Gamero, P.; Cantero-Chinchilla, FN.; Bergillos, RJ.; Castro-Orgaz, O.; Dey, S. (2022). Shallow-water lee-side waves at obstacles: Experimental characterization and turbulent non-hydrostatic modeling using weighted-averaged residual equations. Environmental Modelling & Software. 155:1-16. https://doi.org/10.1016/j.envsoft.2022.105422
Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/202049
Título:
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Shallow-water lee-side waves at obstacles: Experimental characterization and turbulent non-hydrostatic modeling using weighted-averaged residual equations
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Autor:
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Gamero, Pedro
Cantero-Chinchilla, Francisco N.
Bergillos, Rafael J.
Castro-Orgaz, Oscar
Dey, Subhasish
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Entidad UPV:
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Universitat Politècnica de València. Instituto Universitario de Ingeniería del Agua y del Medio Ambiente - Institut Universitari d'Enginyeria de l'Aigua i Medi Ambient
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Fecha difusión:
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Resumen:
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[EN]
The flow over uneven topography is a problem of interest in environmental fluid flow modeling, including flows over river bedforms, exchange flows over oceanic sills or the airflow over mountains. The common experimental ...[+]
[EN]
The flow over uneven topography is a problem of interest in environmental fluid flow modeling, including flows over river bedforms, exchange flows over oceanic sills or the airflow over mountains. The common experimental procedure to investigate these flows, moving a small obstacle in a laboratory flume, yields experimental difficulties, whereas modeling using non-linear shallow flow equations does not explain all the flow phenomena. Novel alternative procedures are presented for the experimentation and shallow water representation of flow interaction with obstacles. A large-scale obstacle model is constructed in a dam-break set-up, and used to generate flow phenomena over topography, including dispersive and broken surges, wave reflection, hydraulic jumps and non-hydrostatic sill overflows. Simulations are conducted with a shallow-water weighted-averaged residual flow software for turbulent flows. The proposed software reproduces the experiments satisfactorily, supporting its use in modeling, whereas the new experimental database can be used by modelers to test their software.
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Palabras clave:
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Non-hydrostatic flows
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Laboratory experiments
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Weighted-averaged residual equations
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Lee-side waves
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Obstacles
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Derechos de uso:
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Reconocimiento - No comercial - Sin obra derivada (by-nc-nd)
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Fuente:
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Environmental Modelling & Software. (issn:
1364-8152
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DOI:
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10.1016/j.envsoft.2022.105422
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Editorial:
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Elsevier
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Versión del editor:
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https://doi.org/10.1016/j.envsoft.2022.105422
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Código del Proyecto:
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info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2013-2016/CTM2017-85171-C2-1-R/ES/DESARROLLO DE MODELOS NO HIDROSTATICOS PARA ESTUDIOS HIDROAMBIENTALES/
...[+]
info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2013-2016/CTM2017-85171-C2-1-R/ES/DESARROLLO DE MODELOS NO HIDROSTATICOS PARA ESTUDIOS HIDROAMBIENTALES/
info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/PID2020-114688RB-I00/ES/MODELIZADO DE LA TURBULENCIA PARA FLUJOS NO-HIDROSTATICOS EN HIDRAULICA AMBIENTAL /
info:eu-repo/grantAgreement/AGENCIA ESTATAL DE INVESTIGACION//IJC2019-038848-I//AYUDA JUAN DE LA CIERVA INCORPORACION-BERGILLOS MECA, RAFAEL JESUS/
info:eu-repo/grantAgreement/Junta de Andalucía//DOC_00996//Selection of Doctoral Researchers/
info:eu-repo/grantAgreement/AEI//CEX2019-000968-M//Ayudas concedidas para Centros de excelencia "Severo Ochoa" y Unidades de excelencia "María de Maeztu", Convocatoria 2019 /
info:eu-repo/grantAgreement/AEI//IJC2020-042646-I//Ayudas Juan de la Cierva-incorporación, Convocatoria 2020/
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Agradecimientos:
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The work of O. Castro-Orgaz, project leader, was supported by the Spanish projects CTM2017-85171-C2-1-R and PID2020-114688RB-I00, and grant Maria de Maeztu for Centers and Units of Excellence in R & D (Ref. CEX2019-000968-M) ...[+]
The work of O. Castro-Orgaz, project leader, was supported by the Spanish projects CTM2017-85171-C2-1-R and PID2020-114688RB-I00, and grant Maria de Maeztu for Centers and Units of Excellence in R & D (Ref. CEX2019-000968-M) . FNCC was partly funded by MCIN/AEI/10.13039/501100011033 and the NextGeneration EU/PRTR through Juan de la Cierva program (IJC2020-042646-I) and a "Selection of Doctoral Researchers" grant by the Junta -de -Andalucia government, Spain (Ref. DOC_00996) . RJB was partly funded by MCIN/AEI/10.13039/501100011033 through Juan de la Cierva program (IJC2019- 038848-I) . We thank the two anonymous reviewers of this work for the comments offered to improve it.
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Tipo:
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Artículo
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