The Effort of Increasing Reynolds Number in Projection-Based Reduced Order Methods: From Laminar to Turbulent Flows

Francesco Ballarin, Saddam Hijazi, Shafqat Ali, Giovanni Stabile, Gianluigi Rozza

Risultato della ricerca: Contributo in libroContributo a convegno

11 Citazioni (Scopus)

Abstract

We present in this double contribution two different reduced order strategies for incompressible parameterized Navier-Stokes equations characterized by varying Reynolds numbers. The first strategy deals with low Reynolds number (laminar flow) and is based on a stabilized finite element method during the offline stage followed by a Galerkin projection on reduced basis spaces generated by a greedy algorithm. The second methodology is based on a full order finite volume discretization. The latter methodology will be used for flows with moderate to high Reynolds number characterized by turbulent patterns. For the treatment of the mentioned turbulent flows at the reduced order level, a new POD-Galerkin approach is proposed. The new approach takes into consideration the contribution of the eddy viscosity also during the online stage and is based on the use of interpolation. The two methodologies are tested on classic benchmark test cases.
Lingua originaleEnglish
Titolo della pubblicazione ospiteNumerical Methods for Flows: FEF 2017 Selected Contributions
Pagine245-264
Numero di pagine20
Volume132
DOI
Stato di pubblicazionePubblicato - 2020
Evento19th International Conference on Finite Elements in Flow Problems, FEF 2017 - Roma
Durata: 5 apr 20177 apr 2017

Serie di pubblicazioni

NomeLECTURE NOTES IN COMPUTATIONAL SCIENCE AND ENGINEERING

Convegno

Convegno19th International Conference on Finite Elements in Flow Problems, FEF 2017
CittàRoma
Periodo5/4/177/4/17

Keywords

  • Data driven model reduction
  • Projection based model reduction
  • Viscous flows
  • SUPG
  • Turbulence modelling
  • Stabilised RB methods

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