An Efficient Nonlinear Multigrid Solver for the Simulation of Rarefied Gas Cavity Flow

An Efficient Nonlinear Multigrid Solver for the Simulation of Rarefied Gas Cavity Flow

Year:    2023

Author:    Zhicheng Hu, Guanghan Li

Communications in Computational Physics, Vol. 34 (2023), Iss. 2 : pp. 357–391

Abstract

We study efficient simulation of steady state for multi-dimensional rarefied gas flow, which is modeled by the Boltzmann equation with BGK-type collision term. A nonlinear multigrid solver is proposed to resolve the efficiency issue by the following approaches. The unified framework of numerical regularized moment method is first adopted to derive the high-quality discretization of the underlying problem. A fast sweeping iteration is introduced to solve the derived discrete problem more efficiently than the usual time-integration scheme on a single level grid. Taking it as the smoother, the nonlinear multigrid solver is then established to significantly improve the convergence rate. The OpenMP-based parallelization is applied in the implementation to further accelerate the computation. Numerical experiments for two lid-driven cavity flows and a bottom-heated cavity flow are carried out to investigate the performance of the resulting nonlinear multigrid solver. All results show the wonderful efficiency and robustness of the solver for both first- and second-order spatial discretization.

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Journal Article Details

Publisher Name:    Global Science Press

Language:    English

DOI:    https://doi.org/10.4208/cicp.OA-2022-0271

Communications in Computational Physics, Vol. 34 (2023), Iss. 2 : pp. 357–391

Published online:    2023-01

AMS Subject Headings:    Global Science Press

Copyright:    COPYRIGHT: © Global Science Press

Pages:    35

Keywords:    Boltzmann equation moment method multigrid rarefied gas flow steady state.

Author Details

Zhicheng Hu

Guanghan Li