Data-driven variational multiscale reduced order models

C Mou, B Koc, O San, LG Rebholz, T Iliescu - Computer Methods in Applied …, 2021 - Elsevier
We propose a new data-driven reduced order model (ROM) framework that centers around
the hierarchical structure of the variational multiscale (VMS) methodology and utilizes data …

On closures for reduced order models—A spectrum of first-principle to machine-learned avenues

SE Ahmed, S Pawar, O San, A Rasheed, T Iliescu… - Physics of …, 2021 - pubs.aip.org
For over a century, reduced order models (ROMs) have been a fundamental discipline of
theoretical fluid mechanics. Early examples include Galerkin models inspired by the Orr …

Residual-Based Stabilized Reduced-Order Models of the Transient Convection–Diffusion–Reaction Equation Obtained Through Discrete and Continuous Projection

E Parish, M Yano, I Tezaur, T Iliescu - Archives of Computational Methods …, 2024 - Springer
Abstract Galerkin and Petrov–Galerkin projection-based reduced-order models (ROMs) of
transient partial differential equations are typically obtained by performing a dimension …

A Priori Error Bounds for POD-ROMs for Fluids: A Brief Survey

F Ballarin, T Iliescu - arXiv preprint arXiv:2409.00621, 2024 - arxiv.org
Galerkin reduced order models (ROMs), eg, based on proper orthogonal decomposition
(POD) or reduced basis methods, have achieved significant success in the numerical …

Reduced order model closures: A brief tutorial

W Snyder, C Mou, H Liu, O San, R DeVita… - Recent Advances in …, 2022 - Springer
In this paper, we present a brief tutorial on reduced order model (ROM) closures. First, we
carefully motivate the need for ROM closure modeling in under-resolved simulations. Then …

A modular regularized variational multiscale proper orthogonal decomposition for incompressible flows

FG Eroglu, S Kaya, LG Rebholz - Computer Methods in Applied Mechanics …, 2017 - Elsevier
In this paper, we propose, analyze and test a post-processing implementation of a projection-
based variational multiscale (VMS) method with proper orthogonal decomposition (POD) for …

Residual Data-Driven Variational Multiscale Reduced Order Models for Parameter Dependent Problems

B Koc, S Rubino, TC Rebollo, T Iliescu - arXiv preprint arXiv:2208.00059, 2022 - arxiv.org
In this paper, we investigate the modeling of sub-scale components of proper orthogonal
decomposition reduced order models (POD-ROMs) of convection-dominated flows. We …

Decoupled modular regularized VMS-POD for Darcy-Brinkman equations

F Güler Eroğlu, S Kaya, LG Rebholz - 2019 - acikerisim.bartin.edu.tr
We extend the post-processing implementation of a projection based variational multiscale
(VMS) method with proper orthogonal decomposition (POD) to flows governed by double …

An Adaptive Time Filtered Backward Euler Method for Reduced-Order Models of Incompressible Flows

FG Eroğlu - Gazi University Journal of Science, 2023 - dergipark.org.tr
This paper studies a reduced-order model based on proper orthogonal decomposition
(POD) for the incompressible Navier-Stokes equations. The difficulties resulting from …

[PDF][PDF] Journal of Science

FG EROGLU - scholar.archive.org
This paper considers the incompressible Navier-Stokes equations (NSE) in the
dimensionless form: 𝒖𝑡− 𝜈 Δ 𝒖+(𝒖⋅∇) 𝒖+∇ 𝑝= 𝒇 𝑖𝑛 (0, 𝜏]× Ω,∇⋅ 𝒖= 0 𝑖𝑛 (0, 𝜏]× Ω, 𝒖 …