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Critical evaluation of two-equation models for near-wall turbulence
Author(s) -
Charles G. Speziale,
Ridha Abid,
E. C. Anderson
Publication year - 1992
Publication title -
aiaa journal
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.828
H-Index - 158
eISSN - 1081-0102
pISSN - 0001-1452
DOI - 10.2514/3.10922
Subject(s) - turbulence , dissipation , omega , physics , boundary value problem , boundary (topology) , turbulence modeling , k omega turbulence model , turbulence kinetic energy , direct numerical simulation , statistical physics , mechanics , mathematics , classical mechanics , mathematical analysis , thermodynamics , reynolds number , quantum mechanics
: A variety of two-equation turbulence models - including several versions of the K-epsilon model as well as the K-omega model - are analyzed critically for near wall turbulent flows from a theoretical and computational standpoint. It is shown that the K-epsilon model has two major problems associated with it: the lack of natural boundary conditions for the dissipation rate and the appearance of higher-order correlations in the balance of terms for the dissipation rate at the wall. In so far as the former problem is concerned, either physically inconsistent boundary conditions have been used or the boundary conditions for the dissipation rate have been tied to higher-order derivatives of the turbulent kinetic energy which leads to numerical stiffness. The K-omega model can alleviate these problems since the asymptotic behavior of w is known in more detail and since its near wall balance involves only exact viscous terms. However, the modeled form of the omega equation that is used in the literature is incomplete - an exact viscous term is missing which causes the model to behave in an asymptotically inconsistent manner. By including this viscous term - and by introducing new wall damping functions with improved asymptotic behavior - a new K-TAU model (where TAU = 1/omega is turbulent time scale) is developed. It is demonstrated that this new model is computationally robust and yields improved predictions for turbulent boundary layers. (JHD)

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