Consistent Second Moment Methods with Scalable Linear Solvers for Radiation Transport

Second moment methods (SMMs) are developed that are consistent with the discontinuous Galerkin spatial discretization of the discrete ordinates (or S\(_N\)) transport equations. The low-order (LO) diffusion system of equations is discretized with fully consistent P\(_1\), local discontinuous Galerkin (LDG), and interior penalty (IP) methods. A discrete residual approach is used to derive SMM correction terms that make each of the LO systems consistent with the high-order discretization. We show that the consistent methods are more accurate and have better solution quality than independently discretized LO systems, that they preserve the diffusion limit, and that the LDG and IP consistent SMMs can be scalably solved in parallel on a challenging, multimaterial benchmark problem.

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Publication Details

Journal
SIAM Journal on Scientific Computing
Published
2025-05-02
DOI
https://doi.org/10.1137/24m1657286
Citations
1
Primary Topic
Advanced Numerical Methods in Computational Mathematics
Type
article
Field-Weighted Citation Impact
1.33

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article

Consistent Second Moment Methods with Scalable Linear Solvers for Radiation Transport

Ben S. Southworth, Samuel Olivier, HyeongKae Park, James S. Warsa
1 citations
SIAM Journal on Scientific Computing
Advanced Numerical Methods in Computational Mathematics
1.33
article

Consistent Second Moment Methods with Scalable Linear Solvers for Radiation Transport

Ben S. Southworth, Samuel Olivier, HyeongKae Park, James S. Warsa
article en
1 citations

Abstract

Second moment methods (SMMs) are developed that are consistent with the discontinuous Galerkin spatial discretization of the discrete ordinates (or S\(_N\)) transport equations. The low-order (LO) diffusion system of equations is discretized with fully consistent P\(_1\), local discontinuous Galerkin (LDG), and interior penalty (IP) methods. A discrete residual approach is used to derive SMM correction terms that make each of the LO systems consistent with the high-order discretization. We show that the consistent methods are more accurate and have better solution quality than independently discretized LO systems, that they preserve the diffusion limit, and that the LDG and IP consistent SMMs can be scalably solved in parallel on a challenging, multimaterial benchmark problem.

SIAM Journal on Scientific ComputingVol. 47(3)
Los Alamos National Laboratory (US)
U.S. Department of Energy, Los Alamos National Laboratory
Affordable and clean energy
Openalex Percentile: Top 24%
Advanced Numerical Methods in Computational Mathematics
1.33
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