A dynamic subgrid-scale modeling framework for large eddy simulation using approximate deconvolution
Fluid Dynamics
2016-05-02 v1
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.
Cite
@article{arxiv.1604.08646,
title = {A dynamic subgrid-scale modeling framework for large eddy simulation using approximate deconvolution},
author = {Romit Maulik and Omer San},
journal= {arXiv preprint arXiv:1604.08646},
year = {2016}
}