A Novel Meshing Approach for Large Eddy Simulation

Author(s):  
Bin Zhang ◽  
Tong Wang ◽  
Chuan-gang Gu ◽  
Zheng-yuan Dai

In large eddy simulation (LES), the filtering grid scale (FGS) of LES equations is calculated generally by local mesh size. Therefore, proper LES Meshing is very decisive for better results and more economical cost. An effort was made to provide an available approach for LES meshing by turbulence theory and CFD methods. The expression for proper filtering grid scale (PFGS) was proposed on the basis of −5/3 law of inertial sub-range. A new parameter named grid ratio coefficient was put forward for the mesh adjustment. The proper mesh of LES could be built directly from the adjustment of RANS mesh. Two test cases both backward facing step flow and turbulent channel flow were provided to verify the approach. There were three kinds of mesh size, including coarse mesh for RANS (RCM), adjusted mesh for LES with the novel approach (NAM) and fine mesh for LES (LFM), employed here. The grid numbers of NAM were less than those of LFM evidently, and the results of NAM were in a good agreement with those of DNS and experiments. It was also revealed that results of NAM were very close to those of LFM. The conclusions provided positive evidences in the application of the approach.

2020 ◽  
Vol 12 (1) ◽  
pp. 39-53
Author(s):  
M. S. I. Mallik ◽  
M. A. Hoque ◽  
M. A. Uddin

This paper presents results of comparative study of large eddy simulation (LES) that is applied to a plane turbulent channel flow. The LES is performed by using a finite difference method of second order accuracy in space and a low-storage explicit Runge-Kutta method with third order accuracy in time. In the LES for subgrid-scale (SGS) modelling, Standard Smagorinsky Model (SSM) and Dynamic Smagorinsky Model (DSM) are used. Essential turbulence statistics from the two LES approaches are calculated and compared with those from direct numerical simulation (DNS) data. Comparing the results throughout the calculation domain, it has been found out that SSM performs better than DSM in the turbulent channel flow simulation. Flow structures in the computed flow field by the SSM and DSM are also discussed and compared through the contour plots and iso-surfaces.


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