2012
DOI: 10.1002/num.21746
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A BGK‐penalization‐based asymptotic‐preserving scheme for the multispecies Boltzmann equation

Abstract: An asymptotic-preserving (AP) scheme is efficient in solving multiscale problems where kinetic and hydrodynamic regimes coexist. In this article, we extend the BGK-penalization-based AP scheme, originally introduced by Filbet and Jin for the single species Boltzmann equation (Filbet and Jin, J Comput Phys 229 (2010) 7625-7648), to its multispecies counterpart. For the multispecies Boltzmann equation, the new difficulties arise due to: (1) the breaking down of the conservation laws for each species and (2) diff… Show more

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Cited by 26 publications
(20 citation statements)
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“…One can simply choose α = This can be seen as an approximation of the Dimarco-Pareschi method, with easier extension to more complicated problems. (42) can be applied to both the Boltzmann equation and the Landau equation, with the penalization P to be the BGK operator (8) or the Fokker-Planck operator (24), and the penalization weight β given by (17) or (26), respectively.…”
Section: The Split Versionmentioning
confidence: 99%
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“…One can simply choose α = This can be seen as an approximation of the Dimarco-Pareschi method, with easier extension to more complicated problems. (42) can be applied to both the Boltzmann equation and the Landau equation, with the penalization P to be the BGK operator (8) or the Fokker-Planck operator (24), and the penalization weight β given by (17) or (26), respectively.…”
Section: The Split Versionmentioning
confidence: 99%
“…11 (3) and P (f ) the Fokker-Planck operator (24), (44) gives a first order strongly AP scheme. Here β is given by (26).…”
Section: Remark 31 In the Case Of The Boltzmann Equation Ie Q(f mentioning
confidence: 99%
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“…A reasonable attempt to derive an AP numerical scheme for Boltzmann equations for mixtures is to use a penalty method by a linear BGK‐operator as in , which has been extended for mixtures in . This operator would then be defined for each species 1 ≤ i ≤ p as P i : f i ↦ β i ( M i − f i ), where M i is the global Maxwellian equilibrium state defined by Mitxv=citx()mi2πkBTd/2expmiv22kBT, and β i is some constant to be specified.…”
Section: Introductionmentioning
confidence: 99%