-orbit interaction, very important in the jj-coupling shell model, can be taken into account starting with the alpha cluster model wave function. In this article we show the generality of AQCM by extending the application to heavier region; various 4N nuclei from 4He to 52Fe. We show and compare the energy curves for the alpha+40Ca cluster configuration calculated with and without alpha breaking effect in 44Ti.
Phase synchronization of coupled bursting neurons and the generalized Kuramoto model
Fabiano A. S. Ferrari; Ricardo L. Viana; Sérgio R. Lopes; Ruedi Stoop
2015-02-13
Bursting neurons fire rapid sequences of action potential spikes followed by a quiescent period. The basic dynamical mechanism of bursting is the slow currents that modulate a fast spiking activity caused by rapid ionic currents. Minimal models of bursting neurons must include both effects. We considered one of these models and its relation with a generalized Kuramoto model, thanks to the definition of a geometrical phase for bursting and a corresponding frequency. We considered neuronal networks with different connection topologies and investigated the transition from a non-synchronized to a partially phase-synchronized state as the coupling strength is varied. The numerically determined critical coupling strength value for this transition to occur is compared with theoretical results valid for the generalized Kuramoto model.
Jonkman, J. M.; Sclavounos, P. D.
2006-01-01
Aeroelastic simulation tools are routinely used to design and analyze onshore wind turbines, in order to obtain cost effective machines that achieve favorable performance while maintaining structural integrity. These tools employ sophisticated models of wind-inflow; aerodynamic, gravitational, and inertial loading of the rotor, nacelle, and tower; elastic effects within and between components; and mechanical actuation and electrical responses of the generator and of control and protection systems. For offshore wind turbines, additional models of the hydrodynamic loading in regular and irregular seas, the dynamic coupling between the support platform motions and wind turbine motions, and the dynamic characterization of mooring systems for compliant floating platforms are also important. Hydrodynamic loading includes contributions from hydrostatics, wave radiation, and wave scattering, including free surface memory effects. The integration of all of these models into comprehensive simulation tools, capable of modeling the fully coupled aeroelastic and hydrodynamic responses of floating offshore wind turbines, is presented.
Dynamical Coupled-Channel Model of Meson Production Reactions in the Nucleon Resonance Region
T.-S. H. Lee; A. Matsuyama; T. Sato
2006-11-15
A dynamical coupled-channel model is presented for investigating the nucleon resonances (N*) in the meson production reactions induced by pions and photons. Our objective is to extract the N* parameters and to investigate the meson production reaction mechanisms for mapping out the quark-gluon substructure of N* from the data. The model is based on an energy-independent Hamiltonian which is derived from a set of Lagrangians by using a unitary transformation method.
A turbulent transport network model in MULTIFLUX coupled with TOUGH2
Danko, G.
2012-01-01
flux in superheated steam form P v -partial vapor pressure Ps -saturated vapor pressure P b -barometric pressuretemperature and partial vapor-pressure driven process model
Zhuang, Qianlai
gradients, and due to variations in methane production and oxidation due to complex freezing and thawing] Methane (CH4), a greenhouse gas, has a much larger radiative forcing potential than CO2, andModeling methane emissions from the Alaskan Yukon River basin, 19862005, by coupling a large
Two way coupling RAM-SCB to the space weather modeling framework
Welling, Daniel T [Los Alamos National Laboratory; Jordanova, Vania K [Los Alamos National Laboratory; Zaharia, Sorin G [Los Alamos National Laboratory; Toth, Gabor [UNIV OF MICHIGAN
2010-12-03
The Ring current Atmosphere interaction Model with Self-Consistently calculated 3D Magnetic field (RAM-SCB) has been used to successfully study inner magnetosphere dynamics during different solar wind and magnetosphere conditions. Recently, one way coupling of RAM-SCB with the Space Weather Modeling Framework (SWMF) has been achieved to replace all data or empirical inputs with those obtained through first-principles-based codes: magnetic field and plasma flux outer boundary conditions are provided by the Block Adaptive Tree Solar wind Roe-type Upwind Scheme (BATS-R-US) MHO code, convection electric field is provided by the Ridley Ionosphere Model (RIM), and ion composition is provided by the Polar Wind Outflow Model (PWOM) combined with a multi-species MHO approach. These advances, though creating a powerful inner magnetosphere virtual laboratory, neglect the important mechanisms through which the ring current feeds back into the whole system, primarily the stretching of the magnetic field lines and shielding of the convection electric field through strong region two Field Aligned Currents (FACs). In turn, changing the magnetosphere in this way changes the evolution of the ring current. To address this shortcoming, the coupling has been expanded to include feedback from RAM-SCB to the other coupled codes: region two FACs are returned to the RIM while total plasma pressure is used to nudge the MHO solution towards the RAMSCB values. The impacts of the two way coupling are evaluated on three levels: the global magnetospheric level, focusing on the impact on the ionosphere and the shape of the magnetosphere, the regional level, examining the impact on the development of the ring current in terms of energy density, anisotropy, and plasma distribution, and the local level to compare the new results to in-situ measurements of magnetic and electric field and plasma. The results will also be compared to past simulations using the one way coupling and no coupling whatsoever. This work is the first to fully couple an anisotropic kinetic ring current code with a selfconsistently calculated magnetic field to a set of global models.
MODEL-BASED OPTIMAL OPERATION OF SEEDED BATCH CRYSTALLISATION PROCESSES
Van den Hof, Paul
.mesbah@tudelft.nl Dynamic optimization is applied for optimal control of a semi-industrial batch crystallisation process of the open-loop optimal control due to plant-model mismatch, unmeasured process disturbances, irreproducibleMODEL-BASED OPTIMAL OPERATION OF SEEDED BATCH CRYSTALLISATION PROCESSES A. Mesbah1, 2 , J. Landlust
What can computational models tell us about face processing?
Cottrell, Garrison W.
What can computational models tell us about face processing? Garrison W. Cottrell Gary about face processing? Garrison W. Cottrell Gary's Unbelievable Research Unit (GURU) Computer Science, Lingyun Zhang What can computational models tell us about face processing? Garrison W. Cottrell Gary
Sensitivity of Optimal Operation of an Activated Sludge Process Model
Skogestad, Sigurd
Sensitivity of Optimal Operation of an Activated Sludge Process Model Antonio Araujo, Simone sensitivity analysis of optimal operation conducted on an activated sludge process model based on the test.[7] applied a systematic procedure for control structure design of an activated sludge process
Santoso, Agus
Circumpolar Deep Water Circulation and Variability in a Coupled Climate Model AGUS SANTOSO Deep Water (CDW) is analyzed using a long-term integration of a coupled climate model. The variability into the Southern Ocean via North Atlantic Deep Water (NADW). Salinity dipole anomalies appear to propagate around
Kowalsky, Mike [Lawrence Berkeley National Laboratory (LBNL); Gasperikova, E. [Lawrence Berkeley National Laboratory (LBNL); Finsterle, S. [Lawrence Berkeley National Laboratory (LBNL); Watson, David B [ORNL; Baker, Gregory S. [University of Tennessee, Knoxville (UTK); Hubbard, Susan S [Lawrence Berkeley National Laboratory (LBNL)
2011-01-01
The application of geophysical methods, in particular, electrical resistivity measurements, may be useful for monitoring subsurface contamination. However, interpreting geophysical data without additional data and without considering the associated hydrogeochemical processes is challenging since the geophysical response is sensitive to not only heterogeneity in rock properties but also to the saturation and chemical composition of pore fluids. We present an inverse modeling framework that incorporates the simulation of hydrogeochemical processes and time-lapse electrical resistivity data and apply it to various borehole and cross-borehole data sets collected in 2008 near the S-3 Ponds at the U.S. Department of Energy's Oak Ridge Integrated Field Research Challenge site, where efforts are underway to better understand freshwater recharge and associated contaminant dilution. Our goal is to show that the coupled hydrogeochemical-geophysical modeling framework can be used to (1) develop a model that honors all the available data sets, (2) help understand the response of the geophysical data to subsurface properties and processes at the site, and (3) allow for the estimation of petrophysical parameters needed for interpreting the geophysical data. We present a series of cases involving different data sets and increasingly complex models and find that the approach provides useful information about soil properties, recharge-related transport processes, and the geophysical response. Spatial heterogeneity of the petrophysical model can be described sufficiently with two layers, and its parameters can be estimated concurrently with the hydrogeochemical parameters. For successful application of the approach, the parameters of interest must be sensitive to the available data, and the experimental conditions must be carefully modeled.
Modeling of thermally driven hydrological processes in partially saturated fractured rock
Tsang, Yvonne; Birkholzer, Jens; Mukhopadhyay, Sumit
2009-03-15
This paper is a review of the research that led to an in-depth understanding of flow and transport processes under strong heat stimulation in fractured, porous rock. It first describes the anticipated multiple processes that come into play in a partially saturated, fractured porous volcanic tuff geological formation, when it is subject to a heat source such as that originating from the decay of radionuclides. The rationale is then given for numerical modeling being a key element in the study of multiple processes that are coupled. The paper outlines how the conceptualization and the numerical modeling of the problem evolved, progressing from the simplified to the more realistic. Examples of numerical models are presented so as to illustrate the advancement and maturation of the research over the last two decades. The most recent model applied to in situ field thermal tests is characterized by (1) incorporation of a full set of thermal-hydrological processes into a numerical simulator, (2) realistic representation of the field test geometry, in three dimensions, and (3) use of site-specific characterization data for model inputs. Model predictions were carried out prior to initiation of data collection, and the model results were compared to diverse sets of measurements. The approach of close integration between modeling and field measurements has yielded a better understanding of how coupled thermal hydrological processes produce redistribution of moisture within the rock, which affects local permeability values and subsequently the flow of liquid and gases. The fluid flow in turn will change the temperature field. We end with a note on future research opportunities, specifically those incorporating chemical, mechanical, and microbiological factors into the study of thermal and hydrological processes.
Model-based Prognostics with Concurrent Damage Progression Processes
Daigle, Matthew
and wear processes contribute to the overall component degradation. We develop a model- based prognostics-based model of a centrifugal pump that includes damage progression models, to which we apply our model Terms--model-based prognostics, particle filters, vari- ance control, centrifugal pumps I. INTRODUCTION
Model-Driven Business Process Recovery , Terence C. Lau2
Zou, Ying
Model-Driven Business Process Recovery Ying Zou1 , Terence C. Lau2 , Kostas Kontogiannis3 , Tack. In this paper, we propose a model-driven business process recovery framework that captures the essential-to-date linkage between business tasks and their implementation in source code, we propose a model-driven business
ARM Processes and Their Modeling and Forecasting Methodology Benjamin Melamed
Chapter 73 ARM Processes and Their Modeling and Forecasting Methodology Benjamin Melamed Abstract The class of ARM (Autoregressive Modular) processes is a class of stochastic processes, defined by a non- linear autoregressive scheme with modulo-1 reduction and additional transformations. ARM processes
Automated Validation and Verification of Process Models Darren C. Atkinson
Noll, John
In process programming, processes are modeled as pieces of software, and a process programming language, implementation, and maintenance of software processes [2]. One of the outgrowths of this line of research that resemble, and in some cases are derived from, conventional programming languages [3]. One advantage
Multiscale optimization models for powerintensive processes
Grossmann, Ignacio E.
[*] Operational flexibility for chemical processes in the spirit of 1. Swaney, R.E., and Grossmann, I.E. An Index in Chemical Processes. Comp. Chem. Eng., 11:675, 1987. Operational costs (annualized) Investment costs Separation Plant * Demand Side Management (DSM) consists of Demand Response (DR) and Energy Efficiency (EE
Modeling and analysis of dual hydroforming process
Jain, Nishant
2004-09-30
Effect of Strain Hardening Exponent, n................................ 69 Effect of Anisotropy, r .......................................................... 71 Effect of Friction... of Friction on Dual Hydroforming Process ..................................... 75 5-6 Effect of Different Materials on Dual Hydroforming Process................... 77 xi LIST OF TABLES TABLE Page 2-1 Material Properties for Copper...
PI CONTROLLERS PERFORMANCES FOR A PROCESS MODEL WITH VARYING DELAY
the obtained performances on a simplified hy- drodesulfurization process model we use as test case. 2 PI by a relay feedback as shown in [1]. Ziegler and Nichols then studied on a simple real process
Implementing a New Data Model for Simulating Processes
Reitsma, Femke; Albrecht, Jochen
2006-01-01
The paper describes the development of a new methodological approach for simulating geographic processes through the development of a data model that represents a process. This methodology complements existing approaches ...
A. Besser; U. S. Schwarz
2007-10-24
Biochemistry and mechanics are closely coupled in cell adhesion. At sites of cell-matrix adhesion, mechanical force triggers signaling through the Rho-pathway, which leads to structural reinforcement and increased contractility in the actin cytoskeleton. The resulting force acts back to the sites of adhesion, resulting in a positive feedback loop for mature adhesion. Here we model this biochemical-mechanical feedback loop for the special case when the actin cytoskeleton is organized in stress fibers, which are contractile bundles of actin filaments. Activation of myosin II molecular motors through the Rho-pathway is described by a system of reaction-diffusion equations, which are coupled into a viscoelastic model for a contractile actin bundle. We find strong spatial gradients in the activation of contractility and in the corresponding deformation pattern of the stress fiber, in good agreement with experimental findings.
Fundamental kinetic modeling of the catalytic reforming process
Sotelo-Boyas, Rogelio
2007-04-25
model are the reduction of aromatics, mainly benzene. The results from the simulations agree with the typical performance found in the industrial process....
Continuous Evaluation of Fast Processes in Climate Models Using...
Office of Scientific and Technical Information (OSTI)
Technical Report: Continuous Evaluation of Fast Processes in Climate Models Using Arm Measurements Citation Details In-Document Search Title: Continuous Evaluation of Fast...
Fluid-particle flow modelling and validation using two-way-coupled mesoscale SPH-DEM
Robinson, Martin; Ramaioli, Marco
2013-01-01
We present a meshless simulation method for multiphase fluid-particle flows coupling Smoothed Particle Hydrodynamics (SPH) and the Discrete Element Method (DEM). Rather than fully resolving the interstitial fluid, which is often infeasible, the unresolved fluid model is based on the locally averaged Navier Stokes equations, which are coupled with a DEM model for the solid phase. In contrast to similar mesh-based Discrete Particle Methods (DPMs), this is a purely particle-based method and enjoys the flexibility that comes from the lack of a prescribed mesh. It is suitable for problems such as free surface flow or flow around complex, moving and/or intermeshed geometries. It can be used for both one and two-way coupling and is applicable to both dilute and dense particle flows. A comprehensive validation procedure for fluid-particle simulations is presented and applied to the SPH-DEM method, using simulations of single and multiple particle sedimentation in a 3D fluid column and comparison with analytical model...
AMFIBIA: A Meta-Model for the Integration of Business Process Modelling Aspects
Kindler, Ekkart
AMFIBIA: A Meta-Model for the Integration of Business Process Modelling Aspects Bj¨orn Axenath that formalizes the essential as- pects and concepts of business process modelling. Though AMFIBIA is not the first approach to formalizing the aspects and concepts of busi- ness process modelling, it is more
Economic Model Predictive Control of Nonlinear Process Systems Using Empirical Models
ALANQAR, ANAS WAEL
2015-01-01
4 Application to a Chemical Process Example 5 Conclusionsnonlinear processes. Chemical Engineering Science 2003, 58,based on Wiener models. Chemical Engineering Science 1998,
The Trend towards Statistical Models in Natural Language Processing
Pennsylvania, University of
a "language model," or (again from usage in communications theory) a "source model." In this applicationThe Trend towards Statistical Models in Natural Language Processing Mark Y. Liberman Department acquisition, and statistical models for applica- tion in speech recognizers, text or speech compression
Modelling the dip coating process for hot metal castings
McGuinness, Mark
Modelling the dip coating process for hot metal castings Mark J. McGuinness #3; A.J. Roberts y #12; List of Figures 2 6 Modelling Coating Growth 17 6.1 Simple Conduction Model . . . . . . . . . . . . . . 23 6.3 Linear Temperature Model . . . . . . . . . . . . . . . . . . . 23 7 Estimates of Coating
Language Models Introduction to Natural Language Processing
Smith, David A.
Â· Markov assumptions: bigrams, trigrams,... Â· Generating text from an n-gram model Â· This time Â· More in decoding A, and vice versa. 5 #12;AnotherView of Markov Models p(w1, w2, . . . , wn) = p(w1)p(w2 | w1)p(w3 | w1, w2) p(w4 | w1, w2, w3) Â· Â· Â· p(wn | p1, . . . , pn-1) 6 #12;AnotherView of Markov Models p(w1, w
Coupling traffic models on networks and urban dispersion models for simulating sustainable
Ceragioli, Francesca
models for modeling and testing different traffic scenarios, in order to define the impact on air quality it with the urban dispersion model Sirane. Keywords: urban air quality, macroscopic traffic models, road networks, pollutant dispersion models, traffic emissions control. AMS subject classification: 35L65, 35L67, 60K30, 90B
Automated Drill Modeling for Drilling Process Simulation
Vijayaraghavan, Athulan; Dornfeld, David
2006-01-01
formats, respectively. The drills were then meshed using theFigure 7. FIGURE 5: GUI FOR DRILL MODELER. REFERENCES Choi,M. (1970a), “An Analysis of Drill Geometry for Optimum Drill
An explication of the reactance processing model
Quick, Brian Lee
2005-11-01
Model (RPM). Specifically, the RPM conceptualizes reactance as a motivational state, investigates the degree of reactance arousal elicited by threat-tochoice, vivid, and explicit language (along with an additive effect of the aforementioned message...
Modeling the Emission Processes in Blazars
Markus Boettcher
2006-08-31
Blazars are the most violent steady/recurrent sources of high-energy gamma-ray emission in the known Universe. They are prominent emitters of electromagnetic radiation throughout the entire electromagnetic spectrum. The observable radiation most likely originates in a relativistic jet oriented at a small angle with respect to the line of sight. This review starts out with a general overview of the phenomenology of blazars, including results from a recent multiwavelength observing campaign on 3C279. Subsequently, issues of modeling broadband spectra will be discussed. Spectral information alone is not sufficient to distinguish between competing models and to constrain essential parameters, in particular related to the primary particle acceleration and radiation mechanisms in the jet. Short-term spectral variability information may help to break such model degeneracies, which will require snap-shot spectral information on intraday time scales, which may soon be achievable for many blazars even in the gamma-ray regime with the upcoming GLAST mission and current advances in Atmospheric Cherenkov Telescope technology. In addition to pure leptonic and hadronic models of gamma-ray emission from blazars, leptonic/hadronic hybrid models are reviewed, and the recently developed hadronic synchrotron mirror model for TeV gamma-ray flares which are not accompanied by simultaneous X-ray flares (``orphan TeV flares'') is revisited.
Computer modeling of the spallation process
Walker, Wayne Claire
1978-01-01
that classically the particle hitting the nucleus is ab- sorbed, thon the cross section for the roverse process becomes c(EA, e) = ao(l ? V/c) for c & V (63) 0 fore &V where uo = sr and V = zz, e /r. The Coulomb field is expressed in terms of. the charge, ze...
A mathematical model for coupling within-host and between-host ...
Zhilan Feng
2012-12-03
associated with the disease transmission, and the other is the immunological process at the individual host level. Viral dynamic models (e.g., [1,3,7,11]) consider ...
Author's personal copy Fuzzy modelling of the composting process
Author's personal copy Fuzzy modelling of the composting process E. Giusti, S. Marsili May 2009 Available online 18 June 2009 Keywords: Composting Fuzzy models Fuzzy identification Fuzzy clustering a b s t r a c t Composting is a solid waste treatment process consisting of the biochemical
Positivity of Lyapunov exponents for Anderson-type models on two coupled strings
Hakim Boumaza; Günter Stolz
2006-11-01
We study two models of Anderson-type random operators on two deterministically coupled continuous strings. Each model is associated with independent, identically distributed four-by-four symplectic transfer matrices, which describe the asymptotics of solutions. In each case we use a criterion by Gol'dsheid and Margulis (i.e. Zariski denseness of the group generated by the transfer matrices in the group of symplectic matrices) to prove positivity of both leading Lyapunov exponents for most energies. In each case this implies almost sure absence of absolutely continuous spectrum (at all energies in the first model and for sufficiently large energies in the second model). The methods used allow for singularly distributed random parameters, including Bernoulli distributions.
Stability of the Zagreb realization of the Carnegie-Mellon-Berkeley coupled-channels unitary model
Osmanovic, H.; Hadzimehmedovic, M.; Stahov, J.; Ceci, S.; Svarc, A.
2011-09-15
In Hadzimehmedovicet al.[Phys. Rev. C 84, 035204 (2011)] we have used the Zagreb realization of Carnegie-Melon-Berkeley coupled-channel, unitary model as a tool for extracting pole positions from the world collection of partial-wave data, with the aim of eliminating model dependence in pole-search procedures. In order that the method is sensible, we in this paper discuss the stability of the method with respect to the strong variation of different model ingredients. We show that the Zagreb CMB procedure is very stable with strong variation of the model assumptions and that it can reliably predict the pole positions of the fitted partial-wave amplitudes.
Astrophysical Models of r-Process Nucleosynthesis: An Update
Yong-Zhong Qian
2012-01-24
An update on astrophysical models for nucleosynthesis via rapid neutron capture, the r process, is given. A neutrino-induced r process in supernova helium shells may have operated up to metallicities of ~10^-3 times the solar value. Another r-process source, possibly neutron star mergers, is required for higher metallicities.
Methodology Modelling: Combining Software Processes with Software Products \\Lambda
Han, Jun
of software processes in improving the quality of software products has been widely recognised for some time processes and software products is a major factor in improving soft ware quality. 2. Finegrained, nonMethodology Modelling: Combining Software Processes with Software Products \\Lambda Jun Han and Jim
Astrophysical models of r-process nucleosynthesis: An update
Qian Yongzhong [School of Physics and Astronomy, University of Minnesota, Minneapolis, MN 55455 (United States)
2012-11-12
An update on astrophysical models for nucleosynthesis via rapid neutron capture, the r process, is given. A neutrino-induced r process in supernova helium shells may have operated up to metallicities of {approx} 10{sup -3} times the solar value. Another r-process source, possibly neutron star mergers, is required for higher metallicities.
Hammes-Schiffer, Sharon
Model Proton-Coupled Electron Transfer Reactions in Solution: Predictions of Rates, Mechanisms isotope effects for proton-coupled electron transfer (PCET) reactions. These studies are based, the solvent is represented as a dielectric continuum, and the active electrons and transferring protons
Collett Jr., Jeffrey L.
A multiple-scale simulation of variations in atmospheric carbon dioxide using a coupled biosphere, carbon dioxide, biosphere, regional-scale modeling, missing sink, carbon dioxide fluxes Citation), A multiple-scale simulation of variations in atmospheric carbon dioxide using a coupled biosphere
Shepelyansky, Dima
Disordered Hubbard model with attraction: The coupling energy of Cooper pairs in small clusters of disorder. We show that the Cooper pair energy is strongly enhanced by disorder, which at the same time us to determine the depen- dence of the Cooper pair coupling energy on the strength of disorder
Modeling of magnetically enhanced capacitively coupled plasma sources: ArC4F8 O2 discharges
Kushner, Mark
Modeling of magnetically enhanced capacitively coupled plasma sources: ArÕC4F8 ÕO2 discharges Alex Magnetically enhanced, capacitively coupled radio frequency plasma sources are finding continued use increase the plasma density at a given pressure or to lower the operating pressure. The use of MERIEs
Gerber, Edwin
Heat and freshwater exchange on the Antarctic continental1" shelf in a regional coupled climate, South Korea 120-749. Email:21" cyoo@cims.nyu.edu.22" #12;2" Abstract23" Understanding heat. This study analyzes the heat and freshwater budget using a regional25" coupled climate model, which has been
Modeling the Emission Processes in Blazars
Böttcher, M
2006-01-01
Blazars are the most violent steady/recurrent sources of high-energy gamma-ray emission in the known Universe. They are prominent emitters of electromagnetic radiation throughout the entire electromagnetic spectrum. The observable radiation most likely originates in a relativistic jet oriented at a small angle with respect to the line of sight. This review starts out with a general overview of the phenomenology of blazars, including results from a recent multiwavelength observing campaign on 3C279. Subsequently, issues of modeling broadband spectra will be discussed. Spectral information alone is not sufficient to distinguish between competing models and to constrain essential parameters, in particular related to the primary particle acceleration and radiation mechanisms in the jet. Short-term spectral variability information may help to break such model degeneracies, which will require snap-shot spectral information on intraday time scales, which may soon be achievable for many blazars even in the gamma-ray ...
The development of a cognitive process-oriented correlation model
Kneuven, Richard James
1988-01-01
Chair of Advisory Committee: Dr. Patricia A. Alexander This study was undertaken to discover what underlying cognitive processes could provide a basis for a cognitive process-oriented correlation model and to examine how this cognitive information... examined interpretations of information-processing as articulated by selected cognitive theorists, assorted approaches to interdisciplinary instruction, as well as various approaches to curriculum design. Ultimately, a curricular model was developed...
MODELLING OF COMPLEX SIGNALS USING GAUSSIAN PROCESSES
Tobar, Felipe; Turner, Richard E.
2015-01-01
Gaussian process, where finite collections of function values follow a multivariate complex Gaussian density [15]. Since the algebraic topology of the com- plex field is identical to that of the real filed, except for the con- jugate/Hermitian operator, all... of circular (top plots) and noncircular (bottom plots) data. Training samples (crosses), validation samples (circles), and GP predicted mean (red) and two-standard-deviation interval (light red). 5.2. A Circular Predictor We next trained circular GPs, that is...
Process-based modeling of the aeloian environment at the dune scale
Stam, J.M.T. (IGG-TNO, Delft (Netherlands))
1993-09-01
Process-based models are quantitative models that simulate the physical process of sedimentation with the objective of reconstructing the spatial distribution, stratification, and properties of the subsurface. In this study, a two-dimensional, process-based model of the aeolian environment, at the dune-interdune scale, has been developed. Sedimentation is governed by the variation of wind velocity over the topography, which is calculated analytically. Velocity calculations are coupled to a sediment transport equation, to determine where erosion and deposition occur. The resulting change in topography determines a new velocity field, which is then calculated. Features that the model simulates include ripple formation and dune migration, as well as the resulting internal sedimentary structures. Process-based models can be used as tool to help interpret structures in ancient formations. This model has been applied specifically to reconstruct dune-interdune sequences observed in cores from the Rotliegendes, localized in the southern Permian basin (North Sea). The interdune strata are characterized by a low permeability. A flow simulation has been done on the aeolian section generated by the model, showing the effect of these heterogeneities on fluid flow.
Gupta, Shubhangi; Haeckel, Matthias; Helmig, Rainer; Wohlmuth, Barbara
2015-01-01
The presence of gas hydrates influences the stress-strain behavior and increases the load-bearing capacity of sub-marine sediments. This stability is reduced or completely lost when gas hydrates become unstable. Since natural gas hydrate reservoirs are considered as potential resources for gas production on industrial scales, there is a strong need for numerical production simulators with geomechanical capabilities. To reliably predict the mechanical behavior of gas hydrate-bearing sediments during gas production, numerical tools must be sufficiently calibrated against data from controlled experiments or field tests, and the models must consider thermo-hydro-chemo-mechanical process coupling in a suitable manner. In this study, we perform a controlled triaxial volumetric strain test on a sediment sample in which methane hydrate is first formed under controlled isotropic effective stress and then dissociated via depressurization under controlled total stress. Sample deformations were kept small, and under thes...
Study of decoherence in models for hard-core bosons coupled to optical phonons
A. Dey; M. Q. Lone; S. Yarlagadda
2014-12-18
Understanding coherent dynamics of excitons, spins, or hard-core bosons (HCBs) has tremendous scientific and technological implications for light harvesting and quantum computation. Here, we study decay of excited-state population and decoherence in two models for HCBs, namely: an infinite-range HCB model governed by Markovian dynamics and a two-site HCB model with site-dependent strong potentials and subject to non-Markovian dynamics. Both models are investigated in the regimes of antiadiabaticity and strong HCB-phonon coupling with each site providing a different local optical phonon environment; furthermore, the HCB systems in both models are taken to be initially uncorrelated with the environment in the polaronic frame of reference. For the infinite-range model, we derive an effective many-body Hamiltonian that commutes with the long-range system Hamiltonian and thus has the same set of eigenstates; consequently, a quantum-master-equation approach shows that the quantum states of the system do not decohere. In the case of the two-site HCB model, we show clearly that the degree of decoherence and decay of excited state are enhanced by the proximity of the site-energy difference to the eigenenergy of phonons and are most pronounced when the site-energy difference is at resonance with twice the polaronic energy; additionally, the decoherence and the decay effects are reduced when the strength of HCB-phonon coupling is increased. Even for a multimode situation, the degree of decoherence and decay are again dictated by the nearness of the energy difference to the allowed phonon mode eigenenergies.
Ma, Hsi-Yen; Mechoso, C. R.; Xue, Yongkang; Xiao, Heng; Neelin, David; Ji, Xuan
2013-11-15
The impact of global tropical climate to perturbations in land surface processes (LSP) are evaluated using perturbations given by different LSP representations of continental-scale in a global climate model that includes atmosphere-ocean interactions. One representation is a simple land scheme, which specifies climatological albedos and soil moisture availability. The other representation is the more comprehensive Simplified Simple Biosphere Model, which allows for interactive soil moisture and vegetation biophysical processes. The results demonstrate that LSP processes such as interactive soil moisture and vegetation biophysical processes have strong impacts on the seasonal mean states and seasonal cycles of global precipitation, clouds, and surface air temperature. The impact is especially significant over the tropical Pacific. To explore the mechanisms for such impact, different LSP representations are confined to selected continental-scale regions where strong interactions of climate-vegetation biophysical processes are present. We find that the largest impact is mainly from LSP perturbations over the tropical African continent. The impact is through anomalous convective heating in tropical Africa due to changes in the surface heat fluxes, which in turn affect basinwide teleconnections in the Pacific through equatorial wave dynamics. The modifications in the equatorial Pacific climate are further enhanced by strong air-sea coupling between surface wind stress and upwelling, as well as effect of ocean memory. Our results further suggest that correct representations of land surface processes, land use change and the associated changes in the deep convection over tropical Africa are crucial to reducing the uncertainty when performing future climate projections under different climate change scenarios.
A. Faggionato; D. Gabrielli; M. Ribezzi Crivellari
2008-09-16
We consider Piecewise Deterministic Markov Processes (PDMPs) with a finite set of discrete states. In the regime of fast jumps between discrete states, we prove a law of large number and a large deviation principle. In the regime of fast and slow jumps, we analyze a coarse-grained process associated to the original one and prove its convergence to a new PDMP with effective force fields and jump rates. In all the above cases, the continuous variables evolve slowly according to ODEs. Finally, we discuss some applications related to the mechanochemical cycle of macromolecules, including strained--dependent power--stroke molecular motors. Our analysis covers the case of fully--coupled slow and fast motions.
Lee, Jin-Won; Lee, Yun-Seong Chang, Hong-Young; An, Sang-Hyuk
2014-08-15
In this study, we attempted to determine the possibility of multiple inductively coupled plasma (ICP) and helicon plasma sources for large-area processes. Experiments were performed with the one and two coils to measure plasma and electrical parameters, and a circuit simulation was performed to measure the current at each coil in the 2-coil experiment. Based on the result, we could determine the possibility of multiple ICP sources due to a direct change of impedance due to current and saturation of impedance due to the skin-depth effect. However, a helicon plasma source is difficult to adapt to the multiple sources due to the consistent change of real impedance due to mode transition and the low uniformity of the B-field confinement. As a result, it is expected that ICP can be adapted to multiple sources for large-area processes.
Chemical Models for Aqueous Biodynamical Processes
Mata-Segreda, Julio F.
1975-05-01
by the increase in the spacing of the hydrocarbon portions of the mole- 9 cules. Persistence of the hydrogen-bonded structure in tso-propanol during the small isothermal expansion limits greatly the increase in disorder relative to the same process in acetone... of molecules packed in such a way that one of their nearest neighbors has been removed. This leaves the material with the right amount of volume expansion and a reasonable degree of short-range order. This idea can also be put in terms of "holes" traveling...
Byrne, Michael Patrick
Simulations of warming climates with coupled climate models exhibit strong land-ocean contrasts in changes in surface temperature and relative humidity, but little land-ocean contrast in changes in equivalent potential ...
Hodgkiss, Justin M. (Justin Mark), 1978-
2007-01-01
Time-resolved optical spectroscopy has been employed for mechanistic studies in model systems designed to undergo photo-induced proton-coupled electron transfer (PCET) and oxygen atom transfer (OAT) reactions, both of which ...
Coupled In-Rock and In-Drift Hydrothermal Model Stuudy For Yucca Mountain
G. Danko; J. Birkholzer; D. Bahrami
2006-12-18
A thermal-hydrologic-natural-ventilation model is configured for simulating temperature, humidity, and condensate distributions in the coupled domains of the in-drift airspace and the near-field rockmass in the proposed Yucca Mountain repository. The multi-physics problem is solved with MULTIFLUX in which a lumped-parameter computational fluid dynamics model is iterated with TOUGH2. The solution includes natural convection, conduction, and radiation for heat as well as moisture convection and diffusion for moisture transport with half waste package scale details in the drift, and mountain-scale heat and moisture transport in the porous and fractured rock-mass. The method provides fast convergence on a personal computer computational platform. Numerical examples and comparison with a TOUGH2 based, integrated model are presented.
Towards scaling cosmological solutions with full coupled Horndeski Lagrangian: the KGB model
Gomes, A.R.; Amendola, Luca, E-mail: argomes@ifma.edu.br, E-mail: l.amendola@thphys.uni-heidelberg.de [Institut für Theoretische Physik, Universität Heidelberg, Philosophenweg 16, Heidelberg, D-69120 (Germany)
2014-03-01
We study a general scalar field Lagrangian coupled with matter and linear in ?? (also called KGB model). Within this class of models, we find the most general form of the Lagrangian that allows for cosmological scaling solutions, i.e. solutions where the ratio of matter to field density and the equation of state remain constant. Scaling solutions of this kind may help solving the coincidence problem since in this case the presently observed ratio of matter to dark energy does not depend on initial conditions, but rather on the theoretical parameters. Extending previous results we find that it is impossible to join in a single solution a matter era and the scaling attractor. This is an additional step towards finding the most general scaling Lagrangian within the Horndeski class, i.e. general scalar-tensor models with second order equations of motion.
