Vectorial Kinetic Relaxation Model with Central Velocity. Application to Implicit Relaxations Schemes

Vectorial Kinetic Relaxation Model with Central Velocity. Application to Implicit Relaxations Schemes

Year:    2020

Author:    David Coulette, Clémentine Courtès, Emmanuel Franck, Laurent Navoret

Communications in Computational Physics, Vol. 27 (2020), Iss. 4 : pp. 976–1013

Abstract

We apply flux vector splitting (FVS) strategy to the implicit kinetic schemes for hyperbolic systems. It enables to increase the accuracy of the method compared to classical kinetic schemes while still using large time steps compared to the characteristic speeds of the problem. The method also allows to tackle multi-scale problems, such as the low Mach number limit, for which wave speeds with large ratio are involved. We present several possible kinetic relaxation schemes based on FVS and compare them on one-dimensional test-cases. We discuss stability issues for this kind of method.

You do not have full access to this article.

Already a Subscriber? Sign in as an individual or via your institution

Journal Article Details

Publisher Name:    Global Science Press

Language:    English

DOI:    https://doi.org/10.4208/cicp.OA-2019-0013

Communications in Computational Physics, Vol. 27 (2020), Iss. 4 : pp. 976–1013

Published online:    2020-01

AMS Subject Headings:    Global Science Press

Copyright:    COPYRIGHT: © Global Science Press

Pages:    38

Keywords:    Implicit scheme kinetic flux vector splitting Euler equation relaxation.

Author Details

David Coulette

Clémentine Courtès

Emmanuel Franck

Laurent Navoret

  1. Unconditionally stable and parallel Discontinuous Galerkin solver

    Gerhard, Pierre | Helluy, Philippe | Michel-Dansac, Victor

    Computers & Mathematics with Applications, Vol. 112 (2022), Iss. P.116

    https://doi.org/10.1016/j.camwa.2022.02.015 [Citations: 0]
  2. On Lattice Boltzmann Methods based on vector-kinetic models for hyperbolic partial differential equations

    Anandan, Megala | Raghurama Rao, S.V.

    Computers & Fluids, Vol. 280 (2024), Iss. P.106348

    https://doi.org/10.1016/j.compfluid.2024.106348 [Citations: 0]
  3. Convergence of Lattice Boltzmann methods with overrelaxation for a nonlinear conservation law

    Aregba-Driollet, Denise

    ESAIM: Mathematical Modelling and Numerical Analysis, Vol. 58 (2024), Iss. 5 P.1935

    https://doi.org/10.1051/m2an/2024058 [Citations: 0]