Benchmark of computational hydraulics models for open-channel flow with lateral cavities

Computational models in hydro-environmental engineering are diverse in their background formulation and span from two-dimensional depth-averaged shallow water models, to complex fully three-dimensional turbulence models resolving large-eddy simulation with surface capturing techniques, and to Lagran...

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Autores: Ouro, Pablo, Cea, Luis, Croquer, Sergio, Dong, Wenhao, García-Feal, Orlando, Navas-Montilla, Adrián, Rogers, Benedict D., Uchida, Tatsuhiko, Juez, Carmelo
Tipo de recurso: artículo
Estado:Versión publicada
Fecha de publicación:2024
País:España
Institución:Consejo Superior de Investigaciones Científicas (CSIC)
Repositorio:DIGITAL.CSIC. Repositorio Institucional del CSIC
OAI Identifier:oai:digital.csic.es:10261/371761
Acceso en línea:http://hdl.handle.net/10261/371761
https://api.elsevier.com/content/abstract/scopus_id/85206651523
Access Level:acceso abierto
Palabra clave:Shallow water model
Benchmark
Computational hydraulics
Large-eddy simulation
Lateral cavities
Reynolds-averaged Navier–Stokes
SPH
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dc.title.none.fl_str_mv Benchmark of computational hydraulics models for open-channel flow with lateral cavities
title Benchmark of computational hydraulics models for open-channel flow with lateral cavities
spellingShingle Benchmark of computational hydraulics models for open-channel flow with lateral cavities
Ouro, Pablo
Shallow water model
Benchmark
Computational hydraulics
Large-eddy simulation
Lateral cavities
Reynolds-averaged Navier–Stokes
SPH
title_short Benchmark of computational hydraulics models for open-channel flow with lateral cavities
title_full Benchmark of computational hydraulics models for open-channel flow with lateral cavities
title_fullStr Benchmark of computational hydraulics models for open-channel flow with lateral cavities
title_full_unstemmed Benchmark of computational hydraulics models for open-channel flow with lateral cavities
title_sort Benchmark of computational hydraulics models for open-channel flow with lateral cavities
dc.creator.none.fl_str_mv Ouro, Pablo
Cea, Luis
Croquer, Sergio
Dong, Wenhao
García-Feal, Orlando
Navas-Montilla, Adrián
Rogers, Benedict D.
Uchida, Tatsuhiko
Juez, Carmelo
author Ouro, Pablo
author_facet Ouro, Pablo
Cea, Luis
Croquer, Sergio
Dong, Wenhao
García-Feal, Orlando
Navas-Montilla, Adrián
Rogers, Benedict D.
Uchida, Tatsuhiko
Juez, Carmelo
author_role author
author2 Cea, Luis
Croquer, Sergio
Dong, Wenhao
García-Feal, Orlando
Navas-Montilla, Adrián
Rogers, Benedict D.
Uchida, Tatsuhiko
Juez, Carmelo
author2_role author
author
author
author
author
author
author
author
dc.contributor.none.fl_str_mv European Commission
University of Manchester
Gobierno de Aragón
Estonian Research Council
Ministerio de Ciencia e Innovación (España)
Agencia Estatal de Investigación (España)
Universidad de Vigo
Innovation, Science and Economic Development Canada
Digital Research Alliance of Canada
University of Toronto
Ontario Research Fund
Ouro, Pablo [0000-0001-6411-8241]
Cea, Luis[0000-0002-3920-0478]
Croquer, Sergio [0000-0001-6870-3050]
García-Feal, Orlando [0000-0001-6237-660X]
Navas-Montilla, Adrián [0000-0002-3465-6898]
Rogers, Benedict D. [0000-0002-3269-7979]
Uchida, Tatsuhiko [0000-0003-3130-1175]
Juez, Carmelo [0000-0002-2985-1023]
Consejo Superior de Investigaciones Científicas [https://ror.org/02gfc7t72]
dc.subject.none.fl_str_mv Shallow water model
Benchmark
Computational hydraulics
Large-eddy simulation
Lateral cavities
Reynolds-averaged Navier–Stokes
SPH
topic Shallow water model
Benchmark
Computational hydraulics
Large-eddy simulation
Lateral cavities
Reynolds-averaged Navier–Stokes
SPH
description Computational models in hydro-environmental engineering are diverse in their background formulation and span from two-dimensional depth-averaged shallow water models, to complex fully three-dimensional turbulence models resolving large-eddy simulation with surface capturing techniques, and to Lagrangian particle-based methods. This paper presents a first-of-its-kind comparison of six different computational hydraulics fluid dynamics models, namely Iber+, HO-SWM, GBVC, OpenFOAM (RANS), Hydro3D (LES) and DualSPHysics (SPH), in the prediction of mean velocities and free-surface dynamics in two benchmarks involving open-channel flows with symmetric lateral cavities. Results show that shallow-water models capture relatively well the main large-scale coherent structures of the in-cavity flow, with wider shear layers compared to three-dimensional models, and higher velocities in the main channel. Three-dimensional RANS, LES and SPH yield improved predictions of mean velocities compared with experimental data. Computational cost has been quantified for all models with a logarithmic growth when increasing model complexity. The transverse standing wave is captured by most models, with the shallow-water ones matching the theoretical value, while the three-dimensional models overestimate it slightly.
publishDate 2024
dc.date.none.fl_str_mv 2024
2024
2024
dc.type.none.fl_str_mv info:eu-repo/semantics/article
http://purl.org/coar/resource_type/c_6501
Publisher's version
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/10261/371761
https://api.elsevier.com/content/abstract/scopus_id/85206651523
url http://hdl.handle.net/10261/371761
https://api.elsevier.com/content/abstract/scopus_id/85206651523
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
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info:eu-repo/grantAgreement/EC/HE/101039181
info:eu-repo/grantAgreement/AEI//JDC2022-048667-I
https://doi.org/10.1080/00221686.2024.2401905

