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Statistically invariant eddy viscosity models
Author(s) -
Dario Klingenberg,
Martin Oberlack
Publication year - 2022
Publication title -
physics of fluids
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.188
H-Index - 180
eISSN - 1089-7666
pISSN - 1070-6631
DOI - 10.1063/5.0090988
Subject(s) - physics , turbulence , turbulence modeling , homogeneous space , invariant (physics) , statistical physics , reynolds stress , reynolds number , range (aeronautics) , classical mechanics , theoretical physics , mathematics , mathematical physics , mechanics , geometry , aerospace engineering , engineering
We presently generalize existing two-equation RANS models by using recent advances in our understanding of the Lie-symmetries governing turbulence. The motivation for this and the necessary steps are laid out using the conventional terminology of turbulence modeling, without requiring deep knowledge about the mathematical concept of symmetries. For illustration purposes, these steps are applied to the standard k-epsilon model and the k-omega model.The so modified k-epsilon model is applied to a wide range of canonical flows. For all of them, it is shown to match or even improve the performance of its classical counterpart and is, thus, shown to be more general than the original k-epsilon model

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