An asymptotic preserving Monte Carlo method for the multispecies Boltzmann equation

被引:32
|
作者
Zhang, Bin [1 ,2 ,3 ]
Liu, Hong [1 ]
Jin, Shi [2 ,3 ,4 ]
机构
[1] Shanghai Jiao Tong Univ, Sch Aeronaut & Astronaut, JC Wu Ctr Aerodynam, Shanghai 200240, Peoples R China
[2] Shanghai Jiao Tong Univ, Dept Math, Inst Nat Sci, MOE LSEC, Shanghai 200240, Peoples R China
[3] Shanghai Jiao Tong Univ, SHL MAC, Shanghai 200240, Peoples R China
[4] Univ Wisconsin, Dept Math, Madison, WI 53706 USA
基金
中国博士后科学基金; 中国国家自然科学基金;
关键词
Multispecies Boltzmann equation; Asymptotic preserving scheme; DSMC; Multiscale flow; SMOOTH TRANSITION MODEL; DOMAIN DECOMPOSITION; SCHEMES;
D O I
10.1016/j.jcp.2015.11.006
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
An asymptotic preserving (AP) scheme is efficient in solving multiscale kinetic equations with a wide range of the Knudsen number. In this paper, we generalize the asymptotic preserving Monte Carlo method (AP-DSMC) developed in [25] to the multispecies Boltzmann equation. This method is based on the successive penalty method [26] originated from the BGK-penalization-based AP scheme developed in [7]. For the multispecies Boltzmann equation, the penalizing Maxwellian should use the unified Maxwellian as suggested in [12]. We give the details of AP-DSMC for multispecies Boltzmann equation, show its AP property, and verify through several numerical examples that the scheme can allow time step much larger than the mean free time, thus making it much more efficient for flows with possibly small Knudsen numbers than the classical DSMC. (C) 2015 Elsevier Inc. All rights reserved.
引用
收藏
页码:575 / 588
页数:14
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