Stabilized reduced-order models for unsteady incompressible flows in three-dimensional parametrized domains
type: Item
instance of: scholarly article
title: Stabilized reduced-order models for unsteady incompressible flows in three-dimensional parametrized domains
author: Stefano Buoso
author: Andrea Manzoni
author: Hatem Alkadhi
author: Vartan Kurtcuoglu
published in: Computers and Fluids
publication date: 2022-10-17T00:00:00Z
Mathematics Subject Classification ID: 76-XX
zbMATH DE Number: 7602505
zbMATH Keywords: computational fluid dynamics
zbMATH Keywords: finite-elements
zbMATH Keywords: proper orthogonal decomposition
zbMATH Keywords: reduced order modeling
zbMATH Keywords: stabilization techniques
zbMATH Keywords: discrete empirical interpolation
describes a project that uses: redbKIT
describes a project that uses: FEniCS
MaRDI profile type: Publication
full work available at URL: j.compfluid.2022.105604
OpenAlex ID: W4286268116
cites work: The cardiovascular system: Mathematical modelling, numerical algorithms and clinical applications
cites work: Machine Learning for Fluid Mechanics
cites work: Deep learning in fluid dynamics
cites work: Physics-informed neural networks: a deep learning framework for solving forward and inverse problems involving nonlinear partial differential equations
cites work: Machine learning in cardiovascular flows modeling: predicting arterial blood pressure from non-invasive 4D flow MRI data using physics-informed neural networks
cites work: Hidden fluid mechanics: Learning velocity and pressure fields from flow visualizations
cites work: A comprehensive deep learning-based approach to reduced order modeling of nonlinear time-dependent parametrized PDEs
cites work: POD-DL-ROM: enhancing deep learning-based reduced order models for nonlinear parametrized PDEs by proper orthogonal decomposition
cites work: Reduced Basis Methods for Partial Differential Equations
cites work: Galerkin Proper Orthogonal Decomposition Methods for a General Equation in Fluid Dynamics
cites work: Reduced-order modeling of time-dependent PDEs with multiple parameters in the boundary data
cites work: Enablers for robust POD models
cites work: Numerical methods for low‐order modeling of fluid flows based on POD
cites work: Supremizer stabilization of POD-Galerkin approximation of parametrized steady incompressible Navier-Stokes equations
cites work: Hyper-reduced order models for parametrized unsteady Navier-Stokes equations on domains with variable shape
cites work: Certified real‐time solution of the parametrized steady incompressible Navier–Stokes equations: rigorous reduced‐basis a posteriori error bounds
cites work: Reduced Basis Error Bound Computation of Parameter-Dependent Navier–Stokes Equations by the Natural Norm Approach
cites work: An efficient computational framework for reduced basis approximation and a posteriori error estimation of parametrized Navier-Stokes flows
cites work: A Space-Time Petrov--Galerkin Certified Reduced Basis Method: Application to the Boussinesq Equations
cites work: POD-Galerkin method for finite volume approximation of Navier-Stokes and RANS equations
cites work: Finite volume POD-Galerkin stabilised reduced order methods for the parametrised incompressible Navier-Stokes equations
cites work: Reduced basis approximation and a posteriori error estimation for Stokes flows in parametrized geometries: roles of the inf-sup stability constants
cites work: Efficient non linear model reduction via a least-squares Petrov-Galerkin projection and compressive tensor approximations
cites work: An algebraic least squares reduced basis method for the solution of nonaffinely parametrized Stokes equations
cites work: A numerical investigation of velocity-pressure reduced order models for incompressible flows
cites work: Proper orthogonal decomposition closure models for turbulent flows: a numerical comparison
cites work: A reduced order variational multiscale approach for turbulent flows
cites work: A stabilized POD model for turbulent flows over a range of Reynolds numbers: optimal parameter sampling and constrained projection
cites work: The GNAT method for nonlinear model reduction: effective implementation and application to computational fluid dynamics and turbulent flows
cites work: Galerkin v. least-squares Petrov-Galerkin projection in nonlinear model reduction
cites work: Data-Driven Filtered Reduced Order Modeling of Fluid Flows
cites work: Data-driven POD-Galerkin reduced order model for turbulent flows
cites work: Explicit reduced‐order models for the stabilized finite element approximation of the incompressible Navier–Stokes equations
cites work: An `empirical interpolation' method: Application to efficient reduced-basis discretization of partial differential equations
cites work: A general multipurpose interpolation procedure: The magic points
cites work: Nonlinear Model Reduction via Discrete Empirical Interpolation
cites work: Efficient model reduction of parametrized systems by matrix discrete empirical interpolation
cites work: Mixed Finite Element Methods and Applications
cites work: Streamline upwind/Petrov-Galerkin formulations for convection dominated flows with particular emphasis on the incompressible Navier-Stokes equations
cites work: Variational multiscale residual-based turbulence modeling for large eddy simulation of incompressible flows
cites work: Semi-implicit BDF time discretization of the Navier-Stokes equations with VMS-LES modeling in a high performance computing framework
cites work: Stabilized Finite Element Formulations for Incompressible Flow Computations
cites work: Numerical comparisons of finite element stabilized methods for a 2D vortex dynamics simulation at high Reynolds number
cites work: 5 Computational bottlenecks for PROMs: precomputation and hyperreduction
cites work: Automated solution of differential equations by the finite element method. The FEniCS book
cites work: Stability of Discrete Empirical Interpolation and Gappy Proper Orthogonal Decomposition with Randomized and Deterministic Sampling Points
DOI: 10.1016/J.COMPFLUID.2022.105604
description: scientific article; zbMATH DE number 7602505