A Positive- And Bound-Preserving Vectorial Lattice Boltzmann Method in Two Dimensions

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 [Comm. Pure Appl. Math., 48 (1995), pp. 235--276] and then that of Aregba-Driollet and Natalini [SIAM J. Numer. Anal., 37 (2000), pp. 1973--2004] and Bouchut [J. Stat. Phys., 95 (19990, pp. 113--170], 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's accuracy, robustness, and ability to capture sharp discontinuities with minimal numerical oscillations.

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Publication Details

Journal
Universität Zürich, ZORA
Published
2025-12-14
DOI
https://doi.org/10.5167/uzh-281402
Primary Topic
Lattice Boltzmann Simulation Studies
Type
article
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article

A Positive- And Bound-Preserving Vectorial Lattice Boltzmann Method in Two Dimensions

Yongle Liu, Gauthier Wissocq, Rémi Abgrall
Universität Zürich, ZORA
Lattice Boltzmann Simulation Studies
article

A Positive- And Bound-Preserving Vectorial Lattice Boltzmann Method in Two Dimensions

Yongle Liu, Gauthier Wissocq, Rémi Abgrall
article en

Abstract

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 [Comm. Pure Appl. Math., 48 (1995), pp. 235--276] and then that of Aregba-Driollet and Natalini [SIAM J. Numer. Anal., 37 (2000), pp. 1973--2004] and Bouchut [J. Stat. Phys., 95 (19990, pp. 113--170], 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's accuracy, robustness, and ability to capture sharp discontinuities with minimal numerical oscillations.

Universität Zürich, ZORA
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Lattice Boltzmann Simulation Studies
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