Variational Multiscale Proper Orthogonal Decomposition: Convection-Dominated Convection-Diffusion Equations
Traian iliescu, Zhu Wang

TL;DR
This paper presents a variational multiscale closure approach to stabilize proper orthogonal decomposition reduced-order models for convection-dominated convection-diffusion equations, improving accuracy and convergence.
Contribution
It introduces a novel variational multiscale closure method specifically designed for POD models in convection-dominated problems, with theoretical analysis and numerical validation.
Findings
Enhanced numerical accuracy over standard POD models
Theoretical convergence rates confirmed by numerical tests
Effective stabilization for convection-dominated equations
Abstract
We introduce a variational multiscale closure modeling strategy for the numerical stabilization of proper orthogonal decomposition reduced-order models of convection-dominated equations. As a first step, the new model is analyzed and tested for convection-dominated convection-diffusion equations. The numerical analysis of the finite element discretization of the model is presented. Numerical tests show the increased numerical accuracy over the standard reduced-order model and illustrate the theoretical convergence rates.
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Taxonomy
TopicsModel Reduction and Neural Networks · Advanced Numerical Methods in Computational Mathematics · Advanced Mathematical Modeling in Engineering
