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Regularization method for large eddy simulations of shock-turbulence interactions

•Aliasing errors complicate sub-grid turbulence modeling in shocked flows.•A dynamic regularization is proposed which removes high wavenumber errors.•Linear models suggest the regularization improves model performance over a shock. The rapid change in scales over a shock has the potential to introdu...

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Bibliographic Details
Published in:Journal of computational physics 2018-05, Vol.361 (C), p.231-246
Main Authors: Braun, N.O., Pullin, D.I., Meiron, D.I.
Format: Article
Language:English
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Summary:•Aliasing errors complicate sub-grid turbulence modeling in shocked flows.•A dynamic regularization is proposed which removes high wavenumber errors.•Linear models suggest the regularization improves model performance over a shock. The rapid change in scales over a shock has the potential to introduce unique difficulties in Large Eddy Simulations (LES) of compressible shock-turbulence flows if the governing model does not sufficiently capture the spectral distribution of energy in the upstream turbulence. A method for the regularization of LES of shock-turbulence interactions is presented which is constructed to enforce that the energy content in the highest resolved wavenumbers decays as k−5/3, and is computed locally in physical-space at low computational cost. The application of the regularization to an existing subgrid scale model is shown to remove high wavenumber errors while maintaining agreement with Direct Numerical Simulations (DNS) of forced and decaying isotropic turbulence. Linear interaction analysis is implemented to model the interaction of a shock with isotropic turbulence from LES. Comparisons to analytical models suggest that the regularization significantly improves the ability of the LES to predict amplifications in subgrid terms over the modeled shockwave. LES and DNS of decaying, modeled post shock turbulence are also considered, and inclusion of the regularization in shock-turbulence LES is shown to improve agreement with lower Reynolds number DNS.
ISSN:0021-9991
1090-2716
DOI:10.1016/j.jcp.2018.01.052