Scalable Nonlinear Solvers for Fully Implicit Coupled Nuclear Fuel Modeling. Final Report
Cai, Xiao-Chuan; Keyes, David; Yang, Chao; Zheng, Xiang; Pernice, Michael
2014-09-29
The focus of the project is on the development and customization of some highly scalable domain decomposition based preconditioning techniques for the numerical solution of nonlinear, coupled systems of partial differential equations (PDEs) arising from nuclear fuel simulations. These high-order PDEs represent multiple interacting physical fields (for example, heat conduction, oxygen transport, solid deformation), each is modeled by a certain type of Cahn-Hilliard and/or Allen-Cahn equations. Most existing approaches involve a careful splitting of the fields and the use of field-by-field iterations to obtain a solution of the coupled problem. Such approaches have many advantages such as ease of implementation since only single field solvers are needed, but also exhibit disadvantages. For example, certain nonlinear interactions between the fields may not be fully captured, and for unsteady problems, stable time integration schemes are difficult to design. In addition, when implemented on large scale parallel computers, the sequential nature of the field-by-field iterations substantially reduces the parallel efficiency. To overcome the disadvantages, fully coupled approaches have been investigated in order to obtain full physics simulations.
Noise-induced cooperative dynamics and its control in coupled neuron models
B. Hauschildt; N. B. Janson; A. Balanov; E. Schoell
2006-10-04
We investigate feedback control of the cooperative dynamics of two coupled neural oscillators that is induced merely by external noise. The interacting neurons are modelled as FitzHugh-Nagumo systems with parameter values at which no autonomous oscillations occur, and each unit is forced by its own source of random fluctuations. Application of delayed feedback to only one of two subsystems is shown to be able to change coherence and timescales of noise induced oscillations either in the given subsystem, or globally. It is also able to induce or to suppress stochastic synchronization under certain conditions.
Tests of mode coupling theory in a simple model for two-component miscible polymer blends
A. J. Moreno; J. Colmenero
2007-09-26
We present molecular dynamics simulations on the structural relaxation of a simple bead-spring model for polymer blends. The introduction of a different monomer size induces a large time scale separation for the dynamics of the two components. Simulation results for a large set of observables probing density correlations, Rouse modes, and orientations of bond and chain end-to-end vectors, are analyzed within the framework of the Mode Coupling Theory (MCT). An unusually large value of the exponent parameter is obtained. This feature suggests the possibility of an underlying higher-order MCT scenario for dynamic arrest.
Model-Based Clustering for Expression Data via a Dirichlet Process Mixture Model
Dahl, David B.
10 Model-Based Clustering for Expression Data via a Dirichlet Process Mixture Model DAVID B. DAHL data based on a well-defined statistical model, specifically, a conjugate Dirichlet process mixture are generally not known. Model-based clustering procedures have been proposed for microarray data, including (1
Phipps, Steven J.
Possible future projection of Indian Summer Monsoon Rainfall (ISMR) with the evaluation of model assessment of future projected rainfall will be important for policy framework. Evaluation of models performance in Coupled Model Inter-comparison Project Phase 5 (CMIP5) P. Parth Sarthi , Soumik Ghosh, Praveen
Brown, Nigel; Lodge, Mike; Hilton, Linda; Adams, Alex [Arvia Technology Ltd, Sci-Tech Daresbury, Keckwick Lane, Daresbury, Cheshire, WA4, 4FS (United Kingdom)] [Arvia Technology Ltd, Sci-Tech Daresbury, Keckwick Lane, Daresbury, Cheshire, WA4, 4FS (United Kingdom); Vaudey, Claire-Emilie [AREVA CL BU, AREVA BUA STMI ZAC de Courcelle 1 route de la Noue 91196 Gif-sur-Yvette (France)] [AREVA CL BU, AREVA BUA STMI ZAC de Courcelle 1 route de la Noue 91196 Gif-sur-Yvette (France); Toulemonde, Valerie [AREVA DRD, Tour AREVA, 1, place Jean Millier, 92084 Paris La Defense Cedex (France)] [AREVA DRD, Tour AREVA, 1, place Jean Millier, 92084 Paris La Defense Cedex (France)
2013-07-01
The nuclear industry is not a provider of oils and solvents but uses them in motors, equipment and even in chemical processes to extract valuable products. Currently, for old and contaminated oils and solvents, techniques still exist, such as incineration, but not all the oils and solvents are compatible with this technique because the activities of some components inside the oils are too high to be accepted at the incineration facility. For these oils, an alternative technique needs to be found for treatment. A process developed for water treatment using a technique of adsorption coupled with electrochemical regeneration has been investigated to assess its capability to treat these organic wastes. One of the strengths of the process is its flexibility and adaptation to different compositions of oils. This point is important because, in the AREVA case, there are a lot of small volumes of old oils which need to be re-characterized. It takes time and money to do it especially when oils are contaminated; this is one reason why the technique is interesting to investigate. Tests have been performed with different oils coming from different sites to test the feasibility. Results demonstrate the destruction of a range of organics with regeneration energy requirements of 13.4 - 68.7 kWh/l and offer confidence for the future potential of the process. (authors)
Investigation of Coupled Processes and Impact of High Temperature Limits in Argillite Rock
Zheng, Liange; Rutqvist, Jonny; Kim, Kunhwi; Houseworth, Jim
2015-07-01
The focus of research within the UFD Campaign is on repository-induced interactions that may affect the key safety characteristics of an argillaceous rock. These include thermal-hydrologicalmechanical-chemical (THMC) process interactions that occur as a result of repository construction and waste emplacement. Some of the key questions addressed in this report include the development of fracturing in the excavation damaged zone (EDZ) and THMC effects on the near-field argillaceous rock and buffer minerals and petrophysical characteristics, particularly the impacts of induced temperature rise caused by waste heat.
Hierarchical Bayesian Models for Predicting The Spread of Ecological Processes
Hierarchical Bayesian Models for Predicting The Spread of Ecological Processes Christopher K. Wikle Department of Statistics, University of Missouri To appear: Ecology June 10, 2002 Key Words: Bayesian, Diffusion, Forecast, Hierarchical, House Finch, Invasive, Malthu- sian, State Space, Uncertainty Abstract
"Big Picture" Process Modeling Tools |GE Global Research
Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)
Using process modeling tools to attain cost-effective results for GE customers Click to email this to a friend (Opens in new window) Share on Facebook (Opens in new window) Click...
MODELLING DISTRIBUTED KNOWLEDGE PROCESSES IN NEXT GENERATION MULTIDISCIPLINARY ALLIANCES *
Bowker, Geoffrey C.
MODELLING DISTRIBUTED KNOWLEDGE PROCESSES IN NEXT GENERATION MULTIDISCIPLINARY ALLIANCES * Alaina G and industrial dollars are invested in establishing academic-industry alliances and building infrastructures and technology in distributed, multidisciplinary scientific teams in the National Computational Science Alliance
Use of artificial intelligence for process modeling and control
You, Yong
1991-01-01
USE OF ARTIFICIAL INTELLIGENCE FOR PROCESS MODELING AND CONTROL A Thesis by YONG YOU Submitted to the Office of Graduate Stuclies of Texas A&M University in partial fulffllment of the requirement for the degree of IvIASTER OF SCIENCE May... 1991 Major Subject: Chemical Engineering USE OF ARTIFICIAL INTELLIGENCE FOR PROCESS MODELING AND CONTROL A Thesis by YONG YOU Approved as to style and content by: Michael Nikolaou (Chair of Committee) Ralph E. White (Member) Alexande...
anQCD: Fortran programs for couplings at complex momenta in various analytic QCD models
Ayala, Cesar
2015-01-01
We provide three Fortran programs which evaluate the QCD analytic (holomorphic) couplings $\\mathcal{A}_{\
Gas permeation carbon capture --- Process modeling and optimization
Morinelly, Juan; Miller, David
2011-01-01
A multi-staged gas permeation carbon capture process model was developed in Aspen Custom Modeler{reg_sign} (ACM) and optimized in the context of the retrofit of a 550 MW subcritical pulverized coal (PC) power plant. The gas permeation stages in the process are described by a custom multi-component, hollowfiber membrane model. Gas transport across the asymmetric membrane was modeled according to the solution-diffusion model for the selective skin layer and the assumption of negligible flux resistance by the porous support. Counter-current, one-dimensional plug flow was assumed with permeate pressure drop in the fiber lumen side due to capillary constrained flow. A modular optimization framework was used to minimize the levelized cost of electricity (LCOE) by optimizing a set of key process variables. The framework allows the external control of multiple simulation modules from different software packages from a common interface.
Automatic Translation of Process Modeling Formalisms George T. Heineman
Heineman, George T.
in the organization performs the tasks, and where the tasks are done. Activity charts are used to model the func- tional perspective of the process. These charts 2Statemate is a trademark of i-Logix, Inc., Burling- ton of individual process steps. The #12;nal per- spective is provided by module charts that de- scribe
Searching for PMIPS: Process Model Instructions Per Second
Baldi, Mario
management system (DBMS), process engine (PrE), and user interface (UI) service. The PrE interprets and executes process modÂ els. The DBMS stores and manages both software products and process models machines ranging from terminals to mainframes. tools DBMS C DPP DCS C C ID D A1 A2 A3 A4 PrE A5 DCS DPP Fig
Coupling of an average-atom model with a collisional-radiative equilibrium model
Faussurier, G. Blancard, C.; Cossé, P.
2014-11-15
We present a method to combine a collisional-radiative equilibrium model and an average-atom model to calculate bound and free electron wavefunctions in hot dense plasmas by taking into account screening. This approach allows us to calculate electrical resistivity and thermal conductivity as well as pressure in non local thermodynamic equilibrium plasmas. Illustrations of the method are presented for dilute titanium plasma.
A Spatio-Temporal Point Process Model for Ambulance Demand
Woodard, Dawn B.
(EMS) managers need accurate demand estimates to mini- mize response times to emergencies and keep. Several studies have modeled aggregate ambulance demand as a temporal process. Channouf et al. (2007) use by combining a dynamic latent factor structure with integer time series models. Other aggregate demand studies
SolarStat: Modeling Photovoltaic Sources through Stochastic Markov Processes
Rossi, Michele
SolarStat: Modeling Photovoltaic Sources through Stochastic Markov Processes Marco Miozzo target photovoltaic panels with small form factors, as those exploited by embedded communication devices the GPL license at [1]. Index Terms--Renewable Photovoltaic Sources, Stochastic Markov Modeling, Empirical
Modeling and Processing of High Dimensional Signals and Systems Using
1 Modeling and Processing of High Dimensional Signals and Systems Using the Sparse Matrix Transform Experimental results on medical imaging Covariance estimation for high dimensional signals SMT framework SMT for covariance estimation Experimental results of SMT for modeling hyper-spectral data and face images
Model-Driven Process Configuration of Enterprise Systems*
van der Aalst, Wil
have been funded by SAP Research and Queensland University of Technology with the project "ModellingModel-Driven Process Configuration of Enterprise Systems* Alexander Dreiling, Michael Rosemann Queensland University of Technology Wil van der Aalst Eindhoven University of Technology Wasim Sadiq SAP
Markov Decision Processes: Models, Methods, Directions and Open Problems
Shwartz, Adam
of optimization models for the operation of multipurpose reser- voir systems does not seem widespread. Instead and the St-Lawrence seaway. Throughout the twentieth cen- tury, hydroelectric production has become a major modeling of reservoir management problems as Markov decision processes (MDP), and their optimization
PROCESS MODELING AND CONTROL The Department of Chemical Engineering
Lightsey, Glenn
economic performance · MIMO (vs. SISO) models · Nonlinear (vs. linear) models · Stochastic variables.D. Graduates (2005 - 2008) Student/Supervisor Destination E. Hale (JQ) Ph.D. (8/05) NREL R. Chong (TFE) M.S. (8 (Emerson Process Management) · J. Lee (postdoc) Various topics in multivariable control (e.g., multiloop
Statistical post processing of model output from the air quality model LOTOS-EUROS
Stoffelen, Ad
are calculated with R, a language for statistical computing. The routine STEP in R is used to remove variablesStatistical post processing of model output from the air quality model LOTOS-EUROS Annemiek Pijnappel De Bilt, 2011 | Stageverslag #12;#12;Statistical post processing of model output from the air
Shackley, Simon.; Risbey, James; Stone, Peter H.; Wynne, Brian
This paper surveys and interprets the attitudes of scientists to the use of flux adjustments in climate projections with coupled Atmosphere Ocean General Circulation Models. The survey is based largely on the responses of ...
A statistical study of magnetosphereionosphere coupling in the LyonFedderMobarry global MHD model
Lotko, William
processes acting between the two regions. The Earth's magnetosphere supplies energy to the ionosphere while state (Lotko, 2007). In global MHD models of the solar wind- magnetosphereionosphere system, the MI of Engineering, Dartmouth College, Hanover, NH03755, USA b High Altitude Observatory, National Center
A Process Model for the Production of Hydrogen Using High Temperature Electrolysis
M. G. Mc Kellar; E. A. Harvego; M. Richards; A. Shenoy
2006-07-01
High temperature electrolysis (HTE) involves the splitting of stream into hydrogen and oxygen at high temperatures. The primary advantage of HTE over conventional low temperature electrolysis is that considerably higher hydrogen production efficiencies can be achieved. Performing the electrolysis process at high temperatures results in more favorable thermodynamics for electrolysis, more efficient production of electricity, and allows direct use of process heat to generate steam. This paper presents the results of process analyses performed to evaluate the hydrogen production efficiencies of an HTE plant coupled to a 600 MWt Modular Helium Reactor (MHR) that supplies both the electricity and process heat needed to drive the process. The MHR operates with a coolant outlet temperature of 950 C. Approximately 87% of the high-temperature heat is used to generate electricity at high efficiency using a direct, Brayton-cycle power conversion system. The remaining high-temperature heat is used to generate a superheated steam / hydrogen mixture that is supplied to the electrolyzers. The analyses were performed using the HYSYS process modeling software. The model used to perform the analyses consisted of three loops; a primary high temperature helium loop, a secondary helium loop and the HTE process loop. The detailed model included realistic representations of all major components in the system, including pumps, compressors, heat exchange equipment, and the electrolysis stack. The design of the hydrogen production process loop also included a steam-sweep gas system to remove oxygen from the electrolysis stack so that it can be recovered and used for other applications. Results of the process analyses showed that hydrogen production efficiencies in the range of 45% to 50% are achievable with this system.
Thermal-reliable 3D Clock-tree Synthesis Considering Nonlinear Electrical-thermal-coupled TSV Model
Lim, Sung Kyu
Thermal-reliable 3D Clock-tree Synthesis Considering Nonlinear Electrical-thermal-coupled TSV Model, physics-based electrical-thermal model is introduced for both signal and dummy thermal TSVs with the consider- ation of nonlinear electrical-thermal dependence. Taking thermal-reliable 3D clock-tree synthesis
Testing and Modeling of a 3-MW Wind Turbine Using Fully Coupled Simulation Codes (Poster)
LaCava, W.; Guo, Y.; Van Dam, J.; Bergua, R.; Casanovas, C.; Cugat, C.
2012-06-01
This poster describes the NREL/Alstom Wind testing and model verification of the Alstom 3-MW wind turbine located at NREL's National Wind Technology Center. NREL,in collaboration with ALSTOM Wind, is studying a 3-MW wind turbine installed at the National Wind Technology Center(NWTC). The project analyzes the turbine design using a state-of-the-art simulation code validated with detailed test data. This poster describes the testing and the model validation effort, and provides conclusions about the performance of the unique drive train configuration used in this wind turbine. The 3-MW machine has been operating at the NWTC since March 2011, and drive train measurements will be collected through the spring of 2012. The NWTC testing site has particularly turbulent wind patterns that allow for the measurement of large transient loads and the resulting turbine response. This poster describes the 3-MW turbine test project, the instrumentation installed, and the load cases captured. The design of a reliable wind turbine drive train increasingly relies on the use of advanced simulation to predict structural responses in a varying wind field. This poster presents a fully coupled, aero-elastic and dynamic model of the wind turbine. It also shows the methodology used to validate the model, including the use of measured tower modes, model-to-model comparisons of the power curve, and mainshaft bending predictions for various load cases. The drivetrain is designed to only transmit torque to the gearbox, eliminating non-torque moments that are known to cause gear misalignment. Preliminary results show that the drivetrain is able to divert bending loads in extreme loading cases, and that a significantly smaller bending moment is induced on the mainshaft compared to a three-point mounting design.
Coupling of pion condensate, chiral condensate and Polyakov loop in an extended NJL model
Zhao Zhang; Yu-Xin Liu
2007-05-09
The Nambu Jona-Lasinio model with a Polyakov loop is extended to finite isospin chemical potential case, which is characterized by simultaneous coupling of pion condensate, chiral condensate and Polyakov loop. The pion condensate, chiral condensate and the Polyakov loop as functions of temperature and isospin chemical potential are investigated by minimizing the thermodynamic potential of the system. The resulting $(T,\\mu_I)$ phase diagram is studied with emphasis on the critical point and Polyakov loop dynamics. The tricritical point for the pion superfluidity phase transition is confirmed and the phase transition for isospin symmetry restoration in high isospin chemical potential region perfectly coincides with the crossover phase transition for Polyakov loop. These results are in agreement with the Lattice QCD data.
Physical Origin of Density Dependent Force of the Skyrme Type within the Quark Meson Coupling Model
Pierre Guichon; Hrayr Matevosyan; N. Sandulescu; Anthony Thomas
2006-03-17
A density dependent, effective nucleon-nucleon force of the Skyrme type is derived from the quark-meson coupling model--a self-consistent, relativistic quark level description of nuclear matter. This new formulation requires no assumption that the mean scalar field is small and hence constitutes a significant advance over earlier work. The similarity of the effective interaction to the widely used SkM* force encourages us to apply it to a wide range of nuclear problems, beginning with the binding energies and charge distributions of doubly magic nuclei. Finding impressive results in this conventional arena, we apply the same effective interaction, within the Hartree-Fock-Bogoliubov approach, to the properties of nuclei far from stability. The resulting two neutron drip lines and shell quenching are quite satisfactory. Finally, we apply the relativistic formulation to the properties of dense nuclear matter in anticipation of future application to the properties of neutron stars.
Experimental investigation and modeling of a direct-coupled PV/T air collector
Shahsavar, A.; Ameri, M.
2010-11-15
Photovoltaic/thermal (PV/T) systems refer to the integration of photovoltaic and solar thermal technologies into one single system, in that both useful heat energy and electricity are produced. The impetus of this paper is to model a direct-coupled PV/T air collector which is designed, built, and tested at a geographic location of Kerman, Iran. In this system, a thin aluminum sheet suspended at the middle of air channel is used to increase the heat exchange surface and consequently improve heat extraction from PV panels. This PV/T system is tested in natural convection and forced convection (with two, four and eight fans operating) and its unsteady results are presented in with and without glass cover cases. A theoretical model is developed and validated against experimental data, where good agreement between the measured values and those calculated by the simulation model were achieved. Comparisons are made between electrical performance of the different modes of operation, and it is concluded that there is an optimum number of fans for achieving maximum electrical efficiency. Also, results show that setting glass cover on photovoltaic panels leads to an increase in thermal efficiency and decrease in electrical efficiency of the system. (author)
Learning Business Process Models: A case study Johny Ghattas, Pnina Soffer, Mor Peleg
Peleg, Mor
Learning Business Process Models: A case study Johny Ghattas, Pnina Soffer, Mor Peleg Management the application of LPM to a vaccination process. Keywords: Learning, business process model, generic process model the currently defined process model and the actual business process are detected. This forms the basis
Nguyen, Ba Nghiep; Jin, Xiaoshi; Wang, Jin; Phelps, Jay; Tucker III, Charles L.; Kunc, Vlastimil; Bapanapalli, Satish K.; Smith, Mark T.
2010-02-23
This report describes the work conducted under the Cooperative Research and Development Agreement (CRADA) (Nr. 260) between the Pacific Northwest National Laboratory (PNNL) and Autodesk, Inc. to develop and implement process models for injection-molded long-fiber thermoplastics (LFTs) in processing software packages. The structure of this report is organized as follows. After the Introduction Section (Section 1), Section 2 summarizes the current fiber orientation models developed for injection-molded short-fiber thermoplastics (SFTs). Section 3 provides an assessment of these models to determine their capabilities and limitations, and the developments needed for injection-molded LFTs. Section 4 then focuses on the development of a new fiber orientation model for LFTs. This model is termed the anisotropic rotary diffusion - reduced strain closure (ARD-RSC) model as it explores the concept of anisotropic rotary diffusion to capture the fiber-fiber interaction in long-fiber suspensions and uses the reduced strain closure method of Wang et al. to slow down the orientation kinetics in concentrated suspensions. In contrast to fiber orientation modeling, before this project, no standard model was developed to predict the fiber length distribution in molded fiber composites. Section 5 is therefore devoted to the development of a fiber length attrition model in the mold. Sections 6 and 7 address the implementations of the models in AMI, and the conclusions drawn from this work is presented in Section 8.
Mathematical modeling and computer simulation of processes in energy systems
Hanjalic, K.C. )
1990-01-01
This book is divided into the following chapters. Modeling techniques and tools (fundamental concepts of modeling); 2. Fluid flow, heat and mass transfer, chemical reactions, and combustion; 3. Processes in energy equipment and plant components (boilers, steam and gas turbines, IC engines, heat exchangers, pumps and compressors, nuclear reactors, steam generators and separators, energy transport equipment, energy convertors, etc.); 4. New thermal energy conversion technologies (MHD, coal gasification and liquefaction fluidized-bed combustion, pulse-combustors, multistage combustion, etc.); 5. Combined cycles and plants, cogeneration; 6. Dynamics of energy systems and their components; 7. Integrated approach to energy systems modeling, and 8. Application of modeling in energy expert systems.
Ulm, Universität
Bridging the Gap Between Business Process Models and ServiceProcess Models and ServiceProcess Models and Service of the major reasons for this deficiency is the gap that exists between business process models on the one hand a flexible approach for aligning business process models with workflow specifications. In order to maintain
Web Services-Enhanced Agile Modeling and Integrating Business Processes
Belouadha, Fatima-Zahra; Roudiès, Ounsa
2012-01-01
In a global business context with continuous changes, the enterprises have to enhance their operational efficiency, to react more quickly, to ensure the flexibility of their business processes, and to build new collaboration pathways with external partners. To achieve this goal, they must use e-business methods, mechanisms and techniques while capitalizing on the potential of new information and communication technologies. In this context, we propose a standards, model and Web services-based approach for modeling and integrating agile enterprise business processes. The purpose is to benefit from Web services characteristics to enhance the processes design and realize their dynamic integration. The choice of focusing on Web services is essentially justified by their broad adoption by enterprises as well as their capability to warranty interoperability between both intra and inter-enterprises systems. Thereby, we propose in this chapter a metamodel for describing business processes, and discuss their dynamic in...
DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]
In response to a proposed activity of the WCRP's Working Group on Coupled Modelling (WGCM),PCMDI volunteered to collect model output contributed by leading modeling centers around the world. Climate model output from simulations of the past, present and future climate was collected by PCMDI mostly during the years 2005 and 2006, and this archived data constitutes phase 3 of the Coupled Model Intercomparison Project (CMIP3). In part, the WGCM organized this activity to enable those outside the major modeling centers to perform research of relevance to climate scientists preparing the Fourth Asssessment Report (AR4) of the Intergovernmental Panel on Climate Change (IPCC). The IPCC was established by the World Meteorological Organization and the United Nations Environmental Program to assess scientific information on climate change. The IPCC publishes reports that summarize the state of the science. This unprecedented collection of recent model output is officially known as the WCRP CMIP3 multi-model dataset. It is meant to serve IPCC's Working Group 1, which focuses on the physical climate system - atmosphere, land surface, ocean and sea ice - and the choice of variables archived at the PCMDI reflects this focus. A more comprehensive set of output for a given model may be available from the modeling center that produced it. As of November 2007, over 35 terabytes of data were in the archive and over 303 terabytes of data had been downloaded among the more than 1200 registered users. Over 250 journal articles, based at least in part on the dataset, have been published or have been accepted for peer-reviewed publication. Countries from which models have been gathered include Australia, Canada, China, France, Germany and Korea, Italy, Japan, Norway, Russia, Great Britain and the United States. Models, variables, and documentation are collected and stored. Check http://www-pcmdi.llnl.gov/ipcc/data_status_tables.htm to see at a glance the output that is available. (Description taken from http://www-pcmdi.llnl.gov/ipcc/about_ipcc.php)
Penny, Will
2009-01-01
Please cite this article in press as: Penny WD, et al. Dynamic Causal Models for phase coupling. J and locomotor rhythms (Buzsaki, 2006) and are more Corresponding author. E-mail address: w.penny@fil.ion.ucl.ac.uk (W.D. Penny). recently arising in studies of sleep, memory and higher cogni- tive processes
Metal coupled emission process
Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site
also extremely important markets for energy conservation ISTN, Inc. "Low density thermoplastic nanofoams nucleated by nanoparticles", Stephaney Costeux , Lingbo Zhu, Polymer,...
Diode laser welding of ABS: Experiments and process modeling
Ilie, Mariana; Mattei, Simone; Cicala, Eugen; Stoica, Virgil; 10.1016/j.optlastec.2008.10.005
2010-01-01
The laser beam weldability of acrylonitrile/butadiene/styrene (ABS) plates is determined by combining both experimental and theoretical aspects. In modeling the process, an optical model is used to determine how the laser beam is attenuated by the first material and to obtain the laser beam profile at the interface. Using this information as the input data to a thermal model, the evolution of the temperature field within the two components can be estimated. The thermal model is based on the first principles of heat transfer and utilizes the temperature variation laws of material properties. Corroborating the numerical results with the experimental results, some important insights concerning the fundamental phenomena that govern the process could be extracted. This approach proved to be an efficient tool in determining the weldability of polimeric materials and assures a significant reduction of time and costs with the experimental exploration.
Process modeling for the Integrated Thermal Treatment System (ITTS) study
Liebelt, K.H.; Brown, B.W.; Quapp, W.J.
1995-09-01
This report describes the process modeling done in support of the integrated thermal treatment system (ITTS) study, Phases 1 and 2. ITTS consists of an integrated systems engineering approach for uniform comparison of widely varying thermal treatment technologies proposed for treatment of the contact-handled mixed low-level wastes (MLLW) currently stored in the U.S. Department of Energy complex. In the overall study, 19 systems were evaluated. Preconceptual designs were developed that included all of the various subsystems necessary for a complete installation, from waste receiving through to primary and secondary stabilization and disposal of the processed wastes. Each system included the necessary auxiliary treatment subsystems so that all of the waste categories in the complex were fully processed. The objective of the modeling task was to perform mass and energy balances of the major material components in each system. Modeling of trace materials, such as pollutants and radioactive isotopes, were beyond the present scope. The modeling of the main and secondary thermal treatment, air pollution control, and metal melting subsystems was done using the ASPEN PLUS process simulation code, Version 9.1-3. These results were combined with calculations for the remainder of the subsystems to achieve the final results, which included offgas volumes, and mass and volume waste reduction ratios.
Adjoint modeling for atmospheric pollution process sensitivity at regional scale
Menut, Laurent
, a strong pollution event was documented over Paris as part of the Etude et Simulation de la Qualite´ de l'airAdjoint modeling for atmospheric pollution process sensitivity at regional scale Laurent Menut 1998 the pollution event changes from a well-marked ozone plume issued from Paris to a more general
STUDIES ON MODELING AND CONTROL OF CONTINUOUS BIOTECHNICAL PROCESSES
Skogestad, Sigurd
STUDIES ON MODELING AND CONTROL OF CONTINUOUS BIOTECHNICAL PROCESSES by Ying Zhao A T hesis grandmother, Youlian Huya on her centennial birth anniversary , 1 #12; #12; i ABSTRACT Continuous bioreactors to the development of advanced control strategies for continuous bioreactors. Therefore, the field of continuous
CHANGE PROCESS MODELLING USING THE EKD-CHANGE MANAGEMENT METHOD
Boyer, Edmond
CHANGE PROCESS MODELLING USING THE EKD-CHANGE MANAGEMENT METHOD S. Nurcan* , J. Barrios*1 , G The Enterprise Knowledge Development - Change Management Method (EKD-CMM) provides a systematic way to organise and to guide the organisational change management. The EKD-CMM road map, implemented in the electronic guide
Modelling microbial population dynamics in nitritation processes Elisabetta Giusti a
Modelling microbial population dynamics in nitritation processes Elisabetta Giusti a , Stefano. Marta 3, I-50139 Florence, Italy b ENEA, Italian National Agency for New Technologies, Energy January 2011 Accepted 1 February 2011 Available online 3 March 2011 Keywords: Microbial kinetics Activated
A NONGAUSSIAN ORNSTEINUHLENBECK PROCESS FOR ELECTRICITY SPOT PRICE MODELING AND
Kallsen, Jan
A NONGAUSSIAN ORNSTEINUHLENBECK PROCESS FOR ELECTRICITY SPOT PRICE MODELING AND DERIVATIVES for analytical pricing of electricity forward and futures contracts. Electricity forward and futures contracts to capture the observed dynamics of electricity spot prices. We also discuss the pricing of European call
Automatic Translation of Process Modeling Formalisms George T. Heineman 1
these perspective charts. ffl Functional perspective -- determines what the tasks are, and the information flow Organizational perspective -- determines who in the organization performs the tasks, and where the tasks are done. Activity charts are used to model the functional perspective of the process. These charts focus
Modelling of Industrial Processes for Polymer Extrusion and Injection Moulding
Eindhoven, Technische Universiteit
/Continuum Mechanics. Faculty: Mathematics and Computing Science. Eindhoven University of Technology (EUT) Our mainModelling of Industrial Processes for Polymer Melts: Extrusion and Injection Moulding Fons van de Ven Eindhoven University of Technology P.O.Box 513; 5600 MB Eindhoven, The Netherlands Abstract
Dynamic Simulation Model of a Consumer Foods Production Process !
Sun, Yu
schedule based on product list The SIMUL8 Component 1. Over 200 lines of simula0on code 2. ReadsDynamic Simulation Model of a Consumer Foods Production Process ! Goals · Create a dynamic simula0 Created par0ally automated Excel files to go handin hand with simula0on o Contains all SKUs and meat
A Formal Foundation for Process Modeling Christopher Menzel Michael Gruninger
Menzel, Christopher
77840-4237 College Park, MD 20742 cmenzel@tamu.edu gruning@cme.nist.gov Abstract: Process modeling is ubiquitous in business and industry. While a great deal of effort has been devoted to the formal is ubiquitous in business and industry. While a great deal of effort has been devoted to the formal
Apte, Sourabh V.
2007 Modeling Volumetric Coupling of the Dispersed Phase using the Eulerian-Lagrangian Approach Ehsan the flow due to dispersed phase and is termed as volumetric coupling. The size of the dispersed phase regions. The volumetric coupling approach is first validated with analytical studies for flow induced
OASIS4: A Coupling Software for Next Generation Earth System Modelling René Redler (1), Sophie system modelling, Geosci. Model. Dev., 3, 87 104 Link https://oasistrac.cerfacs.fr Financial support R. Redler, S. Valcke and H. Ritzdorf, 2010: OASIS4 a coupling software for next generation earth
Modeling veterans healthcare administration disclosure processes : CY 2012 summary.
Beyeler, Walter Eugene; DeMenno, Mercy B.; Finley, Patrick D.
2013-09-01
As with other large healthcare organizations, medical adverse events at the Department of Veterans Affairs (VA) facilities can expose patients to unforeseen negative risks. VHA leadership recognizes that properly handled disclosure of adverse events can minimize potential harm to patients and negative consequences for the effective functioning of the organization. The work documented here seeks to help improve the disclosure process by situating it within the broader theoretical framework of issues management, and to identify opportunities for process improvement through modeling disclosure and reactions to disclosure. The computational model will allow a variety of disclosure actions to be tested across a range of incident scenarios. Our conceptual model will be refined in collaboration with domain experts, especially by continuing to draw on insights from VA Study of the Communication of Adverse Large-Scale Events (SCALE) project researchers.
Ayad, G.; Barriere, T.; Gelin, J. C. [Femto-ST Institute/LMA, ENSMM, 26 Rue de l'Epitaphe, 25000 Besancon (France); Song, J. [Femto-ST Institute/LMA, ENSMM, 26 Rue de l'Epitaphe, 25000 Besancon (France); Department of Applied Mechanics and Engineering, Southwest Jiaotong University, 610031 Chengdu (China); Liu, B. [Department of Applied Mechanics and Engineering, Southwest Jiaotong University, 610031 Chengdu (China)
2007-05-17
The paper is concerned with optimization and parametric identification of Powder Injection Molding process that consists first in injection of powder mixture with polymer binder and then to the sintering of the resulting powders parts by solid state diffusion. In the first part, one describes an original methodology to optimize the injection stage based on the combination of Design Of Experiments and an adaptive Response Surface Modeling. Then the second part of the paper describes the identification strategy that one proposes for the sintering stage, using the identification of sintering parameters from dilatometer curves followed by the optimization of the sintering process. The proposed approaches are applied to the optimization for manufacturing of a ceramic femoral implant. One demonstrates that the proposed approach give satisfactory results.
Office of Energy Efficiency and Renewable Energy (EERE)
Presentation given by National Renewable Energy Laboratory at 2015 DOE Hydrogen and Fuel Cells Program and Vehicle Technologies Office Annual Merit Review and Peer Evaluation Meeting about coupling...
Design of Nanostructured Solar Cells Using Coupled Optical and Electrical Modeling
Deceglie, Michael G
2014-01-01
novel route toward optical solar cell design, in which lightDesign of Nanostructured Solar Cells Using Coupled Opticaland electrical design of light trapping in solar cells is
A thermo-hydro-mechanical coupled model in local thermal non-equilibrium for fractured HDR reservoir
Boyer, Edmond
A thermo-hydro-mechanical coupled model in local thermal non-equilibrium for fractured HDR of New South Wales, Sydney 2052, Australia. Abstract The constitutive thermo-hydro-mechanical equations is next applied to simulate circulation tests at the Fenton Hill HDR reservoir. The finer thermo-hydro
Gnanadesikan, Anand
shortwave penetration in the high-latitude Southern Ocean causes an increase in the formation of mode waterOcean Water Clarity and the Ocean General Circulation in a Coupled Climate Model ANAND GNANADESIKAN Jersey (Manuscript received 11 October 2007, in final form 17 July 2008) ABSTRACT Ocean water clarity
Punjabi, Sangeeta B.; Sahasrabudhe, S. N.; Das, A. K.; Joshi, N. K.; Mangalvedekar, H. A.; Kothari, D. C.
2014-01-15
This paper provides 2D comparative study of results obtained using laminar and turbulent flow model for RF (radio frequency) Inductively Coupled Plasma (ICP) torch. The study was done for the RF-ICP torch operating at 50?kW DC power and 3?MHz frequency located at BARC. The numerical modeling for this RF-ICP torch is done using ANSYS software with the developed User Defined Function. A comparative study is done between laminar and turbulent flow model to investigate how temperature and flow fields change when using different operating conditions such as (a) swirl and no swirl velocity for sheath gas flow rate, (b) variation in sheath gas flow rate, and (c) variation in plasma gas flow rate. These studies will be useful for different material processing applications.
