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Reduced order models for the incompressible Navier‐Stokes equations on collocated grids using a ‘discretize‐then‐project’ approach

Star, Sabrina Kelbij
•
Sanderse, Benjamin
•
Stabile, Giovanni
altro
Degroote, Joris
2021
  • journal article

Periodico
INTERNATIONAL JOURNAL FOR NUMERICAL METHODS IN FLUIDS
Abstract
A novel reduced order model (ROM) for incompressible flows is developed by performing a Galerkin projection based on a fully (space and time) discrete full order model (FOM) formulation. This ‘discretize-then-project’ approach requires no pressure stabilization technique (even though the pressure term is present in the ROM) nor a boundary control technique (to impose the boundary conditions at the ROM level). These are two main advantages compared to existing approaches. The fully discrete FOM is obtained by a finite volume discretization of the incompressible Navier-Stokes equations on a collocated grid, with a forward Euler time discretization. Two variants of the time discretization method, the inconsistent and consistent flux method, have been investigated. The latter leads to divergence-free velocity fields, also on the ROM level, whereas the velocity fields are only approximately divergence-free in the former method. For both methods, accurate results have been obtained for test cases with different types of boundary conditions: a lid-driven cavity and an open-cavity (with an inlet and outlet). The ROM obtained with the consistent flux method, having divergence-free velocity fields, is slightly more accurate but also slightly more expensive to solve compared to the inconsistent flux method. The speedup ratio of the ROM and FOM computation times is the highest for the open cavity test case with the inconsistent flux method.
DOI
10.1002/fld.4994
WOS
WOS:000656164700001
Archivio
http://hdl.handle.net/20.500.11767/123371
info:eu-repo/semantics/altIdentifier/scopus/2-s2.0-85106975956
https://arxiv.org/abs/2010.06964
Diritti
metadata only access
Soggetti
  • finite volume

  • incompressible flow

  • partial differential ...

  • POD: Proper Orthogona...

  • reduced order modelin...

  • time integration

  • Settore ING-IND/06 - ...

Scopus© citazioni
2
Data di acquisizione
Jun 14, 2022
Vedi dettagli
Web of Science© citazioni
3
Data di acquisizione
Mar 19, 2024
Visualizzazioni
1
Data di acquisizione
Apr 19, 2024
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