Spatial Filtering for Reduced Order Modeling
Numerical Analysis
2017-07-14 v1
Abstract
Spatial filtering has been central in the development of large eddy simulation reduced order models (LES-ROMs) and regularized reduced order models (Reg-ROMs), In this paper, we perform a numerical investigation of spatial filtering. To this end, we consider one of the simplest Reg-ROMs, the Leray ROM (L-ROM), which uses ROM spatial filtering to smooth the flow variables and decreases the amount of energy aliased to the lower index ROM basis functions. We also propose a new form of ROM differential filter and use it as a spatial filter for the L-ROM. We investigate the performance of this new form of ROM differential filter in the numerical simulation of a flow past a circular cylinder at a Reynolds number .
Keywords
Cite
@article{arxiv.1707.04133,
title = {Spatial Filtering for Reduced Order Modeling},
author = {L. C. Berselli and D. Wells and X. Xie and T. Iliescu},
journal= {arXiv preprint arXiv:1707.04133},
year = {2017}
}
Comments
6 pages, 3 figures