A new approach to turbulence modeling
作者： P. Moin , B. Perot
DOI:
关键词: Mechanics 、 Reynolds-averaged Navier–Stokes equations 、 K-epsilon turbulence model 、 Reynolds decomposition 、 Reynolds stress 、 K-omega turbulence model 、 Mathematics 、 Statistical physics 、 Direct numerical simulation 、 Turbulence modeling 、 Reynolds stress equation model
摘要: A new approach to Reynolds averaged turbulence modeling is proposed which has a computational cost comparable two equation models but predictive capability approaching that of stress transport models. This isolates the crucial information contained within tensor, and solves equations only for set 'reduced' variables. In this work, Direct Numerical Simulation (DNS) data used analyze nature these newly quantities source terms appear in their respective equations. The physical relevance discussed some initial results turbulent channel flow are presented.
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