Particle tracking acceleration via signed distance fields in direct-accelerated geometry Monte Carlo

Shriwise, Patrick C.; Davis, Andrew; Jacobson, Lucas J.; Wilson, Paul P. H.

doi:10.1016/j.net.2017.08.008

Title: Particle tracking acceleration via signed distance fields in direct-accelerated geometry Monte Carlo

Full Record
Other Related Research

Abstract

Computer-aided design (CAD)-based Monte Carlo radiation transport is of value to the nuclear engineering community for its ability to conduct transport on high-fidelity models of nuclear systems, but it is more computationally expensive than native geometry representations. This work describes the adaptation of a rendering data structure, the signed distance field, as a geometric query tool for accelerating CAD-based transport in the direct-accelerated geometry Monte Carlo toolkit. Demonstrations of its effectiveness are shown for several problems. The beginnings of a predictive model for the data structure's utilization based on various problem parameters is also introduced.

Authors:

Shriwise, Patrick C. ^[1]; Davis, Andrew ^[1]; Jacobson, Lucas J. ^[1]; Wilson, Paul P. H. ^[1]

Univ. of Wisconsin, Madison, WI (United States). CNERG Research Group

Publication Date:: Sat Aug 26 00:00:00 EDT 2017

Research Org.:: Univ. of Wisconsin, Madison, WI (United States)

Sponsoring Org.:: USDOE Office of Science (SC), Fusion Energy Sciences (FES); Nuclear Regulatory Commission (NRC) (United States)

OSTI Identifier:: 1425791

Grant/Contract Number:: FG02-99ER54513; SC0017122; NRC-HQ-84-14-G-0030

Resource Type:: Accepted Manuscript

Journal Name:: Nuclear Engineering and Technology

Additional Journal Information:: Journal Volume: 49; Journal Issue: 6; Journal ID: ISSN 1738-5733

Publisher:: Korean Nuclear Society

Country of Publication:: United States

Language:: English

Subject:: 73 NUCLEAR PHYSICS AND RADIATION PHYSICS; Monte Carlo; radiation transport; CAD; DAGMC

Citation Formats


                    Shriwise, Patrick C., Davis, Andrew, Jacobson, Lucas J., and Wilson, Paul P. H. Particle tracking acceleration via signed distance fields in direct-accelerated geometry Monte Carlo.  United States: N. p., 2017. 
Web.  doi:10.1016/j.net.2017.08.008.

Copy to clipboard


                    Shriwise, Patrick C., Davis, Andrew, Jacobson, Lucas J., & Wilson, Paul P. H. Particle tracking acceleration via signed distance fields in direct-accelerated geometry Monte Carlo.  United States.  https://doi.org/10.1016/j.net.2017.08.008

Copy to clipboard


                    Shriwise, Patrick C., Davis, Andrew, Jacobson, Lucas J., and Wilson, Paul P. H. Sat .  
"Particle tracking acceleration via signed distance fields in direct-accelerated geometry Monte Carlo".  United States.  https://doi.org/10.1016/j.net.2017.08.008.  https://www.osti.gov/servlets/purl/1425791.

Copy to clipboard


                    
@article{osti_1425791,

  title        = {Particle tracking acceleration via signed distance fields in direct-accelerated geometry Monte Carlo},

  author       = {Shriwise, Patrick C. and Davis, Andrew and Jacobson, Lucas J. and Wilson, Paul P. H.},

  abstractNote = {Computer-aided design (CAD)-based Monte Carlo radiation transport is of value to the nuclear engineering community for its ability to conduct transport on high-fidelity models of nuclear systems, but it is more computationally expensive than native geometry representations. This work describes the adaptation of a rendering data structure, the signed distance field, as a geometric query tool for accelerating CAD-based transport in the direct-accelerated geometry Monte Carlo toolkit. Demonstrations of its effectiveness are shown for several problems. The beginnings of a predictive model for the data structure's utilization based on various problem parameters is also introduced.},

  doi          = {10.1016/j.net.2017.08.008},

  journal      = {Nuclear Engineering and Technology},

  number       = 6,

  volume       = 49,

  place        = {United States},

  year         = {Sat Aug 26 00:00:00 EDT 2017},

  month        = {Sat Aug 26 00:00:00 EDT 2017}

}

Copy to clipboard

Journal Article:

Free Publicly Available Full Text

Accepted Manuscript (DOE)

Publisher's Version of Record

https://doi.org/10.1016/j.net.2017.08.008

Other availability

Search WorldCat to find libraries that may hold this journal

Citation Metrics:

Cited by: 2 works

Citation information provided by
Web of Science

Save / Share:

