English

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 Re=760Re=760.

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

R2 v1 2026-06-22T20:45:59.282Z