Discrete-Velocity Vector-BGK Models Based Numerical Methods for the Incompressible Navier-Stokes Equations

被引:8
|
作者
Zhao, Jin [1 ]
机构
[1] Beijing Computat Sci Res Ctr, Div Appl & Computat Math, Beijing 100193, Peoples R China
基金
中国国家自然科学基金;
关键词
Vector-BGK models; incompressible Navier-Stokes equations; Maxwell iteration; weighted L-2-stability; LATTICE BOLTZMANN METHOD; KINETIC SCHEMES; APPROXIMATION; CONVERGENCE; STABILITY;
D O I
10.4208/cicp.OA-2019-0192
中图分类号
O4 [物理学];
学科分类号
0702 ;
摘要
In this paper, we propose a class of numerical methods based on discretevelocity vector-BGK models for the incompressible Navier-Stokes equations. By analyzing a splitting method with Maxwell iteration, we show that the usual lattice Boltzmann discretization of the vector-BGK models provides a good numerical scheme. Moreover, we establish the stability of the numerical scheme. The stability and secondorder accuracy of the scheme are validated through numerical simulations of the twodimensional Taylor-Green vortex flows. Further numerical tests are conducted to exhibit some potential advantages of the vector-BGK models, which can be regarded as competitive alternatives of the scalar-BGK models.
引用
收藏
页码:420 / 444
页数:25
相关论文
共 50 条