Implicit high-order gas kinetic scheme for turbulence simulation

被引:27
作者
Cao, Guiyu [1 ]
Su, Hongmin [2 ]
Xu, Jinxiu [3 ]
Xu, Kun [1 ,4 ]
机构
[1] Hong Kong Univ Sci & Technol, Dept Mech & Aerosp Engn, Dept Math, Kowloon, Clear Water Bay, Hong Kong, Peoples R China
[2] Northwestern Polytech Univ, Natl Key Lab Sci & Technol Aerodynam Design & Res, Xian 710072, Shaanxi, Peoples R China
[3] JiangNan Inst Comp Technol, Wuxi 214121, Jiangsu, Peoples R China
[4] HKUST Shenzhen Res Inst, Shenzhen 518057, Peoples R China
基金
美国国家科学基金会;
关键词
Implicit high-order GKS; Two-stage fourth-order scheme; LU-SGS; Time-relaxation turbulence simulation; NAVIER-STOKES EQUATIONS; BGK SCHEME; FLOW; MODEL; IMPLEMENTATION; EFFICIENT;
D O I
10.1016/j.ast.2019.07.020
中图分类号
V [航空、航天];
学科分类号
08 ; 0825 ;
摘要
In recent years, coupled with traditional turbulence models, the second-order gas-kinetic scheme (GKS) has been used in the turbulent flow simulations. At the same time, high-order GKS has been developed, such as the two-stage fourth-order scheme (S2O4) GKS, and used for laminar flow calculations. In this paper, targeting on the high-Reynolds number engineering turbulent flows, an implicit high-order GKS with Lower-Upper Symmetric Gauss-Seidel (LU-SGS) technique is developed under the S2O4 framework. Based on Vreman-type LES model and k - omega SST model, a turbulent relaxation time is obtained and used for the determination of an enlarged particle collision time for the high-Reynolds number turbulent flow simulation. Numerical experiments include incompressible decaying homogeneous isotropic turbulence, incompressible high-Reynolds number flat plate turbulent flow, incompressible turbulence around NACA0012 airfoil, transonic turbulence around RAE2822 airfoil, and transonic high-Reynolds number ARA M100 wing-body simulation. Comparisons among the numerical solutions from current implicit high-order GKS, the explicit high-order GKS, the implicit second-order GKS, and experimental measurements have been conducted. Through these examples, it is concluded that the high-order GKS has high accuracy in space and time, especially for smooth flows, and obtains more accurate turbulent flow fields on coarse grids than the second-order GKS. In addition, significant acceleration on computational efficiency, as well as super robustness in simulating complex flows are confirmed from the current implicit high-order GKS. This study also indicates that turbulence modeling plays a dominant role in capturing physical solution, such as in the transonic three-dimensional complex RANS simulation, which is beyond the numerical discretization error, such as the differences between the second and fourth-order GKS. (C) 2019 Elsevier Masson SAS. All rights reserved.
引用
收藏
页码:958 / 971
页数:14
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