Implicit high-order gas-kinetic schemes for compressible flows on three-dimensional unstructured meshes I: Steady flows

被引:0
|
作者
Yang, Yaqing [1 ,2 ]
Pan, Liang [1 ]
Xu, Kun [2 ,3 ]
机构
[1] Beijing Normal Univ, Sch Math Sci, Lab Math & Complex Syst, Beijing, Peoples R China
[2] Hong Kong Univ Sci & Technol, Dept Math, Kowloon, Clear Water Bay, Hong Kong, Peoples R China
[3] Hong Kong Univ Sci & Technol, Shenzhen Res Inst, Shenzhen, Peoples R China
基金
中国国家自然科学基金; 国家重点研发计划; 北京市自然科学基金;
关键词
High-order gas-kinetic scheme; Implicit method; Unstructured meshes; GPU accelerated computation; DISCONTINUOUS GALERKIN METHOD; NAVIER-STOKES EQUATIONS; ESSENTIALLY NONOSCILLATORY SCHEMES; HERMITE WENO SCHEMES; ACCURATE; EULER; ALGORITHM; LIMITERS; SOLVER;
D O I
10.1016/j.jcp.2024.112902
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
In the previous studies, the high-order gas-kinetic schemes (HGKS) have achieved successes for unsteady flows on three-dimensional unstructured meshes. In this paper, to accelerate the rate of convergence for steady flows, the implicit non-compact and compact HGKSs are developed. For non-compact scheme, the simple weighted essentially non-oscillatory (WENO) reconstruction is used to achieve the spatial accuracy, where the stencils for reconstruction contain two levels of neighboring cells. Incorporate with the nonlinear generalized minimal residual (GMRES) method, the implicit non-compact HGKS is developed. In order to improve the resolution and parallelism of non-compact HGKS, the implicit compact HGKS is developed with Hermite WENO (HWENO) reconstruction, in which the reconstruction stencils only contain one level of neighboring cells. The cell averaged conservative variable is also updated with GMRES method. Simultaneously, a simple strategy is used to update the cell averaged gradient by the time evolution of spatialtemporal coupled gas distribution function. To accelerate the computation, the implicit noncompact and compact HGKSs are implemented with the graphics processing unit (GPU) using compute unified device architecture (CUDA). A variety of numerical examples, from the subsonic to supersonic flows, are presented to validate the accuracy, robustness and efficiency of both inviscid and viscous flows.
引用
收藏
页数:21
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