Least-squares pressure recovery in reduced order methods for incompressible flows
From MaRDI portal
Publication:6639316
DOI10.1016/J.JCP.2024.113397MaRDI QIDQ6639316
T. Chacón Rebollo, M. Azaïez, I. Sánchez Muñoz, Mourad Oulghelou
Publication date: 15 November 2024
Published in: Journal of Computational Physics (Search for Journal in Brave)
Basic methods in fluid mechanics (76Mxx) Numerical methods for partial differential equations, boundary value problems (65Nxx) Incompressible viscous fluids (76Dxx)
Cites Work
- Title not available (Why is that?)
- Title not available (Why is that?)
- A numerical investigation of velocity-pressure reduced order models for incompressible flows
- Reduced basis approximation and a posteriori error estimation for Stokes flows in parametrized geometries: roles of the inf-sup stability constants
- On the stability and extension of reduced-order Galerkin models in incompressible flows. A numerical study of vortex shedding
- Finite element approximation of the Navier-Stokes equations
- Data-driven POD-Galerkin reduced order model for turbulent flows
- On the stability of the reduced basis method for Stokes equations in parametrized domains
- Factorization methods for the numerical approximation of Navier-Stokes equations
- POD-Galerkin reduced order methods for CFD using finite volume discretisation: vortex shedding around a circular cylinder
- Fast divergence-conforming reduced basis methods for steady Navier-Stokes flow
- Error analysis of a residual-based stabilization-motivated POD-ROM for incompressible flows
- A Petrov-Galerkin reduced basis approximation of the Stokes equation in parameterized geometries
- An overview of projection methods for incompressible flows
- Pressure data-driven variational multiscale reduced order models
- Supremizer stabilization of POD-Galerkin approximation of parametrized steady incompressible Navier-Stokes equations
- Solving PDEs in Python
- Numerical solution of parametrized Navier–Stokes equations by reduced basis methods
- Space--Time Least-Squares Petrov--Galerkin Projection for Nonlinear Model Reduction
- Certified real‐time solution of the parametrized steady incompressible Navier–Stokes equations: rigorous reduced‐basis a posteriori error bounds
- The need for a pressure-term representation in empirical Galerkin models of incompressible shear flows
- Error Analysis of Supremizer Pressure Recovery for POD based Reduced-Order Models of the Time-Dependent Navier--Stokes Equations
This page was built for publication: Least-squares pressure recovery in reduced order methods for incompressible flows
Report a bug (only for logged in users!)Click here to report a bug for this page (MaRDI item Q6639316)