Development of a Recursion RNG-based Turbulence Model
Author | : Institute for Computer Applications in Science and Engineering |
Publisher | : |
Total Pages | : 36 |
Release | : 1993 |
Genre | : |
ISBN | : |
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Author | : Institute for Computer Applications in Science and Engineering |
Publisher | : |
Total Pages | : 36 |
Release | : 1993 |
Genre | : |
ISBN | : |
Author | : National Aeronautics and Space Administration (NASA) |
Publisher | : Createspace Independent Publishing Platform |
Total Pages | : 34 |
Release | : 2018-07-02 |
Genre | : |
ISBN | : 9781722161194 |
Reynolds stress closure models based on the recursion renormalization group theory are developed for the prediction of turbulent separated flows. The proposed model uses a finite wavenumber truncation scheme to account for the spectral distribution of energy. In particular, the model incorporates effects of both local and nonlocal interactions. The nonlocal interactions are shown to yield a contribution identical to that from the epsilon-renormalization group (RNG), while the local interactions introduce higher order dispersive effects. A formal analysis of the model is presented and its ability to accurately predict separated flows is analyzed from a combined theoretical and computational stand point. Turbulent flow past a backward facing step is chosen as a test case and the results obtained based on detailed computations demonstrate that the proposed recursion -RNG model with finite cut-off wavenumber can yield very good predictions for the backstep problem. Zhou, YE and Vahala, George and Thangam, S. Langley Research Center NAS1-19480; RTOP 505-90-52-01...
Author | : |
Publisher | : |
Total Pages | : 1372 |
Release | : 1994 |
Genre | : Government reports announcements & index |
ISBN | : |
Author | : Ye Zhou |
Publisher | : |
Total Pages | : 68 |
Release | : 1997 |
Genre | : |
ISBN | : |
The terms renormalization and renormalization group are explained by reference to various physical systems. The extension of renormalization group to turbulence is then discussed; first as a comprehensive review and second concentrating on the technical details of a few selected approaches. We conclude with a discussion of the relevance and application of renormalization at group to turbulence modelling.