A dynamic subgrid-scale modeling framework for large eddy simulation using approximate deconvolution

Romit Maulik; Omer San

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arXiv · 1604.08646

A dynamic subgrid-scale modeling framework for large eddy simulation using approximate deconvolution

Romit Maulik·Omer San

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Abstract

We put forth a dynamic modeling framework for sub-grid parametrization of large eddy simulation of turbulent flows based upon the use of the approximate deconvolution procedure to compute the Smagorinsky constant self-adaptively from the resolved flow quantities. Our numerical assessments for solving the Burgers turbulence problem shows that the proposed approach could be used as a viable tool to address the turbulence closure problem due to its flexibility.

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Romit Maulik, Omer San. 2016-04-28. A dynamic subgrid-scale modeling framework for large eddy simulation using approximate deconvolution. https://arxiv.org/abs/1604.08646

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