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Regularization modeling for large-eddy simulation
DOI:10.1063/1.1529180.png)
Abstract
En 中文
A new modeling approach for large-eddy simulation (LES) is obtained by combining a regularization principle'' with an explicit filter and its inversion. This regularization approach allows a systematic derivation of the implied subgrid model, which resolves the closure problem. The central role of the filter in LES is fully restored, i.e., both the interpretation of LES predictions in terms of direct simulation results as well as the corresponding subgrid closure are specified by the filter. The regularization approach is illustrated with Leray-smoothing'' of the nonlinear convective terms. In turbulent mixing the new, implied subgrid model performs favorably compared to the dynamic eddy-viscosity procedure. The model is robust at arbitrarily high Reynolds numbers and correctly predicts self-similar turbulent flow development. (C) 2003 American Institute of Physics.
Keywords:
MIXING LAYER
TURBULENCE
Journal
IF:
4.3
Papers:
2.9W
Citations:
8.0W
Organization
No organization information available
Cited Papers
Dynamic inverse modeling and its testing in large-eddy simulations of the mixing layer
PHYSICS OF FLUIDS
IF4.3
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