Adaptive mesh and algorithm refinement using direct simulation Monte Carlo

被引：203
|
作者：
Garcia, AL [1 ]
Bell, JB
Crutchfield, WY
Alder, BJ
机构：
[1] Univ Calif Berkeley, Lawrence Berkeley Lab, Ctr Computat Sci & Engn, Berkeley, CA 94720 USA
[2] Lawrence Livermore Natl Lab, Livermore, CA 94550 USA
[3] San Jose State Univ, Dept Phys, San Jose, CA 95192 USA
来源：
JOURNAL OF COMPUTATIONAL PHYSICS | 1999年 / 154卷 / 01期
基金：
美国国家科学基金会;
关键词：
D O I：
10.1006/jcph.1999.6305
中图分类号：
TP39 [计算机的应用];
学科分类号：
081203 ; 0835 ;
摘要：
Adaptive mesh and algorithm refinement (AMAR) embeds a particle method within a continuum method at the lineal level of an adaptive mesh refinement (AMR) hierarchy. The coupling between the particle region and the overlaying continuum grid is algorithmically equivalent to that between the fine and coarse levels of AMR. Direct simulation Monte Carlo (DSMC) is used as the particle algorithm embedded within a Godunov-type compressible Navier-Stokes solver. Several examples are presented and compared with purely continuum calculations. (C) 1999 Academic Press.
引用
收藏
页码：134 / 155
页数：22
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