Molines, J.; Herrera, MP.; Gómez-Martín, ME.; Medina, JR. (2019). Distribution of individual wave overtopping volumes on mound breakwaters. Coastal Engineering. 149:15-27. https://doi.org/10.1016/j.coastaleng.2019.03.006
Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/155117
Título:
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Distribution of individual wave overtopping volumes on mound breakwaters
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Autor:
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Molines, Jorge
Herrera, Maria P.
GÓMEZ-MARTÍN, M. ESTHER
Medina, Josep R.
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Entidad UPV:
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Universitat Politècnica de València. Departamento de Ingeniería e Infraestructura de los Transportes - Departament d'Enginyeria i Infraestructura dels Transports
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Fecha difusión:
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Resumen:
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[EN] Conventional mound breakwaters are usually designed to withstand low mean wave overtopping discharges and a low proportion of overtopping waves (P-ow). Existing formulas to estimate P-ow, and maximum individual wave ...[+]
[EN] Conventional mound breakwaters are usually designed to withstand low mean wave overtopping discharges and a low proportion of overtopping waves (P-ow). Existing formulas to estimate P-ow, and maximum individual wave overtopping volume are usually based on tests with high P-ow; this study is focused on mound breakwaters subjected to P-ow, < 0.2. The performance of the 2-parameter Weibull and Exponential distributions is examined in order to describe individual wave overtopping volumes of mound breakwaters in non-breaking wave conditions. A new methodology is applied to 164 small-scale 2D physical tests to identify the number of overtopping waves, and the corresponding individual wave overtopping volumes. Utility functions are used to consider the relative relevance of the observed data: in this study, a quadratic utility function depending on all the individual wave overtopping volumes and step utility functions with 10%, 30% and 50% of the highest volumes are used to fit the Weibull and Exponential distributions. In this study, a new estimator of P-ow is proposed to improve the predictions required to estimate the maximum individual wave overtopping volume. Existing estimators of P-ow, underpredict the largest values of P-ow, measured in the physical tests. The parameters fitted to the Weibull and Exponential distributions using the quadratic utility function provide estimations of the dimensionless maximum individual wave overtopping volume with relative mean squared errors rMSE = 10.4% and 10.6%, respectively. When CLASH Neural Network-estimated mean overtopping rates are used to predict the maximum individual wave overtopping with the quadratic utility function, the 2-parameter Weibull and Exponential distributions provide rMSE = 31.6% and rMSE = 33.3%, respectively. The new estimators proposed in this study improve the predictions of P-ow and maximum individual wave overtopping volumes on conventional mound breakwaters designed for low wave overtopping rates.
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Palabras clave:
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Individual wave overtopping volumes
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Wave overtopping
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Mound breakwater
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Weibull distribution
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Utility function
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Number of overtopping waves
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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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Coastal Engineering. (issn:
0378-3839
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DOI:
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10.1016/j.coastaleng.2019.03.006
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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.coastaleng.2019.03.006
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Código del Proyecto:
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info:eu-repo/grantAgreement/UPV//PAID-06-18/
info:eu-repo/grantAgreement/MINECO//BIA2012-33967/ES/ESTABILIDAD HIDRAULICA DE LOS MANTOS DE ESCOLLERA, CUBOS Y CUBIPODOS FRENTE A OLEAJE LIMITADO POR EL FONDO/
info:eu-repo/grantAgreement/MINECO//BIA2015-70436-R/ES/ESTABILIDAD HIDRAULICA DEL MANTO, BERMAS Y CORONACION DE DIQUES EN TALUD CON REBASE Y ROTURA POR FONDO/
info:eu-repo/grantAgreement/UPV//SP20180111/
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Agradecimientos:
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The authors are grateful for financial support from European FEDER and Spanish Ministerio de Economia y Competitividad (Grants BIA2012-33967 and BIA2015-70435-R), SATO (OHL Group), Universitat Politecnica de Valencia (Grant ...[+]
The authors are grateful for financial support from European FEDER and Spanish Ministerio de Economia y Competitividad (Grants BIA2012-33967 and BIA2015-70435-R), SATO (OHL Group), Universitat Politecnica de Valencia (Grant SP20180111, Primeros Proyectos de Investigacion (PAID-06-18), Vicerrectorado de Investigacion, Innovacion y Transferencia de la Universitat Politecnica de Valencia) and CDTI (Centro para el Desarrollo Tecnologico e Industrial). The authors also thank Debra Westall for revising the manuscript.
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Tipo:
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Artículo
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