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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author Girfoglio M.
Quaini A.
Rozza G.
author2 Girfoglio, M.
Quaini, A.
Rozza, G.
author_facet Girfoglio M.
Quaini A.
Rozza G.
author_sort Girfoglio M.
collection International School for Advanced Studies (SISSA), Trieste: SISSA Digital Library (SDL)
container_start_page 105536
container_title Computers & Fluids
container_volume 244
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.
format Article in Journal/Newspaper
genre North Atlantic
genre_facet North Atlantic
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institution Open Polar
language English
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op_doi https://doi.org/20.500.11767/12911010.1016/j.compfluid.2022.105536
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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
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spelling ftsissa:oai:iris.sissa.it:20.500.11767/129110 2025-01-16T23:38:59+00:00 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 2023-06-20T22:26:39Z 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
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
title 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_short 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
topic Galerkin projection
Navier–stokes equation
Proper orthogonal decomposition
Reduced order model
Stream function-vorticity formulation
Settore MAT/08 - Analisi Numerica
topic_facet Galerkin projection
Navier–stokes equation
Proper orthogonal decomposition
Reduced order model
Stream function-vorticity formulation
Settore MAT/08 - Analisi Numerica
url https://hdl.handle.net/20.500.11767/129110
https://doi.org/10.1016/j.compfluid.2022.105536
https://arxiv.org/abs/2201.00756