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...
| Autores: | , , , , , , , , |
|---|---|
| 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 |
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article |
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publishedVersion |
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http://hdl.handle.net/10261/371761 https://api.elsevier.com/content/abstract/scopus_id/85206651523 |
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http://hdl.handle.net/10261/371761 https://api.elsevier.com/content/abstract/scopus_id/85206651523 |
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Inglés |
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Inglés |
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info:eu-repo/semantics/openAccess |
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openAccess |
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application/pdf |
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Taylor & Francis |
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Taylor & Francis |
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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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15,811543 |