A positive asymptotic-preserving scheme for linear kinetic transport equations

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Abstract

We present a positive- and asymptotic-preserving numerical scheme for solving linear kinetic transport equations that relax to a diffusive equation in the limit of infinite scattering. The proposed scheme is developed using a standard spectral angular discretization and a classical micro-macro decomposition. The three main ingredients are a semi-implicit temporal discretization, a dedicated finite difference spatial discretization, and realizability limiters in the angular discretization. Under mild assumptions, the scheme becomes a consistent numerical discretization for the limiting diffusion equation when the scattering cross-section tends to infinity. The scheme also preserves positivity of the particle concentration on the space-time mesh and therefore fixes a common defect of spectral angular discretizations. The scheme is tested on the well-known line source benchmark problem with the usual uniform material medium as well as a medium composed of different materials that are arranged in a checkerboard pattern. We also tested the scheme on a Riemann problem with a nonuniform material medium. The observed order of space-time accuracy of the proposed scheme is reported.

Original languageEnglish
Pages (from-to)A1500-A1526
JournalSIAM Journal on Scientific Computing
Volume41
Issue number3
DOIs
StatePublished - 2019

Bibliographical note

Publisher Copyright:
© 2019 U.S. Government

Funding

\ast Submitted to the journal's Methods and Algorithms for Scientific Computing section June 25, 2018; accepted for publication (in revised form) March 7, 2019; published electronically May 9, 2019. This manuscript has been authored, in part, by UT-Battelle, LLC, under contract DE-AC05-00OR22725 with the U.S. Department of Energy. The United States Government retains and the publisher, by accepting the article for publication, acknowledges that the United States Government retains a non-exclusive, paid-up, irrevocable, world-wide license to publish or reproduce the published form of this manuscript, or allow others to do so, for the United States Government purposes. http://www.siam.org/journals/sisc/41-3/M119629.html Funding: The first author was supported by the U.S. Department of Energy, under the SCGSR program administered by the Oak Ridge Institute for Science and Education under contract DE-AC05-06OR23100. The third author's research was sponsored by the Office of Advanced Scientific Computing Research and performed at the Oak Ridge National Laboratory, which is managed by UT-Battelle, LLC, under contract DE-AC05-00OR22725.

FundersFunder number
UT-Battelle, LLC
U.S. Department of Energy
Advanced Scientific Computing ResearchDE-AC05-00OR22725
Oak Ridge Institute for Science and EducationDE-AC05-06OR23100

    Keywords

    • Asymptotic-preserving schemes
    • Diffusion limit
    • Finite difference methods
    • Kinetic transport equations
    • Positive-preserving schemes

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