The statistical error associated with the direct simulation Monte Carlo technique is studied when it is applied to nonequilibrium cle method and a continuum approach. It is well known hypersonic and nozzle flows. A root mean square (rms) error is that the Monte Carlo method is physically accurate bu
Improved sampling techniques for the direct simulation Monte Carlo method
โ Scribed by Quanhua Sun; Jing Fan; Iain D. Boyd
- Publisher
- Elsevier Science
- Year
- 2009
- Tongue
- English
- Weight
- 637 KB
- Volume
- 38
- Category
- Article
- ISSN
- 0045-7930
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โฆ Synopsis
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.
๐ SIMILAR VOLUMES
The accuracy and computational cost of a direct simulation Monte Carlo simulation are directly related to the number of particles per cell. Optimal computational efficiency is achieved when the minimum number of particles needed for accurate resolution is used in each cell. Particle count is shown t