Export Metadata

Save to My Library

Similar Records in DOE PAGES and OSTI.GOV collections:

Hardware-Accelerated Ray Tracing of CAD-Based Geometry for Monte Carlo Radiation Transport

Journal Article Shriwise, Patrick C. ; Wilson, Paul P. H. ; Davis, Andrew ; ... - Computing in Science and Engineering

Monte Carlo radiation transport (MCRT) methods have been used to simulate radiation environments for many decades by tracking individual particles through a model to accumulate statistical information. MCRT geometry is historically formed using the constructive solid geometry (CSG). Recently, significant work has been performed to support simulations using computer-aided design (CAD)-based tessellated surfaces to support highly complex geometries. Ray tracing acceleration data structures from the rendering and visualization community are applied to accelerate particle tracking in CAD-based models. Despite these efforts, CSG representations provide the superior performance in surface intersection operations during particle flight. Concurrently, pseudo Monte Carlo methods havemore »« less
https://doi.org/10.1109/mcse.2022.3154656

Full Text Available
ACCELERATING FUSION REACTOR NEUTRONICS MODELING BY AUTOMATIC COUPLING OF HYBRID MONTE CARLO/DETERMINISTIC TRANSPORT ON CAD GEOMETRY

Conference Biondo, Elliott D ; Ibrahim, Ahmad M ; Mosher, Scott W ; ...

Detailed radiation transport calculations are necessary for many aspects of the design of fusion energy systems (FES) such as ensuring occupational safety, assessing the activation of system components for waste disposal, and maintaining cryogenic temperatures within superconducting magnets. Hybrid Monte Carlo (MC)/deterministic techniques are necessary for this analysis because FES are large, heavily shielded, and contain streaming paths that can only be resolved with MC. The tremendous complexity of FES necessitates the use of CAD geometry for design and analysis. Previous ITER analysis has required the translation of CAD geometry to MCNP5 form in order to use the AutomateD VAriaNcemore »« less
Full Text Available
Monte Carlo Perturbation Theory Estimates of Sensitivities to System Dimensions

Journal Article Burke, Timothy P. ; Kiedrowski, Brian C. - Nuclear Science and Engineering

Here, Monte Carlo methods are developed using adjoint-based perturbation theory and the differential operator method to compute the sensitivities of the k-eigenvalue, linear functions of the flux (reaction rates), and bilinear functions of the forward and adjoint flux (kinetics parameters) to system dimensions for uniform expansions or contractions. The calculation of sensitivities to system dimensions requires computing scattering and fission sources at material interfaces using collisions occurring at the interface—which is a set of events with infinitesimal probability. Kernel density estimators are used to estimate the source at interfaces using collisions occurring near the interface. The methods for computing sensitivitiesmore »« less
Cited by 10
https://doi.org/10.1080/00295639.2017.1388093

Full Text Available
ITS version 5.0 :the integrated TIGER series of coupled electron/Photon monte carlo transport codes with CAD geometry.

Technical Report Franke, Brian Claude ; Kensek, Ronald Patrick ; Laub, Thomas William

ITS is a powerful and user-friendly software package permitting state-of-the-art Monte Carlo solution of linear time-independent coupled electron/photon radiation transport problems, with or without the presence of macroscopic electric and magnetic fields of arbitrary spatial dependence. Our goal has been to simultaneously maximize operational simplicity and physical accuracy. Through a set of preprocessor directives, the user selects one of the many ITS codes. The ease with which the makefile system is applied combines with an input scheme based on order-independent descriptive keywords that makes maximum use of defaults and internal error checking to provide experimentalists and theorists alike with amore »« less
https://doi.org/10.2172/877725

Full Text Available
Implementation and testing of the on-the-fly thermal scattering Monte Carlo sampling method for graphite and light water in MCNP6

Journal Article Pavlou, Andrew T. ; Ji, Wei ; Brown, Forrest B. - Annals of Nuclear Energy (Oxford)

Here, a proper treatment of thermal neutron scattering requires accounting for chemical binding through a scattering law S(α,β,T). Monte Carlo codes sample the secondary neutron energy and angle after a thermal scattering event from probability tables generated from S(α,β,T) tables at discrete temperatures, requiring a large amount of data for multiscale and multiphysics problems with detailed temperature gradients. We have previously developed a method to handle this temperature dependence on-the-fly during the Monte Carlo random walk using polynomial expansions in 1/T to directly sample the secondary energy and angle. In this paper, the on-the-fly method is implemented into MCNP6 andmore »« less
Cited by 5
https://doi.org/10.1016/j.anucene.2016.01.006

Full Text Available

Similar Records