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

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:
 [1] ;  [1] ;  [1] ;  [1]
  1. Univ. of Wisconsin, Madison, WI (United States). CNERG Research Group
Publication Date:
Grant/Contract Number:
FG02-99ER54513; SC0017122; NRC-HQ-84-14-G-0030
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
Research Org:
Univ. of Wisconsin, Madison, WI (United States)
Sponsoring Org:
USDOE Office of Science (SC), Fusion Energy Sciences (FES) (SC-24); Nuclear Regulatory Commission (NRC) (United States)
Country of Publication:
United States
Language:
English
Subject:
73 NUCLEAR PHYSICS AND RADIATION PHYSICS; Monte Carlo; radiation transport; CAD; DAGMC
OSTI Identifier:
1425791

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., Web. doi:10.1016/j.net.2017.08.008.
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. doi:10.1016/j.net.2017.08.008.
Shriwise, Patrick C., Davis, Andrew, Jacobson, Lucas J., and Wilson, Paul P. H.. 2017. "Particle tracking acceleration via signed distance fields in direct-accelerated geometry Monte Carlo". United States. doi:10.1016/j.net.2017.08.008. https://www.osti.gov/servlets/purl/1425791.
@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 = {2017},
month = {8}
}