Improved sampling techniques for the direct simulation Monte Carlo method

被引：8
|
作者：
Sun, Quanhua [1 ]
Fan, Jing [1 ]
Boyd, Iain D. [2 ]
机构：
[1] Chinese Acad Sci, Inst Mech, Key Lab High Temp Gas Dynam, Beijing 100190, Peoples R China
[2] Univ Michigan, Dept Aerosp Engn, Ann Arbor, MI 48109 USA
来源：
COMPUTERS & FLUIDS | 2009年 / 38卷 / 02期
基金：
中国国家自然科学基金;
关键词：
D O I：
10.1016/j.compfluid.2008.04.010
中图分类号：
TP39 [计算机的应用];
学科分类号：
081203 ; 0835 ;
摘要：
The direct simulation Monte Carlo (DSMC) method is a widely used approach for flow simulations having rarefied or nonequilibrium effects. It involves heavily to sample instantaneous values from prescribed distributions using random numbers. In this note, we briefly review the sampling techniques typically employed in the DSMC method and present two techniques to speedup related sampling processes. One technique is very efficient for sampling geometric locations of new particles and the other is useful for the Larsen-Borgnakke energy distribution. (c) 2008 Elsevier Ltd. All rights reserved.
引用
收藏
页码：475 / 479
页数：5
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