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

被引:0
|
作者
Hu, Zhicheng [1 ,2 ]
Li, Guanghan [1 ,2 ]
机构
[1] Nanjing Univ Aeronaut & Astronaut, Sch Math, Nanjing 211106, Peoples R China
[2] MIIT, Key Lab Math Modelling & High Performance Comp Air, Nanjing 211106, Peoples R China
基金
中国国家自然科学基金;
关键词
Boltzmann equation; moment method; multigrid; rarefied gas flow; steady state; REGULARIZED MOMENT METHOD; STEADY-STATE SOLVER; BOLTZMANN-EQUATION; SPECTRAL METHOD; ORDER; MICROFLOWS; MODELS; ACCELERATION;
D O I
10.4208/cicp.OA-2022-0271
中图分类号
O4 [物理学];
学科分类号
0702 ;
摘要
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.
引用
收藏
页码:357 / 391
页数:35
相关论文
共 50 条
  • [31] Lattice Boltzmann approach for the simulation of rarefied gas flow in the slip flow regime
    Namgyun Jeong
    Journal of Mechanical Science and Technology, 2013, 27 : 1753 - 1761
  • [32] An efficient multigrid solver for a reformulated version of the poroelasticity system
    Gaspar, F. J.
    Lisbona, F. J.
    Oosterlee, C. W.
    Vabishchevich, P. N.
    COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING, 2007, 196 (08) : 1447 - 1457
  • [33] An efficient algebraic multigrid preconditioned conjugate gradient solver
    Iwamura, C
    Costa, FS
    Sbarski, I
    Easton, A
    Li, NA
    COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING, 2003, 192 (20-21) : 2299 - 2318
  • [34] An Efficient Algebraic Multigrid Solver Strategy for Adaptive Implicit Methods in Oil-Reservoir Simulation
    Clees, T.
    Ganzer, L.
    SPE JOURNAL, 2010, 15 (03): : 670 - 681
  • [35] Application of an algebraic multigrid solver to process simulation problems
    Füllenbach, T
    Stüben, K
    Mijalkovic, S
    2000 INTERNATIONAL CONFERENCE ON SIMULATION OF SEMICONDUCTOR PROCESSES AND DEVICES, 2000, : 225 - 228
  • [36] A multigrid solver for phase field simulation of microstructure evolution
    Vanherpe, Liesbeth
    Wendler, Frank
    Nestler, Britta
    Vandewalle, Stefan
    MATHEMATICS AND COMPUTERS IN SIMULATION, 2010, 80 (07) : 1438 - 1448
  • [37] Nonlinear Multigrid for Reservoir Simulation
    Christensen, Max la Cour
    Eskildsen, Klaus Langgren
    Engsig-Karup, Allan Peter
    Wakefield, Mark
    SPE JOURNAL, 2016, 21 (03): : 888 - 898
  • [38] MULTIGRID ACCELERATION OF A BLOCK STRUCTURED COMPRESSIBLE FLOW SOLVER
    KUERTEN, H
    GEURTS, B
    JOURNAL OF ENGINEERING MATHEMATICS, 1995, 29 (01) : 11 - 31
  • [39] Nonlinear multigrid diffusion model for efficient dense optical flow estimation
    Yang, LX
    Sahli, H
    2005 International Conference on Image Processing (ICIP), Vols 1-5, 2005, : 749 - 752
  • [40] COMPUTATION OF FLUID-FLOW WITH A PARALLEL MULTIGRID SOLVER
    SCHRECK, E
    PERIC, M
    INTERNATIONAL JOURNAL FOR NUMERICAL METHODS IN FLUIDS, 1993, 16 (04) : 303 - 327