Towards a robust parallel solver for large-scale industrial flow simulations

In this work a CFD analysis is done on incompressible viscous flows using Finite Volume schemes implemented in the open-source software OpenFOAM. The objective of this study is twofold: to gain experience with the software and to define a set of best practices when running large-scale cases in OpenF...

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Detalles Bibliográficos
Autor: Rosta, Mátyás
Tipo de recurso: tesis de maestría
Fecha de publicación:2022
País:España
Institución:Universitat Politècnica de Catalunya (UPC)
Repositorio:UPCommons. Portal del coneixement obert de la UPC
Idioma:inglés
OAI Identifier:oai:upcommons.upc.edu:2117/376517
Acceso en línea:https://hdl.handle.net/2117/376517
Access Level:acceso abierto
Palabra clave:High performance computing
High-performance computing
OpenFOAM
Finite Volume scheme
large-scale industrial flows
Càlcul intensiu (Informàtica)
Àrees temàtiques de la UPC::Informàtica
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spelling Towards a robust parallel solver for large-scale industrial flow simulationsRosta, MátyásHigh performance computingHigh-performance computingOpenFOAMFinite Volume schemelarge-scale industrial flowsCàlcul intensiu (Informàtica)Àrees temàtiques de la UPC::InformàticaIn this work a CFD analysis is done on incompressible viscous flows using Finite Volume schemes implemented in the open-source software OpenFOAM. The objective of this study is twofold: to gain experience with the software and to define a set of best practices when running large-scale cases in OpenFOAM using parallel architectures. The first objective is obtained by testing three academic benchmarks, namely the lid- driven cavity, the flow over a backward facing step, and flow past a circular cylinder. The validation of these results is made by contrasting them to the data available in the literature. The second objective was fulfilled by studying two large-scale industrial problems, laminar flow inside an S-bend and turbulent external flow around a car. For the latter, the DriveAer geometry has been used. The analysis of these high- performance computing studies has been defined in terms of the relative efficiency and speed up for the two problems. The studied cases have been scaled up until 84 CPUs for the S-bend, and until 224 CPUs for the vehicle geometry. Furthermore, the performance of three partitioners, namely the simple, hierarchical, and scotch decomposers have been evaluated.Universitat Politècnica de CatalunyaGiacomini, Matteo20222022-07-1520222022-11-17master thesishttp://purl.org/coar/resource_type/c_bdccNAhttp://purl.org/coar/version/c_be7fb7dd8ff6fe43info:eu-repo/semantics/masterThesisapplication/pdfhttps://hdl.handle.net/2117/376517reponame:UPCommons. Portal del coneixement obert de la UPCinstname:Universitat Politècnica de Catalunya (UPC)Inglésengopen accesshttp://purl.org/coar/access_right/c_abf2Attribution-NonCommercial-ShareAlike 4.0 Internationalhttp://creativecommons.org/licenses/by-nc-sa/4.0/info:eu-repo/semantics/openAccessoai:upcommons.upc.edu:2117/3765172026-05-27T15:37:01Z
dc.title.none.fl_str_mv Towards a robust parallel solver for large-scale industrial flow simulations
title Towards a robust parallel solver for large-scale industrial flow simulations
spellingShingle Towards a robust parallel solver for large-scale industrial flow simulations
Rosta, Mátyás
High performance computing
High-performance computing
OpenFOAM
Finite Volume scheme
large-scale industrial flows
Càlcul intensiu (Informàtica)
Àrees temàtiques de la UPC::Informàtica
title_short Towards a robust parallel solver for large-scale industrial flow simulations
title_full Towards a robust parallel solver for large-scale industrial flow simulations
title_fullStr Towards a robust parallel solver for large-scale industrial flow simulations
title_full_unstemmed Towards a robust parallel solver for large-scale industrial flow simulations
title_sort Towards a robust parallel solver for large-scale industrial flow simulations
dc.creator.none.fl_str_mv Rosta, Mátyás
author Rosta, Mátyás
author_facet Rosta, Mátyás
author_role author
dc.contributor.none.fl_str_mv Giacomini, Matteo
dc.subject.none.fl_str_mv High performance computing
High-performance computing
OpenFOAM
Finite Volume scheme
large-scale industrial flows
Càlcul intensiu (Informàtica)
Àrees temàtiques de la UPC::Informàtica
topic High performance computing
High-performance computing
OpenFOAM
Finite Volume scheme
large-scale industrial flows
Càlcul intensiu (Informàtica)
Àrees temàtiques de la UPC::Informàtica
description In this work a CFD analysis is done on incompressible viscous flows using Finite Volume schemes implemented in the open-source software OpenFOAM. The objective of this study is twofold: to gain experience with the software and to define a set of best practices when running large-scale cases in OpenFOAM using parallel architectures. The first objective is obtained by testing three academic benchmarks, namely the lid- driven cavity, the flow over a backward facing step, and flow past a circular cylinder. The validation of these results is made by contrasting them to the data available in the literature. The second objective was fulfilled by studying two large-scale industrial problems, laminar flow inside an S-bend and turbulent external flow around a car. For the latter, the DriveAer geometry has been used. The analysis of these high- performance computing studies has been defined in terms of the relative efficiency and speed up for the two problems. The studied cases have been scaled up until 84 CPUs for the S-bend, and until 224 CPUs for the vehicle geometry. Furthermore, the performance of three partitioners, namely the simple, hierarchical, and scotch decomposers have been evaluated.
publishDate 2022
dc.date.none.fl_str_mv 2022
2022-07-15
2022
2022-11-17
dc.type.none.fl_str_mv master thesis
http://purl.org/coar/resource_type/c_bdcc
NA
http://purl.org/coar/version/c_be7fb7dd8ff6fe43
dc.type.openaire.fl_str_mv info:eu-repo/semantics/masterThesis
format masterThesis
dc.identifier.none.fl_str_mv https://hdl.handle.net/2117/376517
url https://hdl.handle.net/2117/376517
dc.language.none.fl_str_mv Inglés
eng
language_invalid_str_mv Inglés
language eng
dc.rights.none.fl_str_mv open access
http://purl.org/coar/access_right/c_abf2
Attribution-NonCommercial-ShareAlike 4.0 International
http://creativecommons.org/licenses/by-nc-sa/4.0/
dc.rights.openaire.fl_str_mv info:eu-repo/semantics/openAccess
rights_invalid_str_mv open access
http://purl.org/coar/access_right/c_abf2
Attribution-NonCommercial-ShareAlike 4.0 International
http://creativecommons.org/licenses/by-nc-sa/4.0/
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Universitat Politècnica de Catalunya
publisher.none.fl_str_mv Universitat Politècnica de Catalunya
dc.source.none.fl_str_mv reponame:UPCommons. Portal del coneixement obert de la UPC
instname:Universitat Politècnica de Catalunya (UPC)
instname_str Universitat Politècnica de Catalunya (UPC)
reponame_str UPCommons. Portal del coneixement obert de la UPC
collection UPCommons. Portal del coneixement obert de la UPC
repository.name.fl_str_mv
repository.mail.fl_str_mv
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score 15.300719

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