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Pressure data-driven variational multiscale reduced order models

Ivagnes, A.
•
Stabile, G.
•
Mola, A.
altro
Rozza, G.
2023
  • journal article

Periodico
JOURNAL OF COMPUTATIONAL PHYSICS
Abstract
In this paper, we develop data-driven closure/correction terms to increase the pressure and velocity accuracy of reduced order models (ROMs) for fluid flows. Specifically, we propose the first pressure-based data-driven variational multiscale ROM, in which we use the available data to construct closure/correction terms for both the momentum equation and the continuity equation. Our numerical investigation of the two-dimensional flow past a circular cylinder at Re=50000 in the marginally-resolved regime shows that the novel pressure data-driven variational multiscale ROM yields significantly more accurate velocity and pressure approximations than the standard ROM and, more importantly, than the original data-driven variational multiscale ROM (i.e., without pressure components). In particular, our numerical results show that adding the closure/correction term in the momentum equation significantly improves both the velocity and the pressure approximations, whereas adding the closure/correction term in the continuity equation improves only the pressure approximation.
DOI
10.1016/j.jcp.2022.111904
WOS
WOS:000991136100001
Archivio
https://hdl.handle.net/20.500.11767/139930
info:eu-repo/semantics/altIdentifier/scopus/2-s2.0-85146050742
https://arxiv.org/abs/2205.15118
https://ricerca.unityfvg.it/handle/20.500.11767/139930
Diritti
metadata only access
Soggetti
  • Closure model

  • Computational fluid d...

  • Data driven model red...

  • Pressure stabilizatio...

  • Reduced order modelin...

  • Variational multiscal...

  • Settore MAT/08 - Anal...

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