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eu_rights_str_mv openAccess
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dc.publisher.none.fl_str_mv Taylor & Francis
publisher.none.fl_str_mv Taylor & Francis
dc.source.none.fl_str_mv reponame:DIGITAL.CSIC. Repositorio Institucional del CSIC
instname:Consejo Superior de Investigaciones Científicas (CSIC)
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spelling Benchmark of computational hydraulics models for open-channel flow with lateral cavitiesOuro, PabloCea, LuisCroquer, SergioDong, WenhaoGarcía-Feal, OrlandoNavas-Montilla, AdriánRogers, Benedict D.Uchida, TatsuhikoJuez, CarmeloShallow water modelBenchmarkComputational hydraulicsLarge-eddy simulationLateral cavitiesReynolds-averaged Navier–StokesSPHComputational models in hydro-environmental engineering are diverse in their background formulation and span from two-dimensional depth-averaged shallow water models, to complex fully three-dimensional turbulence models resolving large-eddy simulation with surface capturing techniques, and to Lagrangian particle-based methods. This paper presents a first-of-its-kind comparison of six different computational hydraulics fluid dynamics models, namely Iber+, HO-SWM, GBVC, OpenFOAM (RANS), Hydro3D (LES) and DualSPHysics (SPH), in the prediction of mean velocities and free-surface dynamics in two benchmarks involving open-channel flows with symmetric lateral cavities. Results show that shallow-water models capture relatively well the main large-scale coherent structures of the in-cavity flow, with wider shear layers compared to three-dimensional models, and higher velocities in the main channel. Three-dimensional RANS, LES and SPH yield improved predictions of mean velocities compared with experimental data. Computational cost has been quantified for all models with a logarithmic growth when increasing model complexity. The transverse standing wave is captured by most models, with the shallow-water ones matching the theoretical value, while the three-dimensional models overestimate it slightly.Dr Ouro gratefully acknowledges the help of the Supercomputing Wales project, which is partially sponsored by the European Regional Development Fund (ERDF) via the Welsh Government. Some of the presented material has been supported by the Dame Kathleen Ollerenshaw Fellowship that Dr Ouro holds at the University of Manchester. Dr Navas-Montilla acknowledges the support of the Regional Government of Aragón (Computational Fluid Mechanics Group, T32_20R). Dr Juez was funded by the ERC-StG 2021 programme of the European union under grant agreement number 101039181-SEDAHEAD and by the Regional Government of Aragón (Geoenvironmental Processes and Global Change group, E02_23R). Dr García-Feal was supported by the postdoctoral fellowship ‘Juan de la Cierva’ (ref. JDC2022-048667-I), funded by MCIN/AEI/10.13039/50 1100011033 and the European Union ‘NextGenerationEU’/PRTR; by the Spanish Ministerio de Universidades under application 33.50.460A.752, by the European Union NextGenerationEU/PRTR through a contract Margarita Salas from the University of Vigo. Dr Croquer acknowledges Prof. Sébastien Poncet as well as the support of the SciNet HPC Consortium. SciNet is funded by Innovation, Science and Economic Development Canada, the Digital Research Alliance of Canada, the Ontario Research Fund: Research Excellence, and the University of Toronto.Peer reviewedTaylor & FrancisEuropean CommissionUniversity of ManchesterGobierno de AragónEstonian Research CouncilMinisterio de Ciencia e Innovación (España)Agencia Estatal de Investigación (España)Universidad de VigoInnovation, Science and Economic Development CanadaDigital Research Alliance of CanadaUniversity of TorontoOntario Research FundOuro, Pablo [0000-0001-6411-8241]Cea, Luis[0000-0002-3920-0478]Croquer, Sergio [0000-0001-6870-3050]García-Feal, Orlando [0000-0001-6237-660X]Navas-Montilla, Adrián [0000-0002-3465-6898]Rogers, Benedict D. [0000-0002-3269-7979]Uchida, Tatsuhiko [0000-0003-3130-1175]Juez, Carmelo [0000-0002-2985-1023]Consejo Superior de Investigaciones Científicas [https://ror.org/02gfc7t72]202420242024info:eu-repo/semantics/articlehttp://purl.org/coar/resource_type/c_6501Publisher's versioninfo:eu-repo/semantics/publishedVersionapplication/pdfhttp://hdl.handle.net/10261/371761https://api.elsevier.com/content/abstract/scopus_id/85206651523reponame:DIGITAL.CSIC. Repositorio Institucional del CSICinstname:Consejo Superior de Investigaciones Científicas (CSIC)Inglés#PLACEHOLDER_PARENT_METADATA_VALUE##PLACEHOLDER_PARENT_METADATA_VALUE#info:eu-repo/grantAgreement/EC/HE/101039181info:eu-repo/grantAgreement/AEI//JDC2022-048667-Ihttps://doi.org/10.1080/00221686.2024.2401905Síinfo:eu-repo/semantics/openAccessoai:digital.csic.es:10261/3717612026-05-22T06:33:51Z
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