Adaptive particle-cell algorithm for Fokker-Planck based rarefied gas flow simulations

DOI10.1016/j.cpc.2016.11.003zbMath1376.76058OpenAlexW2556771125MaRDI QIDQ1685743

M. Pfeiffer, Mohammad Hossein Gorji

Publication date: 19 December 2017

Published in: Computer Physics Communications (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.cpc.2016.11.003

zbMATH Keywords

direct simulation Monte Carlorarefied gas flowsFokker-Planck kinetic modelreentry simulations

Mathematics Subject Classification ID

Rarefied gas flows, Boltzmann equation in fluid mechanics (76P05) Particle methods and lattice-gas methods (76M28) Fokker-Planck equations (35Q84)

Related Items (7)

Master equation approach for modeling diatomic gas flows with a kinetic Fokker-Planck algorithm ⋮ Entropic Fokker-Planck kinetic model ⋮ Assessment of the cubic Fokker-Planck-DSMC hybrid method for hypersonic rarefied flows past a cylinder ⋮ Automatic mesh refinement and parallel load balancing for Fokker-Planck-DSMC algorithm ⋮ A high-order unified stochastic particle method based on the Bhatnagar-Gross-Krook model for multi-scale gas flows ⋮ Particle simulation of nonequilibrium gas flows based on ellipsoidal statistical Fokker-Planck model ⋮ Fokker-Planck-Poisson kinetics: multi-phase flow beyond equilibrium

Cites Work

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• Implementing Spectral Methods for Partial Differential Equations
• Anisotropic mesh adaptation: towards user-independent, mesh-independent and solver-independent CFD. Part I: general principles
• Accuracy and efficiency of the sophisticated direct simulation Monte Carlo algorithm for simulating noncontinuum gas flows

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