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A predictive wall model for large-eddy simulation based on optimal control techniques
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DOI：10.1063/1.2930673.png)
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Abstract
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Wall models for large-eddy simulation (LES) based on optimal control theory have so far been nonpredictive due to the need to prescribe a known mean velocity profile to the controller. In this study, LES is coupled with a near-wall Reynolds-averaged Navier-Stokes (RANS) model that provides a target velocity for the cost function. For the wall model to be accurate and robust, the LES and RANS must not only be tied together via the controller but directly coupled to each other through boundary conditions. The method proves to be accurate and robust over a wide range of Reynolds numbers in a plane channel flow. It is shown that the control reacts only locally in all spatial directions, justifying the current control formulation and suggesting directions for future model development. Further, instantaneous velocity fields of the coarse LES indicate that the dynamics of the near-wall flow are very dependent on the computational grid, demonstrating that a control strategy is required in addition to physical reasoning for wall modeling. (C) 2008 American Institute of Physics.
Keywords:
APPROXIMATE BOUNDARY-CONDITIONS
TURBULENT CHANNEL FLOW
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