Liu, Mian
How does trench coupling lead to mountain building in the Subandes? A viscoelastoplastic finite cause of the Andean mountain building. The present-day crustal shortening in the Andes is clear from the cyclic trench coupling leads to long-term mountain building, which has been concentrated in the Subandes
"Violent Intent Modeling: Incorporating Cultural Knowledge into the Analytical Process
Sanfilippo, Antonio P.; Nibbs, Faith G.
2007-08-24
While culture has a significant effect on the appropriate interpretation of textual data, the incorporation of cultural considerations into data transformations has not been systematic. Recognizing that the successful prevention of terrorist activities could hinge on the knowledge of the subcultures, Anthropologist and DHS intern Faith Nibbs has been addressing the need to incorporate cultural knowledge into the analytical process. In this Brown Bag she will present how cultural ideology is being used to understand how the rhetoric of group leaders influences the likelihood of their constituents to engage in violent or radicalized behavior, and how violent intent modeling can benefit from understanding that process.
Impact of Agricultural Practice on Regional Climate in a CoupledLand Surface Mesoscale Model
Cooley, H.S.; Riley, W.J.; Torn, M.S.; He, Y.
2004-07-01
The land surface has been shown to form strong feedbacks with climate due to linkages between atmospheric conditions and terrestrial ecosystem exchanges of energy, momentum, water, and trace gases. Although often ignored in modeling studies, land management itself may form significant feedbacks. Because crops are harvested earlier under drier conditions, regional air temperature, precipitation, and soil moisture, for example, affect harvest timing, particularly of rain-fed crops. This removal of vegetation alters the land surface characteristics and may, in turn, affect regional climate. We applied a coupled climate(MM5) and land-surface (LSM1) model to examine the effects of early and late winter wheat harvest on regional climate in the Department of Energy Atmospheric Radiation Measurement (ARM) Climate Research Facility in the Southern Great Plains, where winter wheat accounts for 20 percent of the land area. Within the winter wheat region, simulated 2 m air temperature was 1.3 C warmer in the Early Harvest scenario at mid-day averaged over the two weeks following harvest. Soils in the harvested area were drier and warmer in the top 10 cm and wetter in the 10-20 cm layer. Midday soils were 2.5 C warmer in the harvested area at mid-day averaged over the two weeks following harvest. Harvest also dramatically altered latent and sensible heat fluxes. Although differences between scenarios diminished once both scenarios were harvested, the short-term impacts of land management on climate were comparable to those from land cover change demonstrated in other studies.
Time-dependent modeling of radiative processes in hot magnetized plasmas
Indrek Vurm; Juri Poutanen
2009-03-03
Numerical simulations of radiative processes in magnetized compact sources such as hot accretion disks around black holes, relativistic jets in active galaxies and gamma-ray bursts are complicated because the particle and photon distributions span many orders of magnitude in energy, they also strongly depend on each other, the radiative processes behave significantly differently depending on the energy regime, and finally due to the enormous difference in the time-scales of the processes. We have developed a novel computer code for the time-dependent simulations that overcomes these problems. The processes taken into account are Compton scattering, electron-positron pair production and annihilation, Coulomb scattering as well as synchrotron emission and absorption. No approximation has been made on the corresponding rates. For the first time, we solve coupled integro-differential kinetic equations for photons and electrons/positrons without any limitations on the photon and lepton energies. A numerical scheme is proposed to guarantee energy conservation when dealing with synchrotron processes in electron and photon equations. We apply the code to model non-thermal pair cascades in the blackbody radiation field, to study the synchrotron self-absorption as particle thermalization mechanism, and to simulate time evolution of stochastically heated pairs and corresponding synchrotron self-Compton photon spectra which might be responsible for the prompt emission of gamma-ray bursts. Good agreement with previous works is found in the parameter regimes where comparison is feasible, with the differences attributable to our improved treatment of the microphysics.
ACTINIDE REMOVAL PROCESS SAMPLE ANALYSIS, CHEMICAL MODELING, AND FILTRATION EVALUATION
Martino, C.; Herman, D.; Pike, J.; Peters, T.
2014-06-05
Filtration within the Actinide Removal Process (ARP) currently limits the throughput in interim salt processing at the Savannah River Site. In this process, batches of salt solution with Monosodium Titanate (MST) sorbent are concentrated by crossflow filtration. The filtrate is subsequently processed to remove cesium in the Modular Caustic Side Solvent Extraction Unit (MCU) followed by disposal in saltstone grout. The concentrated MST slurry is washed and sent to the Defense Waste Processing Facility (DWPF) for vitrification. During recent ARP processing, there has been a degradation of filter performance manifested as the inability to maintain high filtrate flux throughout a multi-batch cycle. The objectives of this effort were to characterize the feed streams, to determine if solids (in addition to MST) are precipitating and causing the degraded performance of the filters, and to assess the particle size and rheological data to address potential filtration impacts. Equilibrium modelling with OLI Analyzer{sup TM} and OLI ESP{sup TM} was performed to determine chemical components at risk of precipitation and to simulate the ARP process. The performance of ARP filtration was evaluated to review potential causes of the observed filter behavior. Task activities for this study included extensive physical and chemical analysis of samples from the Late Wash Pump Tank (LWPT) and the Late Wash Hold Tank (LWHT) within ARP as well as samples of the tank farm feed from Tank 49H. The samples from the LWPT and LWHT were obtained from several stages of processing of Salt Batch 6D, Cycle 6, Batch 16.
Modelling ocean circulation processes in the MIT general circulation model using nen
Barnshaw, Heather E
2007-09-24
Previous work by Reitsma and Albrecht (2005, 2006) and Reitsma and Dubayah (2006) documented the development and implementation of a new process-based data model, called nen. This paper extends that work by applying the ...
Solano, Freddy Cueva
2015-01-01
In this work we study the effects of the non-gravitational exchange energy (Q) between dark matter (DM) fluid and dark energy (DE) fluid on the background evolution of the cosmological parameters. A varying equation of state (EOS) parameter, {\\omega}, for DE is proposed. Considering an universe spatially flat, two distinct coupled models were examined to explore the main cosmological effects generated by the simultaneous reconstruction of Q and {\\omega} on the shape of the jerk parameter, j, through a slight enhancement or suppression of their amplitudes with respect to noncoupled scenarios, during its evolution from the past to the near future. In consequence, j could be used to distinguish any coupled DE models. Otherwise, the observational data were used to put stringent constraints on Q and {\\omega}, respectively. In such a way, we used our results as evidences to search possible deviations from the standard concordance model ({\\Lambda}CDM), examining their predictions and improving our knowledge of the c...
Joubert-Doriol, Loïc; Ryabinkin, Ilya G.; Izmaylov, Artur F.; Chemical Physics Theory Group, Department of Chemistry, University of Toronto, Toronto, Ontario M5S 3H6
2013-12-21
In molecular systems containing conical intersections (CIs), a nontrivial geometric phase (GP) appears in the nuclear and electronic wave functions in the adiabatic representation. We study GP effects in nuclear dynamics of an N-dimensional linear vibronic coupling (LVC) model. The main impact of GP on low-energy nuclear dynamics is reduction of population transfer between the local minima of the LVC lower energy surface. For the LVC model, we proposed an isometric coordinate transformation that confines non-adiabatic effects within a two-dimensional subsystem interacting with an N ? 2 dimensional environment. Since environmental modes do not couple electronic states, all GP effects originate from nuclear dynamics within the subsystem. We explored when the GP affects nuclear dynamics of the isolated subsystem, and how the subsystem-environment interaction can interfere with GP effects. Comparing quantum dynamics with and without GP allowed us to devise simple rules to determine significance of the GP for nuclear dynamics in this model.
Guiding the Discovery of Open Source Software Processes with a Reference Model
Scacchi, Walt
Guiding the Discovery of Open Source Software Processes with a Reference Model Chris Jensen1 that characterize the process. Keywords. Reference model, open source, process discovery 1 Introduction OSS a reference model based approach for process discovery to assist in coding process evidence to reduce the risk
Discovering Hierarchical Process Models R.P. Jagadeesh Chandra Bose1,2
van der Aalst, Wil
) with domain significance. Keywords: process discovery, process maps, hierarchical models, ab- stractions approach to process discovery and our two-phase approach. Note that the process model (map) discovered the discovery of hi- erarchical process models. In this paper, we demonstrate the discovery of hierar- chical
Discovering Block-Structured Process Models From Event Logs Containing Infrequent Behaviour
van der Aalst, Wil
behaviour, process discovery aims to find a process model that `best' describes this behaviour. A large and bottlenecks [17,15,4]. e d a b c f Figure 1: Unsound process model. The challenge in process discovery infrequent behaviour and challenge discovery algorithms, as a process model scoring well on all quality
Path Coupling and Aggregate Path Coupling
Kovchegov, Yevgeniy
2015-01-01
In this survey paper, we describe and characterize an extension to the classical path coupling method applied statistical mechanical models, referred to as aggregate path coupling. In conjunction with large deviations estimates, we use this aggregate path coupling method to prove rapid mixing of Glauber dynamics for a large class of statistical mechanical models, including models that exhibit discontinuous phase transitions which have traditionally been more difficult to analyze rigorously. The parameter region for rapid mixing for the generalized Curie-Weiss-Potts model is derived as a new application of the aggregate path coupling method.
Path Coupling and Aggregate Path Coupling
Yevgeniy Kovchegov; Peter T. Otto
2015-01-13
In this survey paper, we describe and characterize an extension to the classical path coupling method applied statistical mechanical models, referred to as aggregate path coupling. In conjunction with large deviations estimates, we use this aggregate path coupling method to prove rapid mixing of Glauber dynamics for a large class of statistical mechanical models, including models that exhibit discontinuous phase transitions which have traditionally been more difficult to analyze rigorously. The parameter region for rapid mixing for the generalized Curie-Weiss-Potts model is derived as a new application of the aggregate path coupling method.
Geant4 Model Validation of Compton Suppressed System for Process monitoring of Spent Fuel
Bender, Sarah; Unlu, Kenan; Orton, Christopher R.; Schwantes, Jon M.
2013-05-01
Nuclear material accountancy is of continuous concern for the regulatory, safeguards, and verification communities. In particular, spent nuclear fuel reprocessing facilities pose one of the most difficult accountancy challenges: monitoring highly radioactive, fluid sample streams in near real-time. The Multi-Isotope Process monitor will allow for near-real-time indication of process alterations using passive gamma-ray detection coupled with multivariate analysis techniques to guard against potential material diversion or to enhance domestic process monitoring. The Compton continuum from the dominant 661.7 keV 137Cs fission product peak obscures lower energy lines which could be used for spectral and multivariate analysis. Compton suppression may be able to mitigate the challenges posed by the high continuum caused by scattering. A Monte Carlo simulation using the Geant4 toolkit is being developed to predict the expected suppressed spectrum from spent fuel samples to estimate the reduction in the Compton continuum. Despite the lack of timing information between decay events in the particle management of Geant4, encouraging results were recorded utilizing only the information within individual decays without accounting for accidental coincidences. The model has been validated with single and cascade decay emitters in two steps: as an unsuppressed system and with suppression activated. Results of the Geant4 model validation will be presented.
A Research on Production Optimization of Coupled Surface and Subsurface Model
Iemcholvilert, Sevaphol
2013-07-09
with various reservoir description (homogeneous-low permeability, homogeneous-high permeability, and heterogeneous permeability) and different fluid properties (dead-oil PVT and lived-oil PVT) were performed in order to understand the effect of coupling level...
Improving LER Coupling and PEP-II Luminosity with Model-Independent...
Office of Scientific and Technical Information (OSTI)
Ring, or LER) for collision. The goal of this project was to improve the linear optics of the LER in order to decrease coupling, thereby decreasing emittance and increasing...
Mechanisms of translocation-coupled protein unfolding using anthrax toxin as a model
Thoren, Katie Lynn
2011-01-01
machines harness a source of free energy to drive substratemachines harness a source of free energy to drive unfoldingways in which a source of free energy could be coupled to
Coupling GIS and LCA for biodiversity assessments of land use: Part 1: Inventory modeling
Geyer, Roland; Stoms, David M.; Lindner, Jan P.; Davis, Frank W.; Wittstock, Bastian
2010-01-01
467 DOI 10.1007/s11367-010-0170-9 LAND USE IN LCA CouplingGIS and LCA for biodiversity assessments of land use Part 1:while life cycle assessment (LCA) does not conventionally
Experimental modeling of intergranular exchange coupling for perpendicular thin film media
Laughlin, David E.
does exist in the CoCrPt-oxide layer of present perpendicular thin film media, especially for media to quantitatively determine the ferromagnetic ex- change coupling through an oxide layer as a function of ox- ide
State estimation of the Labrador Sea with a coupled sea ice-ocean adjoint model
Fenty, Ian Gouverneur
2010-01-01
Sea ice (SI) and ocean variability in marginal polar and subpolar seas are closely coupled. SI variability in the Labrador Sea is of climatic interest because of its relationship to deep convection/mode water formation, ...
A Review of Ground Coupled Heat Pump Models Used in Whole-Building Computer Simulation Programs
Do, S. L.; Haberl, J. S.
2010-01-01
Increasingly, building owners are turning to ground source heat pump (GSHP) systems to improve energy efficiency. Ground-coupled heat pump (GCHP) systems with a vertical closed ground loop heat exchanger are one of the more widely used systems. Over...
Gaussian Process Model for Collision Dynamics of Complex Molecules
Cui, Jie
2015-01-01
We show that a Gaussian Process model can be combined with a small number of scattering calculations to provide an accurate multi-dimensional dependence of scattering observables on the experimentally controllable parameters (such as the collision energy, temperature or external fields) as well as the potential energy surface parameters. This can be used for solving the inverse scattering problem, the prediction of collision properties of a specific molecular system based on the information for another molecule, the efficient calculation of thermally averaged observables and for reducing the error of the molecular dynamics calculations by averaging over the potential energy surface variations. We show that, trained by a combination of classical and quantum dynamics calculations, the model provides an accurate description of the scattering cross sections, even near scattering resonances. In this case, the classical calculations stabilize the model against uncertainties arising from wildly varying correlations ...
QCD Power Corrections from a Simple Model for the Running Coupling
B. R. Webber
1998-05-27
A simple parametrization of the QCD running coupling at low scales is introduced and used to illustrate various schemes for the estimation of non-perturbative power corrections. The `infrared matching' scheme proposed earlier gives satisfactory results when combined with next-to-leading (or higher) order perturbative predictions. Estimates based on renormalons are shown to be inconsistent with universal behaviour of the running coupling.
Draxl, C.; Churchfield, M.; Mirocha, J.; Lee, S.; Lundquist, J.; Michalakes, J.; Moriarty, P.; Purkayastha, A.; Sprague, M.; Vanderwende, B.
2014-06-01
Wind plant aerodynamics are influenced by a combination of microscale and mesoscale phenomena. Incorporating mesoscale atmospheric forcing (e.g., diurnal cycles and frontal passages) into wind plant simulations can lead to a more accurate representation of microscale flows, aerodynamics, and wind turbine/plant performance. Our goal is to couple a numerical weather prediction model that can represent mesoscale flow [specifically the Weather Research and Forecasting model] with a microscale LES model (OpenFOAM) that can predict microscale turbulence and wake losses.
Modeling the Vulnerability Discovery Process O. H. Alhazmi and Y. K. Malaiya
Malaiya, Yashwant K.
1 Modeling the Vulnerability Discovery Process O. H. Alhazmi and Y. K. Malaiya Computer Science models for the vulnerability discovery process have just been published recently. Such models will allow of vulnerability exploitation. Here we examine these models for the vulnerability discovery process. The models
Rogers, Simon; Girolami, Mark; Kolch, Walter; Waters, Katrina M.; Liu, Tao; Thrall, Brian D.; Wiley, H. S.
2008-12-01
Modern transcriptomics and proteomics enable us to survey the expression of RNAs and proteins at large scales. While these data are usually generated and analysed separately, there is an increasing interest in comparing and co-analysing transcriptome and proteome expression data. A major open question is whether transcriptome and proteome expression is linked and how it is coordinated. Results: Here we have developed a probabilistic clustering model that permits analysis of the links between transcriptomic and proteomic profiles in a sensible and flexible manner. Our coupled mixture model defines a prior probability distribution over the component to which a protein profile should be assigned conditioned on which component the associated mRNA profile belongs to. By providing probabilistic assignments this approach sits between the two extremes of concatenating the data on the assumption that mRNA and protein clusters would have a one-to-one relationship, and independent clustering where the mRNA profile provides no information on the protein profile and vice-versa. We apply this approach to a large dataset of quantitative transcriptomic and proteomic expression data obtained from a human breast epithelial cell line (HMEC) stimulated by epidermal growth factor (EGF) over a series of timepoints corresponding to one cell cycle. The results reveal a complex relationship between transcriptome and proteome with most mRNA clusters linked to at least two protein clusters, and vice versa. A more detailed analysis incorporating information on gene function from the gene ontology database shows that a high correlation of mRNA and protein expression is limited to the components of some molecular machines, such as the ribosome, cell adhesion complexes and the TCP-1 chaperonin involved in protein folding. Conclusions: The dynamic regulation of the transcriptome and proteome in mammalian cells in response to an acute mitogenic stimulus appears largely independent with very little correspondence between mRNA and protein expression. The exceptions involve a few selected multi-protein complexes that require the stoichiometric expression of components for correct function. This finding has wide ramifications regarding the understanding of gene and protein expression including its control and evolution. It also shows that transcriptomic and proteomic expression analysis are complementary and non-redundant.
