A POD-Galerkin reduced order model for the Navier–Stokes equations in stream function-vorticity formulation

We develop a Proper Orthogonal Decomposition (POD)-Galerkin based Reduced Order Model (ROM) for the efficient numerical simulation of the parametric Navier–Stokes equations in the stream function-vorticity formulation. Unlike previous works, we choose different reduced coefficients for the vorticity...

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Published in:Computers & Fluids
Main Authors: Girfoglio M., Quaini A., Rozza G.
Other Authors: Girfoglio, M., Quaini, A., Rozza, G.
Format: Article in Journal/Newspaper
Language:English
Published: 2022
Subjects:
Online Access:https://hdl.handle.net/20.500.11767/129110
https://doi.org/10.1016/j.compfluid.2022.105536
https://arxiv.org/abs/2201.00756
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spelling ftsissa:oai:iris.sissa.it:20.500.11767/129110 2023-05-15T17:32:21+02:00 A POD-Galerkin reduced order model for the Navier–Stokes equations in stream function-vorticity formulation Girfoglio M. Quaini A. Rozza G. Girfoglio, M. Quaini, A. Rozza, G. 2022 https://hdl.handle.net/20.500.11767/129110 https://doi.org/10.1016/j.compfluid.2022.105536 https://arxiv.org/abs/2201.00756 eng eng info:eu-repo/semantics/altIdentifier/wos/WOS:000827528000007 volume:244 journal:COMPUTERS & FLUIDS info:eu-repo/grantAgreement/EC/H2020/681447 http://hdl.handle.net/20.500.11767/129110 doi:10.1016/j.compfluid.2022.105536 info:eu-repo/semantics/altIdentifier/scopus/2-s2.0-85132876905 https://arxiv.org/abs/2201.00756 Galerkin projection Navier–stokes equation Proper orthogonal decomposition Reduced order model Stream function-vorticity formulation Settore MAT/08 - Analisi Numerica info:eu-repo/semantics/article 2022 ftsissa https://doi.org/20.500.11767/12911010.1016/j.compfluid.2022.105536 2023-03-21T23:26:37Z We develop a Proper Orthogonal Decomposition (POD)-Galerkin based Reduced Order Model (ROM) for the efficient numerical simulation of the parametric Navier–Stokes equations in the stream function-vorticity formulation. Unlike previous works, we choose different reduced coefficients for the vorticity and stream function fields. In addition, for parametric studies we use a global POD basis space obtained from a database of time dependent full order snapshots related to sample points in the parameter space. We test the performance of our ROM strategy with the well-known vortex merger benchmark and a more complex case study featuring the geometry of the North Atlantic Ocean. Accuracy and efficiency are assessed for both time reconstruction and physical parameterization. Article in Journal/Newspaper North Atlantic International School for Advanced Studies (SISSA), Trieste: SISSA Digital Library (SDL) Computers & Fluids 244 105536
institution Open Polar
collection International School for Advanced Studies (SISSA), Trieste: SISSA Digital Library (SDL)
op_collection_id ftsissa
language English
topic Galerkin projection
Navier–stokes equation
Proper orthogonal decomposition
Reduced order model
Stream function-vorticity formulation
Settore MAT/08 - Analisi Numerica
spellingShingle Galerkin projection
Navier–stokes equation
Proper orthogonal decomposition
Reduced order model
Stream function-vorticity formulation
Settore MAT/08 - Analisi Numerica
Girfoglio M.
Quaini A.
Rozza G.
A POD-Galerkin reduced order model for the Navier–Stokes equations in stream function-vorticity formulation
topic_facet Galerkin projection
Navier–stokes equation
Proper orthogonal decomposition
Reduced order model
Stream function-vorticity formulation
Settore MAT/08 - Analisi Numerica
description We develop a Proper Orthogonal Decomposition (POD)-Galerkin based Reduced Order Model (ROM) for the efficient numerical simulation of the parametric Navier–Stokes equations in the stream function-vorticity formulation. Unlike previous works, we choose different reduced coefficients for the vorticity and stream function fields. In addition, for parametric studies we use a global POD basis space obtained from a database of time dependent full order snapshots related to sample points in the parameter space. We test the performance of our ROM strategy with the well-known vortex merger benchmark and a more complex case study featuring the geometry of the North Atlantic Ocean. Accuracy and efficiency are assessed for both time reconstruction and physical parameterization.
author2 Girfoglio, M.
Quaini, A.
Rozza, G.
format Article in Journal/Newspaper
author Girfoglio M.
Quaini A.
Rozza G.
author_facet Girfoglio M.
Quaini A.
Rozza G.
author_sort Girfoglio M.
title A POD-Galerkin reduced order model for the Navier–Stokes equations in stream function-vorticity formulation
title_short A POD-Galerkin reduced order model for the Navier–Stokes equations in stream function-vorticity formulation
title_full A POD-Galerkin reduced order model for the Navier–Stokes equations in stream function-vorticity formulation
title_fullStr A POD-Galerkin reduced order model for the Navier–Stokes equations in stream function-vorticity formulation
title_full_unstemmed A POD-Galerkin reduced order model for the Navier–Stokes equations in stream function-vorticity formulation
title_sort pod-galerkin reduced order model for the navier–stokes equations in stream function-vorticity formulation
publishDate 2022
url https://hdl.handle.net/20.500.11767/129110
https://doi.org/10.1016/j.compfluid.2022.105536
https://arxiv.org/abs/2201.00756
genre North Atlantic
genre_facet North Atlantic
op_relation info:eu-repo/semantics/altIdentifier/wos/WOS:000827528000007
volume:244
journal:COMPUTERS & FLUIDS
info:eu-repo/grantAgreement/EC/H2020/681447
http://hdl.handle.net/20.500.11767/129110
doi:10.1016/j.compfluid.2022.105536
info:eu-repo/semantics/altIdentifier/scopus/2-s2.0-85132876905
https://arxiv.org/abs/2201.00756
op_doi https://doi.org/20.500.11767/12911010.1016/j.compfluid.2022.105536
container_title Computers & Fluids
container_volume 244
container_start_page 105536
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