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Title: ASC Predictive Science Academic Alliance Program Verification and Validation Whitepaper

Authors:
; ; ; ;
Publication Date:
Research Org.:
Lawrence Livermore National Lab. (LLNL), Livermore, CA (United States)
Sponsoring Org.:
USDOE
OSTI Identifier:
928550
Report Number(s):
UCRL-TR-220342-REV-1
DOE Contract Number:
W-7405-ENG-48
Resource Type:
Technical Report
Country of Publication:
United States
Language:
English
Subject:
99 GENERAL AND MISCELLANEOUS//MATHEMATICS, COMPUTING, AND INFORMATION SCIENCE

Citation Formats

Klein, R, Doebling, S, Graziani, F, Pilch, M, and Trucano, T. ASC Predictive Science Academic Alliance Program Verification and Validation Whitepaper. United States: N. p., 2006. Web. doi:10.2172/928550.
Klein, R, Doebling, S, Graziani, F, Pilch, M, & Trucano, T. ASC Predictive Science Academic Alliance Program Verification and Validation Whitepaper. United States. doi:10.2172/928550.
Klein, R, Doebling, S, Graziani, F, Pilch, M, and Trucano, T. Tue . "ASC Predictive Science Academic Alliance Program Verification and Validation Whitepaper". United States. doi:10.2172/928550. https://www.osti.gov/servlets/purl/928550.
@article{osti_928550,
title = {ASC Predictive Science Academic Alliance Program Verification and Validation Whitepaper},
author = {Klein, R and Doebling, S and Graziani, F and Pilch, M and Trucano, T},
abstractNote = {},
doi = {10.2172/928550},
journal = {},
number = ,
volume = ,
place = {United States},
year = {Tue Apr 18 00:00:00 EDT 2006},
month = {Tue Apr 18 00:00:00 EDT 2006}
}

Technical Report:

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  • The purpose of this whitepaper is to provide a framework for understanding the role that verification and validation (V&V) are expected to play in successful ASC Predictive Science Academic Alliance (PSAA) Centers and projects. V&V have been emphasized in the recent specification of the PSAA (NNSA, 2006): (1) The resulting simulation models lend themselves to practical verification and validation methodologies and strategies that should include the integrated use of experimental and/or observational data as a key part of model and sub-model validation, as well as demonstrations of numerical convergence and accuracy for code verification. (2) Verification, validation and prediction methodologiesmore » and results must be much more strongly emphasized as research topics and demonstrated via the proposed simulations. (3) It is mandatory that proposals address the following two topics: (a) Predictability in science & engineering; and (b) Verification & validation strategies for large-scale simulations, including quantification of uncertainty and numerical convergence. We especially call attention to the explicit coupling of computational predictability and V&V in the third bullet above. In this whitepaper we emphasize this coupling, and provide concentrated guidance for addressing item 2. The whitepaper has two main components. First, we provide a brief and high-level tutorial on V&V that emphasizes critical elements of the program. Second, we state a set of V&V-related requirements that successful PSAA proposals must address.« less
  • The review was conducted on March 31 – April 1, 2015 at the University of Utah. Overall the review team was impressed with the work presented and found that the CCMSC had met or exceeded all of their Year 1 milestones. Specific details, comments and recommendations are included in this document.
  • The design of efficient, high-gain capsules for inertial confinement fusion (ICF) and the modeling of supernova implosions and explosions requires a detailed understanding of the consequences of material interpenetration, hydrodynamic instabilities and mixing at molecular (or atomic) scales arising from perturbations at material interfaces, i.e., the Rayleigh-Taylor, Richtmyer-Meshkov and Kelvin-Helmholtz instabilities (buoyancy-, shock- and shear-induced instabilities, respectively). From a computational point of view, this requires the development of models for hydrodynamic instability growth from initial perturbations through the weakly- and strongly-nonlinear phases, and finally, to the late-time turbulent regime. In particular, modeling these processes completely and accurately is critical formore » demonstrating the feasibility and potential success of contemporary ICF capsule designs. A predictive computational capability for the effects of turbulent mass, momentum, energy and species transport, as well as material mixing, on the thermonuclear fusion process in ICF entails the development of turbulent transport and mixing or subgrid-scale models based on statistically-averaged or filtered evolution equations, respectively. The former models are typically referred to as Reynolds-averaged Navier-Stokes (RANS) (and related) models and the latter are referred to as large-eddy simulation (LES) models. The strong nonlinearity of the equations describing the hydrodynamics, thermodynamics, material properties and other multi-scale phenomena, together with the formal ensemble averaging or filtering procedure, introduce correlations of strongly-fluctuating fields and other a priori unclosed quantities that must be explicitly modeled to close the set of equations describing the implosion dynamics and burning of an ICF capsule.« less