Multiscale Modeling, Simulation and Control of Protein Crystallization Processes
Nayhouse, Michael Jeffrey
2015-01-01
Stochastic simulation of chemical kinetics. Annu. Rev. Phys.in protein crystal growth. Chemical Engineering Science, 87:time evolution of coupled chemical reactions. J. Comput.
Preliminary time-phased TWRS process model results
Orme, R.M.
1995-03-24
This report documents the first phase of efforts to model the retrieval and processing of Hanford tank waste within the constraints of an assumed tank farm configuration. This time-phased approach simulates a first try at a retrieval sequence, the batching of waste through retrieval facilities, the batching of retrieved waste through enhanced sludge washing, the batching of liquids through pretreatment and low-level waste (LLW) vitrification, and the batching of pretreated solids through high-level waste (HLW) vitrification. The results reflect the outcome of an assumed retrieval sequence that has not been tailored with respect to accepted measures of performance. The batch data, composition variability, and final waste volume projects in this report should be regarded as tentative. Nevertheless, the results provide interesting insights into time-phased processing of the tank waste. Inspection of the composition variability, for example, suggests modifications to the retrieval sequence that will further improve the uniformity of feed to the vitrification facilities. This model will be a valuable tool for evaluating suggested retrieval sequences and establishing a time-phased processing baseline. An official recommendation on tank retrieval sequence will be made in September, 1995.
Model choice considerations and information integration using analytical hierarchy process
Langenbrunner, James R [Los Alamos National Laboratory; Hemez, Francois M [Los Alamos National Laboratory; Booker, Jane M [BOOKER SCIENTIFIC; Ross, Timothy J. [UNM
2010-10-15
Using the theory of information-gap for decision-making under severe uncertainty, it has been shown that model output compared to experimental data contains irrevocable trade-offs between fidelity-to-data, robustness-to-uncertainty and confidence-in-prediction. We illustrate a strategy for information integration by gathering and aggregating all available data, knowledge, theory, experience, similar applications. Such integration of information becomes important when the physics is difficult to model, when observational data are sparse or difficult to measure, or both. To aggregate the available information, we take an inference perspective. Models are not rejected, nor wasted, but can be integrated into a final result. We show an example of information integration using Saaty's Analytic Hierarchy Process (AHP), integrating theory, simulation output and experimental data. We used expert elicitation to determine weights for two models and two experimental data sets, by forming pair-wise comparisons between model output and experimental data. In this way we transform epistemic and/or statistical strength from one field of study into another branch of physical application. The price to pay for utilizing all available knowledge is that inferences drawn for the integrated information must be accounted for and the costs can be considerable. Focusing on inferences and inference uncertainty (IU) is one way to understand complex information.
Model and Analytic Processes for Export License Assessments
Thompson, Sandra E.; Whitney, Paul D.; Weimar, Mark R.; Wood, Thomas W.; Daly, Don S.; Brothers, Alan J.; Sanfilippo, Antonio P.; Cook, Diane; Holder, Larry
2011-09-29
This paper represents the Department of Energy Office of Nonproliferation Research and Development (NA-22) Simulations, Algorithms and Modeling (SAM) Program's first effort to identify and frame analytical methods and tools to aid export control professionals in effectively predicting proliferation intent; a complex, multi-step and multi-agency process. The report focuses on analytical modeling methodologies that alone, or combined, may improve the proliferation export control license approval process. It is a follow-up to an earlier paper describing information sources and environments related to international nuclear technology transfer. This report describes the decision criteria used to evaluate modeling techniques and tools to determine which approaches will be investigated during the final 2 years of the project. The report also details the motivation for why new modeling techniques and tools are needed. The analytical modeling methodologies will enable analysts to evaluate the information environment for relevance to detecting proliferation intent, with specific focus on assessing risks associated with transferring dual-use technologies. Dual-use technologies can be used in both weapons and commercial enterprises. A decision-framework was developed to evaluate which of the different analytical modeling methodologies would be most appropriate conditional on the uniqueness of the approach, data availability, laboratory capabilities, relevance to NA-22 and Office of Arms Control and Nonproliferation (NA-24) research needs and the impact if successful. Modeling methodologies were divided into whether they could help micro-level assessments (e.g., help improve individual license assessments) or macro-level assessment. Macro-level assessment focuses on suppliers, technology, consumers, economies, and proliferation context. Macro-level assessment technologies scored higher in the area of uniqueness because less work has been done at the macro level. An approach to developing testable hypotheses for the macro-level assessment methodologies is provided. The outcome of this works suggests that we should develop a Bayes Net for micro-level analysis and continue to focus on Bayes Net, System Dynamics and Economic Input/Output models for assessing macro-level problems. Simultaneously, we need to develop metrics for assessing intent in export control, including the risks and consequences associated with all aspects of export control.
Casana, Rodolfo; Mota, Alexsandro Lucena
2015-01-01
We have studied the existence of topological self-dual vortices in a nonminimal CPT-odd and Lorentz-violating Maxwell-Higgs model. The Lorentz-violating nonminimal interaction is introduced via a modification of the usual covariant derivative coupling the Higgs and the gauge sectors. The self-dual solutions behave similarly to the Abrikosov-Nielsen-Olesen vortices, are electrically neutral and their total energy is proportional to the quantized magnetic flux.
Jensen, M; Johnson, K; Mather, J; Randall, D
2008-03-01
In 2008, the Atmospheric Radiation Measurement (ARM) Program and the Climate Change Prediction Program (CCPP) have been asked to produce joint science metrics. For CCPP, the metrics will deal with a decade-long control simulation using geodesic grid-coupled climate model. For ARM, the metrics will deal with observations associated with the 2006 deployment of the ARM Mobile Facility (AMF) to Niamey, Niger. Specifically, ARM has been asked to deliver data products for Niamey that describe cloud, aerosol, and dust properties.
Winter, Jonathan (Jonathan Mark)
2010-01-01
This dissertation seeks to quantify the response of soil moisture to climate change in the midwestern United States. To assess this response, a dynamic global vegetation model, Integrated Biosphere Simulator, was coupled ...
Systematic assessment of terrestrial biogeochemistry in coupled climate-carbon models
2009-01-01
coming from earth system models performing simulations forecological and earth system observations. Model results fromEarth System Grid. Keywords: ameriflux, atmospheric tracer transport model
Report on Modeling Coupled Processes in the Near Field of a Clay Repository
Liu, H.-H.
2014-01-01
J-C. (2002) Geological and hydraulic characterization of thegeological, hydrogeological, geochemical, and geotechnical characterization
Coupling socio-economic factors and eco-hydrological processes using a cascade-modeling
Upstream Population Downstream Basin population #12;Upstream LULC #12;Downstream LULC #12;#12;0 200 400 600 grassland horticulture shrubland water woodland Area(km2) Upstream LULC 1973 1986 1995 2011 #12;Concept & Method Reiners and Driese (2001) #12;Cascade 1 #12;Downstream population Water abstraction Lake storage
Samper, Javier; Molinero, Jorg; Changbing, Yang; Zhang, Guoxiang
2003-01-01
Geochemistry, 14, 893–905. Pourbaix M, 1945. Ph.D. Thesis.Hogeschool Delft. The Netherlands Pourbaix M, Zubov N, 1963.d'Equilibres Electrochimiques (Pourbaix, M. Ed. ). Gauthier-
Report on Modeling Coupled Processes in the Near Field of a Clay Repository
Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site
AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Delicious RankADVANCED MANUFACTURINGEnergy BillsNo. 195 - Oct.7, 2015Verizon and VerizonCells: S. DEPARTMENT OF|
Business Modelling is not Process Modelling Jaap Gordijn12, Hans Akkermans13, and Hans van Vliet1
van Vliet, Hans
Business Modelling is not Process Modelling Jaap Gordijn12, Hans Akkermans13, and Hans van Vliet1 1 with a design of the e-business model. We often encounter the view, in research as well as industry practice, that an e-business model is similar to a business process model, and so can be specified using UML activity
Efficacy-aware Business Process Modeling Matthias Lohrmann and Manfred Reichert
Ulm, Universität
Efficacy-aware Business Process Modeling Matthias Lohrmann and Manfred Reichert Ulm University. In business process design, business objective models can ful- fill the role of formal requirement definitions for progressive appli- cations like automated process optimization. Key words: Business Process Modeling
NEUTRINO-COOLED ACCRETION MODEL WITH MAGNETIC COUPLING FOR X-RAY FLARES IN GAMMA-RAY BURSTS
Luo Yang; Gu Weimin; Liu Tong; Lu Jufu, E-mail: guwm@xmu.edu.cn [Department of Astronomy and Institute of Theoretical Physics and Astrophysics, Xiamen University, Xiamen, Fujian 361005 (China)
2013-08-20
The neutrino-cooled accretion disk, which was proposed to work as the central engine of gamma-ray bursts, encounters difficulty in interpreting the X-ray flares after the prompt gamma-ray emission. In this paper, the magnetic coupling (MC) between the inner disk and the central black hole (BH) is taken into consideration. For mass accretion rates around 0.001 {approx} 0.1 M{sub Sun} s{sup -1}, our results show that the luminosity of neutrino annihilation can be significantly enhanced due to the coupling effects. As a consequence, after the gamma-ray emission, a remnant disk with mass M{sub disk} {approx}< 0.5 M{sub Sun} may power most of the observed X-ray flares with the rest frame duration less than 100 s. In addition, a comparison between the MC process and the Blandford-Znajek mechanism is shown on the extraction of BH rotational energy.
Response of the global coupled climate model CLIMBER-3 to ENSO variability
Goelzer, Heiko
behaviour of the ZC leads to phases of constant El Nino with following enhanced THC strength. #12; in the Nino3 region as simulated by ZC (black) and forced in C3a (red). The coupling parameters have been chosen to minimize the RMS between ZC and C3a in the entire ZC region. Covariance of Nino3 and SOI
Model operating permits for natural gas processing plants
Arend, C. [Hydro-Search, Inc., Houston, TX (United States)
1995-12-31
Major sources as defined in Title V of the Clean Air Act Amendments of 1990 that are required to submit an operating permit application will need to: Evaluate their compliance status; Determine a strategic method of presenting the general and specific conditions of their Model Operating Permit (MOP); Maintain compliance with air quality regulations. A MOP is prepared to assist permitting agencies and affected facilities in the development of operating permits for a specific source category. This paper includes a brief discussion of example permit conditions that may be applicable to various types of Title V sources. A MOP for a generic natural gas processing plant is provided as an example. The MOP should include a general description of the production process and identify emission sources. The two primary elements that comprise a MOP are: Provisions of all existing state and/or local air permits; Identification of general and specific conditions for the Title V permit. The general provisions will include overall compliance with all Clean Air Act Titles. The specific provisions include monitoring, record keeping, and reporting. Although Title V MOPs are prepared on a case-by-case basis, this paper will provide a general guideline of the requirements for preparation of a MOP. Regulatory agencies have indicated that a MOP included in the Title V application will assist in preparation of the final permit provisions, minimize delays in securing a permit, and provide support during the public notification process.
SEISMIC: A Self-Exciting Point Process Model for Predicting Tweet Popularity
Bejerano, Gill
SEISMIC: A Self-Exciting Point Process Model for Predicting Tweet Popularity Qingyuan Zhao Stanford: Algorithms; Experimentation. Keywords: information diffusion; cascade prediction; self-exciting point process
Diagnostics and modeling of plasma processes in ion sources
Vertes, Akos
radiation (inductively coupled plasma (ICI'), microwave-induced plasma (MU'), pulsed laser). The present-8), radiofrequency (9) and microwave ion sources (10-12) are under intense investigation. Diligent research
Hoffman, Forrest M.
often referred to as Earth System Models (ESMs). While a number of terrestrial and ocean carbon models
Di Vittorio, Alan; Chini, Louise M.; Bond-Lamberty, Benjamin; Mao, Jiafu; Shi, Xiaoying; Truesdale, John E.; Craig, Anthony P.; Calvin, Katherine V.; Jones, Andrew D.; Collins, William D.; Edmonds, James A.; Hurtt, George; Thornton, Peter E.; Thomson, Allison M.
2014-11-27
Climate projections depend on scenarios of fossil fuel emissions and land use change, and the IPCC AR5 parallel process assumes consistent climate scenarios across Integrated Assessment and Earth System Models (IAMs and ESMs). To facilitate consistency, CMIP5 used a novel land use harmonization to provide ESMs with seamless, 1500-2100 land use trajectories generated by historical data and four IAMs. However, we have identified and partially addressed a major gap in the CMIP5 land coupling design. The CMIP5 Community ESM (CESM) global afforestation is only 22% of RCP4.5 afforestation from 2005 to 2100. Likewise, only 17% of the Global Change Assessment Model’s (GCAM’s) 2040 RCP4.5 afforestation signal, and none of the pasture loss, were transmitted to CESM within a newly integrated model. This is a critical problem because afforestation is necessary for achieving the RCP4.5 climate stabilization. We attempted to rectify this problem by modifying only the ESM component of the integrated model, enabling CESM to simulate 66% of GCAM’s afforestation in 2040, and 94% of GCAM’s pasture loss as grassland and shrubland losses. This additional afforestation increases vegetation carbon gain by 19 PgC and decreases atmospheric CO2 gain by 8 ppmv from 2005 to 2040, implying different climate scenarios between CMIP5 GCAM and CESM. Similar inconsistencies likely exist in other CMIP5 model results, primarily because land cover information is not shared between models, with possible contributions from afforestation exceeding model-specific, potentially viable forest area. Further work to harmonize land cover among models will be required to adequately rectify this problem.
Daurelle, J.V.; Topin, F.; Occelli, R. [IUSTI, Marseille (France)
1998-01-01
The physical model is based on balance equations at the representative elementary volume. The considered medium has three phases (liquid, solid, and gas). The gas phase includes two components (air and vapor). The authors use the mass balance equations on air and water (liquid and steam) as well as the heat equation in order to describe the phenomena. The system of equations is closed via classical relations in these media, which leads to a three-equation system with coupled nonlinear partial derivatives. The authors have applied this model to superheated steam drying. A solution model of the coupled nonlinear equation system based on the finite element method in a two-dimensional configuration was developed and validated. This approach allows one to determine all the variables of the problem. It is a complementary tool of analysis that opens access to nonmeasurable variables, such as the phase change rate. This computation model was applied to a configuration studied experimentally. The numerical and experimental results agree in nondimensional time. This double approach has enabled them to point out and evaluate new mechanisms typical of this drying method.
E. Brezin; S. Hikami
1992-04-08
In the usual matrix-model approach to random discretized two-dimensional manifolds, one introduces n Ising spins on each cell, i.e. a discrete version of 2D quantum gravity coupled to matter with a central charge n/2. The matrix-model consists then of an integral over $2^{n}$ matrices, which we are unable to solve for $n>1$. However for a fixed genus we can expand in the cosmological constant g for arbitrary values of n, and a simple minded analysis of the series yields for n=0,1 and 2 the expected results for the exponent $\\gamma_{string}$ with an amazing precision given the small number of terms that we considered. We then proceed to larger values of n. Simple tests of universality are successfully applied; for instance we obtain the same exponents for n=3 or for one Ising model coupled to a one dimensional target space. The calculations are easily extended to states Potts models, through an integration over $q^{n}$ matrices. We see no sign of the tachyonic instability of the theory, but we have only considered genus zero at this stage.
The Representation of Social Processes by Markov Models Burton Singer; Seymour Spilerman
Fienberg, Stephen E.
The Representation of Social Processes by Markov Models Burton Singer; Seymour Spilerman Models1 Burton Singer Columbia University Seymour Spilerman University of Wisconsin-Madison In this paper
Towards the Prediction of Decadal to Centennial Climate Processes...
Office of Scientific and Technical Information (OSTI)
Technical Report: Towards the Prediction of Decadal to Centennial Climate Processes in the Coupled Earth System Model Citation Details In-Document Search Title: Towards the...
Air pollution modelling using a graphics processing unit with CUDA
Molnar, Ferenc; Meszaros, Robert; Lagzi, Istvan; 10.1016/j.cpc.2009.09.008
2010-01-01
The Graphics Processing Unit (GPU) is a powerful tool for parallel computing. In the past years the performance and capabilities of GPUs have increased, and the Compute Unified Device Architecture (CUDA) - a parallel computing architecture - has been developed by NVIDIA to utilize this performance in general purpose computations. Here we show for the first time a possible application of GPU for environmental studies serving as a basement for decision making strategies. A stochastic Lagrangian particle model has been developed on CUDA to estimate the transport and the transformation of the radionuclides from a single point source during an accidental release. Our results show that parallel implementation achieves typical acceleration values in the order of 80-120 times compared to CPU using a single-threaded implementation on a 2.33 GHz desktop computer. Only very small differences have been found between the results obtained from GPU and CPU simulations, which are comparable with the effect of stochastic tran...
Adaptive model predictive process control using neural networks
Buescher, Kevin L. (Los Alamos, NM); Baum, Christopher C. (Mazomanie, WI); Jones, Roger D. (Espanola, NM)
1997-01-01
A control system for controlling the output of at least one plant process output parameter is implemented by adaptive model predictive control using a neural network. An improved method and apparatus provides for sampling plant output and control input at a first sampling rate to provide control inputs at the fast rate. The MPC system is, however, provided with a network state vector that is constructed at a second, slower rate so that the input control values used by the MPC system are averaged over a gapped time period. Another improvement is a provision for on-line training that may include difference training, curvature training, and basis center adjustment to maintain the weights and basis centers of the neural in an updated state that can follow changes in the plant operation apart from initial off-line training data.
Adaptive model predictive process control using neural networks
Buescher, K.L.; Baum, C.C.; Jones, R.D.
