The lattice Boltzmann method (LBM) has gained increasing popularity in incompressible viscous flow simulations, but it uses many distribution functions (far more than the flow variables) and is often memory demanding. This disadvantage was overcome by a recent approach that solves the more actual macroscopic equations obtained through Taylor series expansion analysis of the lattice Boltzmann equations [Lu et al., J. Comput. Phys. 415, 109546 (2020)]. The key is to keep some small additional terms (SATs) to stabilize the numerical solution of the weakly compressible Navier-Stokes equations. However, there are many SATs that complicate the implementation of their method. Based on some analyses and numerous tests, we ultimately pinpoint two essential ingredients for stable simulations: (1) suitable density (pressure) diffusion added to the continuity equation and (2) proper numerical dissipation related to the velocity divergence added to the momentum equations. Then we propose a simplified method that is not only easier to implement but noticeably faster than the original method and the LBM. It contains much simpler SATs that only involve the density (pressure) derivatives, and it requires no intermediate steps or variables. As well, it is extended for thermal flows with small temperature variations and for two-phase flows with uniform density and viscosity. Several test cases, including some two-phase problems under two-dimensional, axisymmetric, and three-dimensional geometries, are presented to demonstrate its capability. This work may help pave the way for the simplest simulation of incompressible viscous flows on collocated grids based on the artificial compressibility methodology.
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Hong Kong Polytech Univ, Dept Mech Engn, Hong Kong, Hong Kong, Peoples R ChinaHong Kong Polytech Univ, Dept Mech Engn, Hong Kong, Hong Kong, Peoples R China
Fu, S. C.
So, R. M. C.
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Hong Kong Polytech Univ, Bldg Serv Engn Dept, Hong Kong, Hong Kong, Peoples R China
Purdue Univ, Dept Mech Engn, W Lafayette, IN 47907 USAHong Kong Polytech Univ, Dept Mech Engn, Hong Kong, Hong Kong, Peoples R China
So, R. M. C.
Leung, W. W. F.
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Hong Kong Polytech Univ, Res Inst Innovat Prod & Technol, Hong Kong, Hong Kong, Peoples R ChinaHong Kong Polytech Univ, Dept Mech Engn, Hong Kong, Hong Kong, Peoples R China
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Computat Sci Res Ctr, Beijing 100193, Peoples R ChinaComputat Sci Res Ctr, Beijing 100193, Peoples R China
Lallemand, Pierre
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Luo, Li-Shi
Krafczyk, Manfred
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Tech Univ Carolo Wilhelmina Braunschweig, Inst Computat Modeling Civil Engn iRMB, Pockelsstr 3, D-38106 Braunschweig, GermanyComputat Sci Res Ctr, Beijing 100193, Peoples R China
Krafczyk, Manfred
Yong, Wen-An
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Computat Sci Res Ctr, Beijing 100193, Peoples R China
Tsinghua Univ, Zhou Pei Yuan Ctr Appl Math, Beijing 100084, Peoples R ChinaComputat Sci Res Ctr, Beijing 100193, Peoples R China
机构:
Computational Science Research Center, Beijing,100193, ChinaComputational Science Research Center, Beijing,100193, China
Lallemand, Pierre
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Luo, Li-Shi
Krafczyk, Manfred
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Institute for Computational Modeling in Civil Engineering (iRMB), Technische Universität Braunschweig, Pockelsstraße 3, Braunschweig,38106, GermanyComputational Science Research Center, Beijing,100193, China
Krafczyk, Manfred
Yong, Wen-An
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Computational Science Research Center, Beijing,100193, China
Zhou Pei-Yuan Center for Applied Mathematics, Tsinghua University, Beijing,100084, ChinaComputational Science Research Center, Beijing,100193, China