Strategies for efficient particle resolution in the direct simulation Monte Carlo method.

DOI10.1006/jcph.1999.6397zbMath1051.76051OpenAlexW2011757665MaRDI QIDQ1971423

Keith C. Kannenberg, Iain D. Boyd

Publication date: 2000

Published in: Journal of Computational Physics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1006/jcph.1999.6397

zbMATH Keywords

nonequilibrium gas flowsvariation of particle weightsvariation of time steps

Mathematics Subject Classification ID

Monte Carlo methods (65C05) Particle methods and lattice-gas methods (76M28)

Related Items (14)

An asymptotic preserving Monte Carlo method for the multispecies Boltzmann equation ⋮ A numerical source of small-scale number-density fluctuations in Eulerian-Lagrangian simulations of multiphase flows ⋮ Development of parallel direct simulation Monte Carlo method using a cut-cell Cartesian grid on a single graphics processor ⋮ Subsonic flow boundary conditions for the direct simulation Monte Carlo method ⋮ Application of stochastic weighted algorithms to a multidimensional silica particle model ⋮ An asymptotic-preserving Monte Carlo method for the Boltzmann equation ⋮ A novel spatio-temporally adaptive parallel three-dimensional DSMC solver for unsteady rarefied micro/nano gas flows ⋮ Stochastic weighted particle methods for population balance equations ⋮ Multiscale analysis of nonequilibrium rarefied gas flows with the application to silicon thin film process employing supersonic jet ⋮ Parallel three-dimensional DSMC method using mesh refinement and variable time-step scheme ⋮ Conservative method for the reduction of the number of particles in the Monte Carlo simulation method for kinetic equations ⋮ An effective particle tracing scheme on structured/unstructured grids in hybrid finite volume/PDF Monte Carlo methods ⋮ An adaptive procedure for the numerical parameters of a particle simulation ⋮ On an Axisymmetric Direct Simulation Monte Carlo Method

Uses Software

• MONACO

Cites Work

• Reduction of simulation cost and error for particle simulations of rarefied flows
• Dynamic and selective control of the number of particles in kinetic plasma simulations
• Scalar and parallel optimized implementation of the direct simulation Monte Carlo method
• Statistical error analysis for the direct simulation Monte Carlo technique
• Direct simulation of gas flows at the molecular level

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