A positive- and bound-preserving vectorial lattice Boltzmann method in two dimensions

Fuente: arXiv
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Auteurs principaux: Wissocq, Gauthier, Liu, Yongle, Abgrall, Rémi
Format: Preprint
Publié: 2024
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author Wissocq, Gauthier
Liu, Yongle
Abgrall, Rémi
author_facet Wissocq, Gauthier
Liu, Yongle
Abgrall, Rémi
contents We present a novel positive kinetic scheme built on the efficient collide-and-stream algorithm of the lattice Boltzmann method (LBM) to address hyperbolic conservation laws. We focus on the compressible Euler equations with strong discontinuities. Starting from the work of Jin and Xin [20] and then [4,8], we show how the LBM discretization procedure can yield both first- and second-order schemes, referred to as vectorial LBM. Noticing that the first-order scheme is convex preserving under a specific CFL constraint, we develop a blending strategy that preserves both the conservation and simplicity of the algorithm. This approach employs convex limiters, carefully designed to ensure either positivity (of the density and the internal energy) preservation (PP) or well-defined local maximum principles (LMP), while minimizing numerical dissipation. On challenging test cases involving strong discontinuities and near-vacuum regions, we demonstrate the scheme accuracy, robustness, and ability to capture sharp discontinuities with minimal numerical oscillations.
format Preprint
id arxiv_https___arxiv_org_abs_2411_15001
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle A positive- and bound-preserving vectorial lattice Boltzmann method in two dimensions
Wissocq, Gauthier
Liu, Yongle
Abgrall, Rémi
Numerical Analysis
We present a novel positive kinetic scheme built on the efficient collide-and-stream algorithm of the lattice Boltzmann method (LBM) to address hyperbolic conservation laws. We focus on the compressible Euler equations with strong discontinuities. Starting from the work of Jin and Xin [20] and then [4,8], we show how the LBM discretization procedure can yield both first- and second-order schemes, referred to as vectorial LBM. Noticing that the first-order scheme is convex preserving under a specific CFL constraint, we develop a blending strategy that preserves both the conservation and simplicity of the algorithm. This approach employs convex limiters, carefully designed to ensure either positivity (of the density and the internal energy) preservation (PP) or well-defined local maximum principles (LMP), while minimizing numerical dissipation. On challenging test cases involving strong discontinuities and near-vacuum regions, we demonstrate the scheme accuracy, robustness, and ability to capture sharp discontinuities with minimal numerical oscillations.
title A positive- and bound-preserving vectorial lattice Boltzmann method in two dimensions
topic Numerical Analysis
url https://arxiv.org/abs/2411.15001