Predictive model of bulk drag coefficient for a nature-based structure exposed to currents

Abstract Mangrove vegetation provides natural protection against coastal hazards like flooding and erosion. In spite of their economic and societal value, mangrove forests have experienced a worldwide decline due to human activities. Bamboo structures, formed by poles driven into the soil, are being...

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Autores principales:	Alejandra Gijón Mancheño, Wiljan Jansen, Johan C. Winterwerp, Wim S. J. Uijttewaal
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2021
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/badf7ba055414147b89b444ada997821
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spelling	oai:doaj.org-article:badf7ba055414147b89b444ada9978212021-12-02T13:30:18ZPredictive model of bulk drag coefficient for a nature-based structure exposed to currents10.1038/s41598-021-83035-02045-2322https://doaj.org/article/badf7ba055414147b89b444ada9978212021-02-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-83035-0https://doaj.org/toc/2045-2322Abstract Mangrove vegetation provides natural protection against coastal hazards like flooding and erosion. In spite of their economic and societal value, mangrove forests have experienced a worldwide decline due to human activities. Bamboo structures, formed by poles driven into the soil, are being used to create a sheltered environment for mangrove restoration. The lack of design rules for the structures has led to mixed success rates in their implementation. Improving future designs requires a better understanding of how the bamboo poles affect waves and currents. Currents cause drag forces on the poles, which depend on flow acceleration through the elements (blockage), and the distance from wakes of upstream cylinders (sheltering). We developed a model that predicts the bulk drag coefficient of dense arrays of emergent cylinders in a current, including blockage, sheltering and a balance between turbulence production and dissipation. The model could reproduce measured bulk drag coefficients from the literature within a deviation of 20%. The model also showed that anisotropic structures with small spanwise spacing and large streamwise separation maximize the bulk drag coefficient, and the energy dissipation per pole. The application of the model can guide the design of future mangrove restoration efforts.Alejandra Gijón MancheñoWiljan JansenJohan C. WinterwerpWim S. J. UijttewaalNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-13 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Alejandra Gijón Mancheño Wiljan Jansen Johan C. Winterwerp Wim S. J. Uijttewaal Predictive model of bulk drag coefficient for a nature-based structure exposed to currents
description	Abstract Mangrove vegetation provides natural protection against coastal hazards like flooding and erosion. In spite of their economic and societal value, mangrove forests have experienced a worldwide decline due to human activities. Bamboo structures, formed by poles driven into the soil, are being used to create a sheltered environment for mangrove restoration. The lack of design rules for the structures has led to mixed success rates in their implementation. Improving future designs requires a better understanding of how the bamboo poles affect waves and currents. Currents cause drag forces on the poles, which depend on flow acceleration through the elements (blockage), and the distance from wakes of upstream cylinders (sheltering). We developed a model that predicts the bulk drag coefficient of dense arrays of emergent cylinders in a current, including blockage, sheltering and a balance between turbulence production and dissipation. The model could reproduce measured bulk drag coefficients from the literature within a deviation of 20%. The model also showed that anisotropic structures with small spanwise spacing and large streamwise separation maximize the bulk drag coefficient, and the energy dissipation per pole. The application of the model can guide the design of future mangrove restoration efforts.
format	article
author	Alejandra Gijón Mancheño Wiljan Jansen Johan C. Winterwerp Wim S. J. Uijttewaal
author_facet	Alejandra Gijón Mancheño Wiljan Jansen Johan C. Winterwerp Wim S. J. Uijttewaal
author_sort	Alejandra Gijón Mancheño
title	Predictive model of bulk drag coefficient for a nature-based structure exposed to currents
title_short	Predictive model of bulk drag coefficient for a nature-based structure exposed to currents
title_full	Predictive model of bulk drag coefficient for a nature-based structure exposed to currents
title_fullStr	Predictive model of bulk drag coefficient for a nature-based structure exposed to currents
title_full_unstemmed	Predictive model of bulk drag coefficient for a nature-based structure exposed to currents
title_sort	predictive model of bulk drag coefficient for a nature-based structure exposed to currents
publisher	Nature Portfolio
publishDate	2021
url	https://doaj.org/article/badf7ba055414147b89b444ada997821
work_keys_str_mv	AT alejandragijonmancheno predictivemodelofbulkdragcoefficientforanaturebasedstructureexposedtocurrents AT wiljanjansen predictivemodelofbulkdragcoefficientforanaturebasedstructureexposedtocurrents AT johancwinterwerp predictivemodelofbulkdragcoefficientforanaturebasedstructureexposedtocurrents AT wimsjuijttewaal predictivemodelofbulkdragcoefficientforanaturebasedstructureexposedtocurrents
_version_	1718392938474504192

Predictive model of bulk drag coefficient for a nature-based structure exposed to currents

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