Consistency of the Full and Reduced Order Models for Evolve-Filter-Relax Regularization of Convection-Dominated, Marginally-Resolved Flows
Maria Strazzullo, Michele Girfoglio, Francesco Ballarin, Traian, Iliescu, Gianluigi Rozza

TL;DR
This paper examines the impact of numerical stabilization on the consistency between full order models and reduced order models in convection-dominated flows, demonstrating that applying stabilization at both levels improves accuracy.
Contribution
It introduces and compares two stabilization strategies, showing that consistent application of evolve-filter-relax regularization enhances ROM accuracy in challenging flow regimes.
Findings
EFR-EFRROM outperforms EFR-ROM in accuracy
FOM-ROM consistency improves model performance
Stabilization benefits are significant in marginally-resolved flows
Abstract
Numerical stabilization is often used to eliminate (alleviate) the spurious oscillations generally produced by full order models (FOMs) in under-resolved or marginally-resolved simulations of convection-dominated flows. In this paper we investigate the role of numerical stabilization in reduced order models (ROMs) of convection-dominated, marginally-resolved flows. Specifically, we investigate the FOM-ROM consistency, i.e., whether the numerical stabilization is beneficial both at the FOM and the ROM level. As a numerical stabilization strategy, we focus on the evolve-filter-relax (EFR) regularization algorithm, which centers around spatial filtering. To investigate the FOM-ROM consistency, we consider two ROM strategies: (i) the EFR-ROM, in which the EFR stabilization is used at the FOM level, but not at the ROM level; and (ii) the EFR-EFRROM, in which the EFR stabilization is used…
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