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Genetic Algorithm model and data files to assess JONSWAP spectra coefficients: MATLAB code

This data article presents the structure of a Genetic Algorithm model written in a MATLAB code for finding the 1D JONSWAP spectra parameters when measured raw spectra is not available. The JONSWAP spectra is widely used in Coastal, Offshore, and Ocean Engineering for determining wave parameters for...

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Detalles Bibliográficos
Autores principales: Rueda-Bayona, Juan Gabriel, Guzmán, Andrés
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7452513/
https://www.ncbi.nlm.nih.gov/pubmed/32904285
http://dx.doi.org/10.1016/j.dib.2020.106196
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author Rueda-Bayona, Juan Gabriel
Guzmán, Andrés
author_facet Rueda-Bayona, Juan Gabriel
Guzmán, Andrés
author_sort Rueda-Bayona, Juan Gabriel
collection PubMed
description This data article presents the structure of a Genetic Algorithm model written in a MATLAB code for finding the 1D JONSWAP spectra parameters when measured raw spectra is not available. The JONSWAP spectra is widely used in Coastal, Offshore, and Ocean Engineering for determining wave parameters for structure designing and numerical modeling. However, finding proper spectra parameters may be difficult because of the limitations of parameterized equations to do so and the high non-linear relation between the alpha and gamma coefficients. This GA model can find the alpha and gamma parameters for specific locations considering sea-state's evolution and water-depth transitions. The application of the GA model of this data article is shown in Rueda-Bayona et al. [1].
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spelling pubmed-74525132020-09-04 Genetic Algorithm model and data files to assess JONSWAP spectra coefficients: MATLAB code Rueda-Bayona, Juan Gabriel Guzmán, Andrés Data Brief Engineering This data article presents the structure of a Genetic Algorithm model written in a MATLAB code for finding the 1D JONSWAP spectra parameters when measured raw spectra is not available. The JONSWAP spectra is widely used in Coastal, Offshore, and Ocean Engineering for determining wave parameters for structure designing and numerical modeling. However, finding proper spectra parameters may be difficult because of the limitations of parameterized equations to do so and the high non-linear relation between the alpha and gamma coefficients. This GA model can find the alpha and gamma parameters for specific locations considering sea-state's evolution and water-depth transitions. The application of the GA model of this data article is shown in Rueda-Bayona et al. [1]. Elsevier 2020-08-19 /pmc/articles/PMC7452513/ /pubmed/32904285 http://dx.doi.org/10.1016/j.dib.2020.106196 Text en © 2020 The Author(s) http://creativecommons.org/licenses/by/4.0/ This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Engineering
Rueda-Bayona, Juan Gabriel
Guzmán, Andrés
Genetic Algorithm model and data files to assess JONSWAP spectra coefficients: MATLAB code
title Genetic Algorithm model and data files to assess JONSWAP spectra coefficients: MATLAB code
title_full Genetic Algorithm model and data files to assess JONSWAP spectra coefficients: MATLAB code
title_fullStr Genetic Algorithm model and data files to assess JONSWAP spectra coefficients: MATLAB code
title_full_unstemmed Genetic Algorithm model and data files to assess JONSWAP spectra coefficients: MATLAB code
title_short Genetic Algorithm model and data files to assess JONSWAP spectra coefficients: MATLAB code
title_sort genetic algorithm model and data files to assess jonswap spectra coefficients: matlab code
topic Engineering
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7452513/
https://www.ncbi.nlm.nih.gov/pubmed/32904285
http://dx.doi.org/10.1016/j.dib.2020.106196
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