1997-08-19
A control system for controlling the output of at least one plant process output parameter is implemented by adaptive model predictive control using a neural network. An improved method and apparatus provides for sampling plant output and control input at a first sampling rate to provide control inputs at the fast rate. The MPC system is, however, provided with a network state vector that is constructed at a second, slower rate so that the input control values used by the MPC system are averaged over a gapped time period. Another improvement is a provision for on-line training that may include difference training, curvature training, and basis center adjustment to maintain the weights and basis centers of the neural in an updated state that can follow changes in the plant operation apart from initial off-line training data. 46 figs.
Development of an equipment management model to improve effectiveness of processes
Chang, H. S.; Ju, T. Y.; Song, T. Y.
2012-07-01
The nuclear industries have developed and are trying to create a performance model to improve effectiveness of the processes implemented at nuclear plants in order to enhance performance. Most high performing nuclear stations seek to continually improve the quality of their operations by identifying and closing important performance gaps. Thus, many utilities have implemented performance models adjusted to their plant's configuration and have instituted policies for such models. KHNP is developing a standard performance model to integrate the engineering processes and to improve the inter-relation among processes. The model, called the Standard Equipment Management Model (SEMM), is under development first by focusing on engineering processes and performance improvement processes related to plant equipment used at the site. This model includes performance indicators for each process that can allow evaluating and comparing the process performance among 21 operating units. The model will later be expanded to incorporate cost and management processes. (authors)
Lu, Zhiming
Pajarito Plateau Groundwater Flow and Transport Modeling 1 Process-Level and Systems Models of Groundwater Flow and Transport Beneath the Pajarito Plateau: Migration of High Explosives from Technical Area Groundwater Modeling Project Systems Model Vadose Zone Model Regional Aquifer Model #12;Pajarito Plateau
MODELING RESULTS FROM CESIUM ION EXCHANGE PROCESSING WITH SPHERICAL RESINS
Nash, C.; Hang, T.; Aleman, S.
2011-01-03
Ion exchange modeling was conducted at the Savannah River National Laboratory to compare the performance of two organic resins in support of Small Column Ion Exchange (SCIX). In-tank ion exchange (IX) columns are being considered for cesium removal at Hanford and the Savannah River Site (SRS). The spherical forms of resorcinol formaldehyde ion exchange resin (sRF) as well as a hypothetical spherical SuperLig{reg_sign} 644 (SL644) are evaluated for decontamination of dissolved saltcake wastes (supernates). Both SuperLig{reg_sign} and resorcinol formaldehyde resin beds can exhibit hydraulic problems in their granular (nonspherical) forms. SRS waste is generally lower in potassium and organic components than Hanford waste. Using VERSE-LC Version 7.8 along with the cesium Freundlich/Langmuir isotherms to simulate the waste decontamination in ion exchange columns, spherical SL644 was found to reduce column cycling by 50% for high-potassium supernates, but sRF performed equally well for the lowest-potassium feeds. Reduced cycling results in reduction of nitric acid (resin elution) and sodium addition (resin regeneration), therefore, significantly reducing life-cycle operational costs. These findings motivate the development of a spherical form of SL644. This work demonstrates the versatility of the ion exchange modeling to study the effects of resin characteristics on processing cycles, rates, and cold chemical consumption. The value of a resin with increased selectivity for cesium over potassium can be assessed for further development.
Multiscale modeling of spatially variable water and energy balance processes
Famiglietti, JS; Wood, EF
1994-01-01
MULTISCALE WATER AND ENERGY BALANCE MODELING Wood, E. F. ,MULTISCALE WATER AND ENERGY BALANCE MODELING cess runoff,models of water and energy balance, Ph.D. dissertation,
Cohen, Israel
IEEE SIGNAL PROCESSING LETTERS, VOL. 11, NO. 7, JULY 2004 613 Identification of Speech Source variance is achievable. Index Terms--Array signal processing, speech enhancement, system identification. I between sensors in response to a desired speech signal. In this letter, a system identification approach
Digital neural network-based modeling technique for extrusion processes
Jang, Won-Hyouk
2001-01-01
Food extrusion processes are becoming critical in the production of novel nutritional food products, whereas the design of advanced process control, monitoring and diagnostics systems has not been actively pursued in the food processing industry...
Micromagnetic modeling and analysis for memory and processing applications
Lubarda, Marko V.
2012-01-01
simulating thermal activation processes over energy barriersthermal fluc- tuations: Basic phenomenology, fast remagnetization processes and transitions over high-energythermal energy over a delivery area factors smaller than what would be allowed by conventional diffraction-limited processes.
Channel modeling, signal processing and coding for perpendicular magnetic recording
Wu, Zheng
2009-01-01
1.2 Signal Processing and Coding Techniques in ReadCRC Handbook for Coding and Signal Processing for RecordingCRC Handbook for Coding and Signal Processing for Recording
Integrated Modeling of Process-and Data-Centric Software Systems with PHILharmonicFlows
Ulm, Universität
Integrated Modeling of Process- and Data-Centric Software Systems with PHILharmonicFlows Carolina--Process- and data-centric software systems require a tight integration of processes, functions, data, and users methodological guidance for modeling large process- and data-centric software systems based on PHILharmonic
A Logistic Branching Process Alternative to the Wright-Fisher Model R. B. Campbell
Campbell, Russell Bruce
A Logistic Branching Process Alternative to the Wright-Fisher Model R. B. Campbell Department://www.math.uni.edu/campbell (319) 273-2447 Running head: Logistic Branching Process Keywords: Branching Process, Coalescent approximation to the Wright-Fisher model. A logistic branching process is introduced in order to limit
Scacchi, Walt
of automated process discovery and modeling mechanisms that can be applied to Web-based software development projects. Keywords: Automated Process Discovery, Process Modeling and Simulation, Open Source SoftwareSimulating an Automated Approach to Discovery and Modeling of Open Source Software Development
Scacchi, Walt
Process Discovery, Process Modeling and Simulation, Open Source Software Development 1. Introduction to that can more readily facilitate process discovery and modeling. In our approach, we identify the kindsSimulating an Automated Approach to Discovery and Modeling of Open Source Software Development
A Model-driven Approach to Designing Cross-enterprise Business Processes
Bauer, Bernhard
A Model-driven Approach to Designing Cross- enterprise Business Processes Bernhard Bauer1, Jörg P.p.mueller@siemens.com Abstract. Modeling and managing business processes that span multiple or- ganizations involves new for interoperability. In this paper, we present an approach to modeling cross-enterprise business processes based
A Pattern-based Approach to Business Process Modeling and Implementation in Web Services
Bordbar, Behzad
A Pattern-based Approach to Business Process Modeling and Implementation in Web Services Steen are used for tool based model transformations of the business processes. To support our approach, we shall effort of different groups of experts; business analysts model the process at a high conceptual level
A Conceptually Rich Model of Business Process Compliance Guido Governatori Antonino Rotolo
Governatori, Guido
A Conceptually Rich Model of Business Process Compliance Guido Governatori Antonino Rotolo NICTA a suitable language for business process modeling able to automate and optimise business proce- dures) and further inves- tigate how to model compliance in business processes. In (Governatori & Rotolo 2008a) we
Freddy Cueva Solano
2015-04-19
In this work we study the effects of the non-gravitational exchange energy (Q) between dark matter (DM) fluid and dark energy (DE) fluid on the background evolution of the cosmological parameters. A varying equation of state (EOS) parameter, {\\omega}, for DE is proposed. Considering an universe spatially flat, two distinct coupled models were examined to explore the main cosmological effects generated by the simultaneous reconstruction of Q and {\\omega} on the shape of the jerk parameter, j, through a slight enhancement or suppression of their amplitudes with respect to noncoupled scenarios, during its evolution from the past to the near future. In consequence, j could be used to distinguish any coupled DE models. Otherwise, the observational data were used to put stringent constraints on Q and {\\omega}, respectively. In such a way, we used our results as evidences to search possible deviations from the standard concordance model ({\\Lambda}CDM), examining their predictions and improving our knowledge of the cosmic evolution of the universe.
Application of Gaussian Process Modeling to Analysis of Functional Unreliability
R. Youngblood
2014-06-01
This paper applies Gaussian Process (GP) modeling to analysis of the functional unreliability of a “passive system.” GPs have been used widely in many ways [1]. The present application uses a GP for emulation of a system simulation code. Such an emulator can be applied in several distinct ways, discussed below. All applications illustrated in this paper have precedents in the literature; the present paper is an application of GP technology to a problem that was originally analyzed [2] using neural networks (NN), and later [3, 4] by a method called “Alternating Conditional Expectations” (ACE). This exercise enables a multifaceted comparison of both the processes and the results. Given knowledge of the range of possible values of key system variables, one could, in principle, quantify functional unreliability by sampling from their joint probability distribution, and performing a system simulation for each sample to determine whether the function succeeded for that particular setting of the variables. Using previously available system simulation codes, such an approach is generally impractical for a plant-scale problem. It has long been recognized, however, that a well-trained code emulator or surrogate could be used in a sampling process to quantify certain performance metrics, even for plant-scale problems. “Response surfaces” were used for this many years ago. But response surfaces are at their best for smoothly varying functions; in regions of parameter space where key system performance metrics may behave in complex ways, or even exhibit discontinuities, response surfaces are not the best available tool. This consideration was one of several that drove the work in [2]. In the present paper, (1) the original quantification of functional unreliability using NN [2], and later ACE [3], is reprised using GP; (2) additional information provided by the GP about uncertainty in the limit surface, generally unavailable in other representations, is discussed; (3) a simple forensic exercise is performed, analogous to the inverse problem of code calibration, but with an accident management spin: given an observation about containment pressure, what can we say about the system variables? References 1. For an introduction to GPs, see (for example) Gaussian Processes for Machine Learning, C. E. Rasmussen and C. K. I. Williams (MIT, 2006). 2. Reliability Quantification of Advanced Reactor Passive Safety Systems, J. J. Vandenkieboom, PhD Thesis (University of Michigan, 1996). 3. Z. Cui, J. C. Lee, J. J. Vandenkieboom, and R. W. Youngblood, “Unreliability Quantification of a Containment Cooling System through ACE and ANN Algorithms,” Trans. Am. Nucl. Soc. 85, 178 (2001). 4. Risk and Safety Analysis of Nuclear Systems, J. C. Lee and N. J. McCormick (Wiley, 2011). See especially §11.2.4.
Process-Based Cost Modeling to Support Target Value Design
Nguyen, Hung Viet
2010-01-01
and waste that prevail in construction processes, especiallywaste, and maximize efficiency through all phases of design, fabrication, and construction” (and wastes which are inherent in construction processes,
A model for coupling within-host and between-host dynamics in an ...
2011-12-20
that involves disease transmission between hosts, and the other is the immunological process related to the virus-cell interaction at the level of an individual host ...
JH Mather; DA Randall; CJ Flynn
2008-06-30
In 2008, the Atmospheric Radiation Measurement (ARM) Program and the Climate Change Prediction Program (CCPP) have been asked to produce joint science metrics. For CCPP, the metrics will deal with a decade-long control simulation using geodesic grid-coupled climate model. For ARM, the metrics will deal with observations associated with the 2006 deployment of the ARM Mobile Facility (AMF) to Niamey, Niger. Specifically, ARM has been asked to deliver data products for Niamey that describe cloud, aerosol, and dust properties. This report describes the aerosol optical depth (AOD) product.
A Multiscale Model for Coupled Heat Conduction and Deformations of Viscoelastic Composites
Khan, Kamran Ahmed
2012-07-16
This study introduces a multiscale model for analyzing nonlinear thermo-viscoelastic responses of particulate composites. A simplified micromechanical model consisting of four sub-cells, i.e., one particle and three matrix ...
ORIGINAL ARTICLE A Constitutive Model For the Warp-Weft Coupled Non-linear
Reddy, Batmanathan Dayanand "Daya"
) on the development of airship fabrics. However, the first real model for fabric forces was presented by Peirce (1937
Deymier, Pierre
Modeling the coupling of reaction kinetics and hydrodynamics in a collapsing cavity Sudib K. Mishra Available online 22 May 2009 Keywords: Cavitation Reaction Multiphase Lattice Boltzmann Model Stochastic a b s t r a c t We introduce a model of cavitation based on the multiphase Lattice Boltzmann method (LBM
Towards a physics-based modelling of the electro-mechanical coupling in EAPs
Noy Cohen; Andreas Menzel; Gal deBotton
2015-02-03
Due to the increasing number of industrial applications of electro-active polymers (EAPs), there is a growing need for electromechanical models which accurately capture their behavior. To this end, we compare the predicted behavior of EAPs undergoing homogenous deformations according to three electromechanical models. The first model is a continuum based model composed of the mechanical Gent model and a linear relationship between the electric field and the polarization. The electrical and the mechanical responses according to the second model are based on the polymer microstructure, whereas the third model incorporates a neo-Hookean mechanical response and a microstructural based long-chains model for the electrical behavior. In the microstructural motivated models the integration from the microscopic to the macroscopic levels is accomplished by the micro-sphere technique. Four types of homogeneous boundary conditions are considered and the behaviors determined according to the three models are compared. The differences between the predictions of the models are discussed, highlighting the need for an in-depth investigation of the relations between the structure and the behaviors of the EAPs at microscopic level and their overall macroscopic response.
A Categorization of Collaborative Business Process Modeling Techniques Stephan Roser, Bernhard Bauer
Bauer, Bernhard
A Categorization of Collaborative Business Process Modeling Techniques Stephan Roser, Bernhard [roser, bauer]@informatik.uni-augsburg.de Abstract Business Process Modeling (BPM) is one of the key a categorization for the classification of modeling languages and ap- proaches used to model collaborative business
Skogestad, Sigurd
Sensitivity Analysis of Optimal Operation of an Activated Sludge Process Model for Economic operation conducted on an activated sludge process model based on the test-bed benchmark simulation model no. 1 (BSM1) and the activated sludge model no. 1 (ASM1). The objective is to search for a control
A Nash equilibrium macroscopic closure for kinetic models coupled with Mean-Field Games
Pierre Degond; Jian-Guo Liu; Christian Ringhofer
2012-12-26
We introduce a new mean field kinetic model for systems of rational agents interacting in a game theoretical framework. This model is inspired from non-cooperative anonymous games with a continuum of players and Mean-Field Games. The large time behavior of the system is given by a macroscopic closure with a Nash equilibrium serving as the local thermodynamic equilibrium. An application of the presented theory to a social model (herding behavior) is discussed.
Emerging disease dynamics in a model coupling within-host and ...
Xiuli Cen
2014-08-27
Aug 2, 2014 ... Immunological models consider the within-host dynamics independent of the interactions between hosts (e.g., De Leenheer and Smith, 2003;.
A turbulent transport network model in MULTIFLUX coupled with TOUGH2
Danko, G.
2012-01-01
Models. Journal of Nuclear Technology, July 2010, Vol. 171,Yucca Mountain. Journal of Nuclear Technology, July, 163. 5.Mountain. Journal of Nuclear Technology, July, Vol. 163, pp.
A turbulent transport network model in MULTIFLUX coupled with TOUGH2
Danko, G.
2012-01-01
sm -vapor flux in superheated steam form P v -partial vaportransport lines, for superheated steam removal, with 454of moisture in superheated steam form. The convective model
A Continuum Coupled Moisture-mechanical Constitutive Model for Asphalt Concrete
Shakiba, Maryam
2013-12-09
The presence and flow of moisture degrade engineering properties of asphalt concrete as part of thermodynamic, chemical, physical, and mechanical processes. This detrimental effect is referred to as moisture damage. The aim of this dissertation...
Bates, Richard Burton
2012-01-01
Torrefaction is a thermal pretreatment process which improves the energy density, storage, grinding, and handling characteristics of raw biomass. Research efforts to date have focused on empirical measurements of the fuel ...
A turbulent transport network model in MULTIFLUX coupled with TOUGH2
Danko, G.
2012-01-01
Near-Field TH Processes at Yucca Mountain. Proceedings, 11thEmplacement Tunnels at Yucca Mountain. Journal of Nuclearand condensation. Yucca Mountain Project Report, MDL-EBS-MD-
Geometric optics for a coupling model of the electromagnetic and gravitational fields
Jiliang Jing; Songbai Chen; Qiyuan Pan
2015-10-20
The coupling between the electromagnetic and gravitational fields results in "faster than light" photons and invalids the Lorentz invariance and some laws of physics. A typical example is that the first and third laws of geometric optics are invalid in the usual spacetime. By introducing an effective spacetime, we find that the wave vector can be casted into null and then it obeys the geodesic equation, the polarization vector is perpendicular to the rays, and the number of photons is conserved. That is to say, the laws of geometric optics are still valid for the modified theory in the effective spacetime. We also show that the focusing theorem of light rays for the modified theory in the effective spacetime takes the same form as usual.
Development of Global Sea Ice 6.0 CICE configuration for the Met Office Global Coupled Model
Rae, J. G. L. [Met Office Hadley Centre; Hewitt, H. T. [Met Office Hadley Centre; Keen, A. B. [Met Office Hadley Centre; Ridley, J. K. [Met Office Hadley Centre; West, A. E. [Met Office Hadley Centre; Harris, C. M. [Met Office Hadley Centre; Hunke, E. C. [Los Alamos National Laboratory, Los Alamos, NM 87545, USA; Walters, D. N. [Met Office Hadley Centre
2015-01-01
The new sea ice configuration GSI6.0, used in the Met Office global coupled configuration GC2.0, is described and the sea ice extent, thickness and volume are compared with the previous configuration and with observationally-based datasets. In the Arctic, the sea ice is thicker in all seasons than in the previous configuration, and there is now better agreement of the modelled concentration and extent with the HadISST dataset. In the Antarctic, a warm bias in the ocean model has been exacerbated at the higher resolution of GC2.0, leading to a large reduction in ice extent and volume; further work is required to rectify this in future configurations.
