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...
Published in: | Computers & Fluids |
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Main Authors: | , , |
Other Authors: | , , |
Format: | Article in Journal/Newspaper |
Language: | English |
Published: |
2022
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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 |
id | ftsissa:oai:iris.sissa.it:20.500.11767/129110 |
institution | Open Polar |
language | English |
op_collection_id | ftsissa |
op_doi | https://doi.org/20.500.11767/12911010.1016/j.compfluid.2022.105536 |
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 |
publishDate | 2022 |
record_format | openpolar |
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 |