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Dynamic optimization methodology based on subgrid-scale dissipation for large eddy simulation

发表日期:2017-01-04XinLiang Li来源:放大 缩小

A dynamic procedure based on subgrid-scale dissipation is proposed for large eddy simulation of turbulent flows. In the new method, the model coefficients are determined by minimizing the square error of the resolved dissipation rate based on the Germano identity. A dynamic two-term mixed model is tested and evaluated both a priori and a posteriori in simulations of homogeneous and isotropic turbulence. The new dynamic procedure proves to be more effective to optimize the model coefficients as compared with traditional method. The corresponding dynamic mixed model can predict the physical quantities more accurately than traditional dynamic mixed model. (C) 2016 AIP Publishing LLC.

 

http://dx.doi.org/10.1063/1.4940044

 

We wish to thank Dexun Fu and Yanwen Ma for fruitful discussions on this work. This work was supported by the NSFC Projects (Nos. 11472278, 91441103, 11372007, and 11372330), the 863 Program (No. 2012AA01A304), and the CAS Program (Nos. KJCX2-EW-J01 and XXH12503-02-02-04).