Development of global sea ice 6.0 CICE configuration for the Met Office global coupled model
DOE Public Access Gateway for Energy & Science Beta (PAGES Beta)
Rae, J. . G. L; Hewitt, H. T.; Keen, A. B.; Ridley, J. K.; West, A. E.; Harris, C. M.; Hunke, E. C.; Walters, D. N.
2015-03-05
The new sea ice configuration GSI6.0, used in the Met Office global coupled configuration GC2.0, is described and the sea ice extent, thickness and volume are compared with the previous configuration and with observationally-based datasets. In the Arctic, the sea ice is thicker in all seasons than in the previous configuration, and there is now better agreement of the modelled concentration and extent with the HadISST dataset. In the Antarctic, a warm bias in the ocean model has been exacerbated at the higher resolution of GC2.0, leading to a large reduction in ice extent and volume; further work is requiredmore »to rectify this in future configurations.« less
Ionel-Dumitrel Ghiba; Patrizio Neff; Angela Madeo; Ingo Münch
2015-04-03
In this paper we venture a new look at the linear isotropic indeterminate couple stress model in the general framework of second gradient elasticity and we propose a new alternative formulation which obeys Cauchy-Boltzmann's axiom of the symmetry of the force stress tensor. For this model we prove the existence of solutions for the equilibrium problem. Relations with other gradient elastic theories and the possibility to switch from a {4th order} (gradient elastic) problem to a 2nd order micromorphic model are also discussed with a view of obtaining symmetric force-stress tensors. It is shown that the indeterminate couple stress model can be written entirely with symmetric force-stress and symmetric couple-stress. The difference of the alternative models rests in specifying traction boundary conditions of either rotational type or strain type. If rotational type boundary conditions are used in the partial integration, the classical anti-symmetric nonlocal force stress tensor formulation is obtained. Otherwise, the difference in both formulations is only a divergence--free second order stress field such that the field equations are the same, but the traction boundary conditions are different. For these results we employ a novel integrability condition, connecting the infinitesimal continuum rotation and the infinitesimal continuum strain. Moreover, we provide the complete, consistent traction boundary conditions for both models.
Probabilistic Grammars as Models of Gradience in Language Processing
Keller, Frank
on this evidence, we argue that the gradient behavior observed in the processing of certain syntactic constructions
Paper Number -1-Simulation model of dispersions in turning process
Paris-Sud XI, Université de
-francois.rigal@insa-lyon.fr Abstract: To control and to optimise the product/process pair, manufacturing companies are more and more production from the design to the manufacturing process. The control of geometrical specifications inside important aim of the virtual or numerical simulation of process planning is to study and take into account
Negative-coupling resonances in pump-coupled lasers
T. W. Carr; M. L. Taylor; I. B. Schwartz
2005-10-28
We consider coupled lasers, where the intensity deviations from the steady state, modulate the pump of the other lasers. Most of our results are for two lasers where the coupling constants are of opposite sign. This leads to a Hopf bifurcation to periodic output for weak coupling. As the magnitude of the coupling constants is increased (negatively) we observe novel amplitude effects such as a weak coupling resonance peak and, strong coupling subharmonic resonances and chaos. In the weak coupling regime the output is predicted by a set of slow evolution amplitude equations. Pulsating solutions in the strong coupling limit are described by discrete map derived from the original model.
Haldar, Krishnendu 1978-
2012-12-06
Magnetic shape memory alloys (MSMAs) are a class of active materials that de- form under magnetic and mechanical loading conditions. This work is concerned with the modeling of MSMAs constitutive responses. The hysteretic ...
Link, Percy Anne
2008-01-01
Several regional-scale ecosystem models currently parameterize subcanopy scalar transport using a rough-wall boundary eddy diffusivity formulation. This formulation predicts unreasonably high soil evaporation beneath tall, ...
Sun, Jian
[1] We use a conditional averaging approach to estimate the parameters of a land surface water and energy balance model and then use the estimated parameters to partition net radiation into latent, sensible, and ground ...
A reduced-form statistical climate model suitable for coupling with economic emissions projections
Rabin, Gregory S
2007-01-01
In this work, we use models based on past data and scientific analysis to determine possible future states of the environment. We attempt to improve the equations for temperature and greenhouse gas concentration used in ...
Stryk, Oskar von
of an industrial robot and removal simulation E. Abele a.) , J. Bauer a.) , M. Pischan a.) , O. v. Stryk b.) , M (SIM), Hochschulstraße 10, 64289 Darmstadt stryk@sim.tu-darmstadt.de Abstract: Industrial robots, especially under process force load due to the high mechanical compliance, restrict the use of industrial
Discovering Block-Structured Process Models From Event Logs -A Constructive Approach
van der Aalst, Wil
Discovering Block-Structured Process Models From Event Logs - A Constructive Approach S University of Technology, P.O. Box 513, NL-5600 MB, Eindhoven, The Netherlands Abstract Process discovery is the problem of, given a log of observed behaviour, finding a process model that `best' describes
3.3 SEDIMENT SOURCES, TRANSPORT PROCESSES AND MODELING APPROACHES by Michael Church
63 3.3 SEDIMENT SOURCES, TRANSPORT PROCESSES AND MODELING APPROACHES 3.3 by Michael Church, Environment Canada, Burlington, Ont. SEDIMENT SOURCES, TRANSPORT PROCESSES, AND MODELING APPROACHES FOR THE FRASER RIVER A thorough understanding of sediment sources and transport processes in rivers is essential
Thermodynamics and kinetics of competing aggregation processes in a simple model system
Berry, R. Stephen
Thermodynamics and kinetics of competing aggregation processes in a simple model system Ambarish 8 November 2007 A simple model system has been used to develop thermodynamics and kinetics for bulk and thermodynamics of the processes and to infer the conditions in which one process dominates another, in the high
Paris-Sud XI, Université de
. Geoscientists build this model from the interpretation of seismic data, i.e. 3D images of the subsurface for the interpretation of seismic data. It is based on volume roaming along with efficient volume paging to manipulate Seismic interpretation is an important task in the oil and gas exploration-production (EP) workflow [9, 26
Scharnhorst, Klaus
lattice with a bending rigidity 1/2. The present paper applies two approximate analytical methods precisely which also can be understood as a self-avoiding loop model on the square lattice with a bending31 . Somewhat less attention has been paid so far to the self-avoiding loop model with a variable bending
A Summary of Coupled, Uncoupled, and Hybrid Tectonic Models for the Yakima Fold Belt--Topical Report
Chamness, Michele A.; Winsor, Kelsey; Unwin, Stephen D.
2012-08-01
This document is one in a series of topical reports compiled by the Pacific Northwest National Laboratory to summarize technical information on selected topics important to the performance of a probabilistic seismic hazard analysis of the Hanford Site. The purpose of this report is to summarize the range of opinions and supporting information expressed by the expert community regarding whether a coupled or uncoupled model, or a combination of both, best represents structures in the Yakima Fold Belt. This issue was assessed to have a high level of contention with up to moderate potential for impact on the hazard estimate. This report defines the alternative conceptual models relevant to this technical issue and the arguments and data that support those models. It provides a brief description of the technical issue and principal uncertainties; a general overview on the nature of the technical issue, along with alternative conceptual models, supporting arguments and information, and uncertainties; and finally, suggests some possible approaches for reducing uncertainties regarding this issue.
Air pollution forecasting by coupled atmosphere-fire model WRF and SFIRE with WRF-Chem
Kochanski, Adam K; Mandel, Jan; Clements, Craig B
2013-01-01
Atmospheric pollution regulations have emerged as a dominant obstacle to prescribed burns. Thus, forecasting the pollution caused by wildland fires has acquired high importance. WRF and SFIRE model wildland fire spread in a two-way interaction with the atmosphere. The surface heat flux from the fire causes strong updrafts, which in turn change the winds and affect the fire spread. Fire emissions, estimated from the burning organic matter, are inserted in every time step into WRF-Chem tracers at the lowest atmospheric layer. The buoyancy caused by the fire then naturally simulates plume dynamics, and the chemical transport in WRF-Chem provides a forecast of the pollution spread. We discuss the choice of wood burning models and compatible chemical transport models in WRF-Chem, and demonstrate the results on case studies.
Adaptive design of cross-organizational business processes using a model-driven architecture
Bauer, Bernhard
Adaptive design of cross-organizational business processes using a model-driven architecture, methodologies, methods, and infrastructures to support end-to-end modeling of cross-organizational business: First, we present a conceptual architecture for modeling collaborative business processes based
Classical Symmetries of Some Two-Dimensional Models Coupled to Gravity
John H. Schwarz
1995-08-24
This paper is a sequel to one in which we examined the affine symmetry algebras of arbitrary classical principal chiral models and symmetric space models in two dimensions. It examines the extension of those results in the presence of gravity. The main result is that even though the symmetry transformations of the fields depend on the gravitational background, the symmetry algebras of these classical theories are completely unchanged by the presence of arbitrary gravitational backgrounds. On the other hand, we are unable to generalize the Virasoro symmetries of the flat-space theories to theories with gravity.
Collett Jr., Jeffrey L.
A coupled model of the global cycles of carbonyl sulfide and CO2: A possible new window] Carbonyl sulfide (COS) is an atmospheric trace gas that participates in some key reactions of the carbon model of the global cycles of carbonyl sulfide and CO2: A possible new window on the carbon cycle, J
Correctness-Preserving Configuration of Business Process Models
van der Aalst, Wil
such as the IT Infrastructure Library (ITIL) [21] or the Supply Chain Operations Reference (SCOR) model [20]. Also, the SAP
Li, Perry Y.
ADAPTIVE CALIBRATION AND CONTROL OF CASCADE PROCESSES WITH UNKNOWN MEASUREMENT MODEL AND ACTUATOR the material being processed goes through a sequence of processing units. The output of an upstream processing unit is fed into the input of the unit downstream. In many cases, the variables of interests are only
Stimulation at Desert Peak -modeling with the coupled THM code FEHM
DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]
kelkar, sharad
Numerical modeling of the 2011 shear stimulation at the Desert Peak well 27-15. This submission contains the FEHM executable code for a 64-bit PC Windows-7 machine, and the input and output files for the results presented in the included paper from ARMA-213 meeting.
Modeling the benefits of an artificial gravity countermeasure coupled with exercise and vibration
Newman, Dava J.
centrifugation has been hypothesized as an effective countermeasure because it reintroduces an acceleration field: Artificial gravity, human centrifuge, biomedical modeling #12;1. Introduction With NASA preparing for newRED) or Advanced Resistive Exercise Device (ARED), treadmill running, and cycling, have only proven to be partially
Stimulation at Desert Peak -modeling with the coupled THM code FEHM
DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]
kelkar, sharad
2013-04-30
Numerical modeling of the 2011 shear stimulation at the Desert Peak well 27-15. This submission contains the FEHM executable code for a 64-bit PC Windows-7 machine, and the input and output files for the results presented in the included paper from ARMA-213 meeting.
-mail: charles-alexis.asselineau@anu.edu.au 1. Introduction In concentrated solar power systems, receivers convert concentrated solar radiation into heat and, consequently, have a major impact on overall system modeling Charles-Alexis Asselineau1 , Jose Zapata1 and Dr John Pye1 1 Solar Thermal Group, College
systems in the federal state of Baden-Wu¨rttemberg, Southwest Germany. EFEM is an economic farm production-ecosystem model; Agricultural production systems; Stocking rates 1. Introduction In Germany, agriculture Kaltschmitt a , Ju¨rgen Zeddies b a Institute for Energy and Environment, Torgauer Str. 116, D-04347 Leipzig
RADIATIVE TRANSFER MODELING FOR RADIATION-CHEMISTRY COUPLING ANALYSIS A. de Guilhem de Lataillade
Dufresne, Jean-Louis
an accurate Monte Carlo algorithm with a simple Taylor expansion of radiative exchanges as function is a subject of renewed interest, with the acceptance of the fact that reacting flow models are not complete walls. It is known, for example, that substantial fractions of flame energy can be converted
A Human Performance Modeling System for Process Safety Operations
Harputlu, Emrah 1986-
2013-01-02
Operators have a crucial role in case of an emergency in a process facility. When an abnormality occurs in the process, the operator has a limited time to take corrective actions before system safety devices shut down the operation. It is crucial...
Wu, Huan; Adler, Robert F.; Tian, Yudong; Huffman, George; Li, Hongyi; Wang, Jianjian
2014-04-09
A community land surface model, the Variable Infiltration Capacity (VIC) model, is coupled with a newly developed hierarchical dominant river tracing-based runoff-routing model to form the Dominant river tracing-Routing Integrated with VIC Environment (DRIVE) model system, which serves as the new core of the real-time Global Flood Monitoring System (GFMS). The GFMS uses real-time satellite-based precipitation to derive flood-monitoring parameters for the latitude-band 50{degree sign}N-50{degree sign}S at relatively high spatial (~12km) and temporal (3-hourly) resolution. Examples of model results for recent flood events are computed using the real-time GFMS (http://flood.umd.edu). To evaluate the accuracy of the new GFMS, the DRIVE model is run retrospectively for 15 years using both research-quality and real-time satellite precipitation products. Statistical results are slightly better for the research-quality input and significantly better for longer duration events (three-day events vs. one-day events). Basins with fewer dams tend to provide lower false alarm ratios. For events longer than three days in areas with few dams, the probability of detection is ~0.9 and the false alarm ratio is ~0.6. In general, these statistical results are better than those of the previous system. Streamflow was evaluated at 1,121 river gauges across the quasi-global domain. Validation using real-time precipitation across the tropics (30ºS-30ºN) gives positive daily Nash-Sutcliffe Coef?cients for 107 out of 375 (28%) stations with a mean of 0.19 and 51% of the same gauges at monthly scale with a mean of 0.33. There were poorer results in higher latitudes, probably due to larger errors in the satellite precipitation input.
Robust design of control charts for autocorrelated processes with model uncertainty
Lee, Hyun Cheol
2005-11-01
Statistical process control (SPC) procedures suitable for autocorrelated processes have been extensively investigated in recent years. The most popular method is the residual-based control chart. To implement this method, a time series model, which...
JH Mather; D Randall
2007-12-30
In 2008, the Atmospheric Radiation Measurement (ARM) program and the Climate Change Prediction Program (CCPP) have been asked to produce joint science metrics. For CCPP, the metrics will deal with a decade-long control simulation using geodesic grid-coupled climate model. For ARM, the metrics will deal with observations associated with the 2006 deployment of the ARM Mobile Facility (AMF) to Niamey, Niger. Specifically, ARM has been asked to deliver data products for Niamey that describe cloud, aerosol, and dust properties. The first quarter milestone is ‘initial formulation of the algorithm to produce and make available, new continuous time series of retrieved cloud , aerosol and dust properties, based on results from the ARM Mobile Facility deployment in Niger, Africa. The first quarter milestone has been achieved.
Young, Elizabeth R. (Elizabeth Renee), 1980-
2009-01-01
Spectroscopic investigations of systems designed to advance the mechanistic interrogation of photo-induced proton coupled electron transfer (PCET) and proton-coupled (through-bond) energy transfer (PCEnT) are presented. ...
DOE Public Access Gateway for Energy & Science Beta (PAGES Beta)
Chen, Ying; Zhang, Yang; Fan, Jiwen; Leung, Lai -Yung; Zhang, Qiang; He, Kebin
2015-08-18
Online-coupled climate and chemistry models are necessary to realistically represent the interactions between climate variables and chemical species and accurately simulate aerosol direct and indirect effects on cloud, precipitation, and radiation. In this Part I of a two-part paper, simulations from the Weather Research and Forecasting model coupled with the physics package of Community Atmosphere Model (WRF-CAM5) are conducted with the default heterogeneous ice nucleation parameterization over East Asia for two full years: 2006 and 2011. A comprehensive model evaluation is performed using satellite and surface observations. The model shows an overall acceptable performance for major meteorological variables at themore »surface and in the boundary layer, as well as column variables (e.g., precipitation, cloud fraction, precipitating water vapor, downward longwave and shortwave radiation). Moderate to large biases exist for cloud condensation nuclei over oceanic areas, cloud variables (e.g., cloud droplet number concentration, cloud liquid and ice water paths, cloud optical depth, longwave and shortwave cloud forcing). These biases indicate a need to improve the model treatments for cloud processes, especially cloud droplets and ice nucleation, as well as to reduce uncertainty in the satellite retrievals. The model simulates well the column abundances of chemical species except for column SO2 but relatively poor for surface concentrations of several species such as CO, NO2, SO2, PM2.5, and PM10. Several reasons could contribute to the underestimation of major chemical species in East Asia including underestimations of anthropogenic emissions and natural dust emissions, uncertainties in the spatial and vertical distributions of the anthropogenic emissions, as well as biases in meteorological, radiative, and cloud predictions. Despite moderate to large biases in the chemical predictions, the model performance is generally consistent with or even better than that reported for East Asia with only a few exceptions. The model generally reproduces the observed seasonal variations and the difference between 2006 and 2011 for most variables or chemical species. Overall, these results demonstrate promising skills of WRF-CAM5 for long-term simulations at a regional scale and suggest several areas of potential improvements.« less
Cirpka, Olaf Arie
allows the coupling of a laminar single-phase free flow and a two-phase porous-medium flow under non be necessary Coupling Situation coupling exists for laminar free flow (Mostaf et al. 2011) boundary layer DuMux in use for Darcy flow and laminar Stokes flow no RANS solver in DuMux or DUNE PDELab Open