Reduced order models (ROMs) have achieved a lot of success in reducing the
computational cost of traditional numerical methods across many disciplines. For convection …

This paper proposes a large eddy simulation reduced order model (LES-ROM) framework
for the numerical simulation of convection-dominated flows. In this LES-ROM framework, the …

In this paper, we propose a novel ROM stabilization strategy for under-resolved convection-
dominated flows, the approximate deconvolution Leray ROM (ADL-ROM). The new ADL …

In this paper, we propose a filter-based stabilization of reduced order models (ROMs) for
uncertainty quantification (UQ) of the time-dependent Navier--Stokes equations in …

In this thesis, I examine filtering based stabilization methods to design new regularized
reduced order models (ROMs) for under-resolved simulations of unsteady, nonlinear …

The goal of this thesis is the reduced order modelling (ROM) of fluid mechanics problems by
using the proper orthogonal decomposition (POD). The main motivation of this work is the …

In this paper, we propose a novel ROM stabilization strategy for underresolved convection-
dominated flows, the approximate deconvolution Leray ROM (ADL-ROM). The new ADL …

Computational modeling is a pillar of modern aerospace research and is increasingly
becoming more important as computer technology and numerical methods grow more …

In this paper, we propose a nonintrusive filter-based stabilization of reduced order models
(ROMs) for uncertainty quantification (UQ) of the time-dependent Navier-Stokes equations in …

Abstract Model order reduction techniques are a powerful tool to ease the computational
burden of simulating complex systems. By reducing the dimensionality of high-fidelity …