Prediction of separation flows around a 6:1 prolate spheroid using RANS/LES hybrid approaches |
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摘 要: |
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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 |
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Authors: | Zhixiang Xiao Yufei Zhang Jingbo Huang Haixin Chen Song Fu |
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Institution: | (1) School of Aerospace Engineering, Tsinghua University, Beijing, 100084, China |
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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). |
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Keywords: | RANS/LES hybrid methods DES Zonal-RANS/LES Weakly nonlinear correction |
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