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Prediction of separation flows around a 6:1 prolate spheroid using RANS/LES hybrid approaches
摘    要:

关 键 词:流体  涡流  非线性修正  混合
收稿时间:7 February 2006
修稿时间:29 December 2006

Prediction of separation flows around a 6:1 prolate spheroid using RANS/LES hybrid approaches
Authors:Zhixiang Xiao  Yufei Zhang  Jingbo Huang  Haixin Chen  Song Fu
Institution:(1) School of Aerospace Engineering, Tsinghua University, Beijing, 100084, China
Abstract:This paper presents hybrid Reynolds-averaged Navier–Stokes (RANS) and large-eddy-simulation (LES) methods for the separated flows at high angles of attack around a 6:1 prolate spheroid. The RANS/LES hybrid methods studied in this work include the detached eddy simulation (DES) based on Spalart–Allmaras (S–A), Menter’s k–ω shear-stress-transport (SST) and k–ω with weakly nonlinear eddy viscosity formulation (Wilcox–Durbin+, WD+) models and the zonal-RANS/LES methods based on the SST and WD+ models. The switch from RANS near the wall to LES in the core flow region is smooth through the implementation of a flow-dependent blending function for the zonal hybrid method. All the hybrid methods are designed to have a RANS mode for the attached flows and have a LES behavior for the separated flows. The main objective of this paper is to apply the hybrid methods for the high Reynolds number separated flows around prolate spheroid at high-incidences. A fourth-order central scheme with fourth-order artificial viscosity is applied for spatial differencing. The fully implicit lower–upper symmetric-Gauss–Seidel with pseudo time sub-iteration is taken as the temporal differentiation. Comparisons with available measurements are carried out for pressure distribution, skin friction, and profiles of velocity, etc. Reasonable agreement with the experiments, accounting for the effect on grids and fundamental turbulence models, is obtained for the separation flows. The project supported by the National Natural Science Foundation of China (10502030 and 90505005).
Keywords:RANS/LES hybrid methods  DES  Zonal-RANS/LES  Weakly nonlinear correction
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