基于非结构化网格的高可扩展并行有限体积格子

doi:10.11896/j.issn.1002-137X.2019.08.013

Abstract

Abstract: Although the lattice Boltzmann method (LBM) has become an effective and promising approach in computational fluid dynamics (CFD),it is still difficult to simulate large-scale flow field with complex geometric boundaries.In this paper,the finite volume lattice Boltzmann method with cell-centered scheme on unstructured grids was given.The convective fluxes are evaluated by low-diffusion Roe scheme,and the gradients of the particle distribution function are computed with Green-Gauss approach.In order to simulate large-scale complex flow field,a parallel algorithm for the finite volume lattice Boltzmann method on unstructured grids was presented.In this method,ParMETIS is applied to partition the unstructured mesh,and then the partitioned meshes are sent to the MPI processes.The parallel performance of two kinds of meshes are compared.The correctness of the parallel algorithm was verified by two benchmark flows:1)the lid-driven flow with Re=400,1 000,3 200,5 000;2)the steady viscous flowpast a circular cylinder with Re=10,20,40.The results of parallel numerical experiments show that the parallel algorithm still has good scalability on 1 920 cores,which achieves 78.42% efficiency on 1 920 cores compared with 240 cores

Key words: Finite volume lattice Boltzmann method, Parallel computing, ParMETIS, Unstructured grid

CLC Number:

TP391

XU Lei, CHEN Rong-liang, CAI Xiao-chuan. Scalable Parallel Finite Volume Lattice Boltzmann Method Based on Unstructured Grid[J].Computer Science, 2019, 46(8): 84-88.

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Scalable Parallel Finite Volume Lattice Boltzmann Method Based on Unstructured Grid

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