Effect of grid sensitivity on the performance of wall adapting SGS models for LES of swirling and separating-reattaching flows

被引:33
作者
Arya, Nitish [1 ]
De, Ashoke [1 ]
机构
[1] Indian Inst Technol Kanpur, Kanpur 208016, Uttar Pradesh, India
关键词
LES; Dynamic Smagorinsky; WALE; Dynamic WALE; Separating-reattaching flows; LARGE-EDDY SIMULATION; TURBULENT-FLOW; FLAME; GRADIENT; QUALITY;
D O I
10.1016/j.camwa.2019.03.038
中图分类号
O29 [应用数学];
学科分类号
070104 ;
摘要
The present study assesses the performance of the Wall Adapting SGS models along with the Dynamic Smagorinsky model for flows involving separation, reattachment and swirl. Due to the simple geometry and wide application in a variety of engineering systems, the Backward-Facing Step (BFS) geometry and Confined Swirling Flow (CSF) geometry are invoked in the present case. The calculation of the SGS stresses employs three models, namely, the Dynamic Smagorinsky model, the Wall Adapting Local Eddy viscosity (WALE) model and the Dynamic WALE model. For studying the effect of the grid sensitivity, the simulations are performed over two sets of grids with different resolutions based on the non-dimensional wall distance parameter ( y(+) ). Grids corresponding to y(+) = 70 and y(+) = 20 are employed for the subsonic flow over the BFS while grids corresponding to y(+) = 40 and y(+) = 20 are employed for supersonic flow over the BFS and for confined swirling flow geometry. The validation against the experimental results includes the mean flow fields and the turbulent stresses obtained for each case. The results reveal that for the fine grid (y(+) = 20), the near wall eddy viscosity profile for the WALE model is better than both the Dynamic WALE and the Dynamic Smagorinsky model. The difference between the predictions of the coarse and fine grids for Dynamic Smagorinsky and the WALE model is high whereas, the Dynamic WALE model is almost insensitive to the grid resolutions considered for the present case. The mean velocity and pressure values as well as the turbulent quantities predicted by the Dynamic WALE model are closest to the experimental values for all the cases. (C) 2019 Elsevier Ltd. All rights reserved.
引用
收藏
页码:2035 / 2051
页数:17
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