Skip to main content
Article
Adaptive Mesh and Algorithm Refinement using Direct Simulation Monte Carlo
Journal of Computational Physics (1999)
  • Alejandro Garcia, San Jose State University
  • J. Bell, Lawrence Berkeley National Laboratory
  • Wm. Y Cruthfield, Lawrence Berkeley National Laboratory
  • B. Adler, Lawrence Livermore National Laboratory
Abstract

Adaptive mesh and algorithm refinement (AMAR) embeds a particle method within a continuum method at the finest 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.

Keywords
  • mesh,
  • adaptive,
  • refinement,
  • monte carlo
Publication Date
1999
Publisher Statement
SJSU users: use the following link to login and access the article via SJSU databases
Citation Information
Alejandro Garcia, J. Bell, Wm. Y Cruthfield and B. Adler. "Adaptive Mesh and Algorithm Refinement using Direct Simulation Monte Carlo" Journal of Computational Physics Vol. 154 (1999)
Available at: http://works.bepress.com/alejandro_garcia1/45/