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ACTA AERONAUTICAET ASTRONAUTICA SINICA ›› 2014, Vol. 35 ›› Issue (11): 2992-2999.doi: 10.7527/S1000-6893.2013.0522

• Fluid Mechanics and Flight Mechanics • Previous Articles     Next Articles

A RANS/LES Hybrid Model Based on Local Flow Structure

XU Jinglei1, GAO Ge1, YANG Yan2   

  1. 1. National Key Laboratory of Science and Technology on Aero-Engines Aero-thermodynamics, School of Energy and Power Engineering, Beihang University, Beijing 100191, China;
    2. State Key Laboratory of High-temperature Gas Dynamics, Institute of Mechanics, Chinese Academy of Sciences, Beijing 100190, China
  • Received:2013-11-11 Revised:2014-01-16 Online:2014-11-25 Published:2014-02-21
  • Supported by:

    National Natural Science Foundation of China (11002014)

Abstract:

In order to overcome the inherent deficiency of the traditional Reynolds Averaged Navier-Stokes/large eddy simulation (RANS/LES) hybrid model, i.e., 'the bridging problem of RANS and LES', a discriminating function extracted from Vreman's subgrid-scale (SGS) model, which is used to describe flow regimes, is employed to formulate a new RANS/LES hybrid model. The model coefficients are calibrated by incompressible turbulent channel flows. The test cases include incompressible turbulent channel flows, stable-state supersonic boundary layers over a flat plate, flow past NACA4412 airfoil and flow past a circular cylinder at subcritical Reynolds numbers. This new model is not only able to solve the modeled-stress-depletion problem, but also greatly raises the accuracy when compared with the traditional RANS/LES hybrid approach, such as detached eddy simulation (DES) in predicting large-scale unsteadiness. Furthermore, the model can also solve the log-layer mismatch (LLM) problem when RANS/LES hybrid is employed as wall modeled LES, thus extending the ability of Vreman's LES model in dealing with coarse meshes. The accuracy is greatly improved.

Key words: turbulence model, hybrid RANS/LES, large-scale separation, large eddy simulation, detached eddy simulation

CLC Number: