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Double Entropy Joint Distribution Function and Its Application in Calculation of Design Wave Height
Wave height and wave period are important oceanic environmental factors that are used to describe the randomness of a wave. Within the field of ocean engineering, the calculation of design wave height is of great significance. In this paper, a periodic maximum entropy distribution function with four...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7514171/ https://www.ncbi.nlm.nih.gov/pubmed/33266780 http://dx.doi.org/10.3390/e21010064 |
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author | Liu, Guilin Chen, Baiyu Jiang, Song Fu, Hanliang Wang, Liping Jiang, Wei |
author_facet | Liu, Guilin Chen, Baiyu Jiang, Song Fu, Hanliang Wang, Liping Jiang, Wei |
author_sort | Liu, Guilin |
collection | PubMed |
description | Wave height and wave period are important oceanic environmental factors that are used to describe the randomness of a wave. Within the field of ocean engineering, the calculation of design wave height is of great significance. In this paper, a periodic maximum entropy distribution function with four undetermined parameters is derived by means of coordinate transformation and solving conditional variational problems. A double entropy joint distribution function of wave height and wave period is also derived. The function is derived from the maximum entropy wave height function and the maximum entropy periodic function, with the help of structures of the Copula function. The double entropy joint distribution function of wave height and wave period is not limited by weak nonlinearity, nor by normal stochastic process and narrow spectrum. Besides, it can fit the observed data more carefully and be more widely applicable to nonlinear waves in various cases, owing to the many undetermined parameters it contains. The engineering cases show that the recurrence level derived from the double entropy joint distribution function is higher than that from the extreme value distribution using the single variables of wave height or wave period. It is also higher than that from the traditional joint distribution function of wave height and wave period. |
format | Online Article Text |
id | pubmed-7514171 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-75141712020-11-09 Double Entropy Joint Distribution Function and Its Application in Calculation of Design Wave Height Liu, Guilin Chen, Baiyu Jiang, Song Fu, Hanliang Wang, Liping Jiang, Wei Entropy (Basel) Article Wave height and wave period are important oceanic environmental factors that are used to describe the randomness of a wave. Within the field of ocean engineering, the calculation of design wave height is of great significance. In this paper, a periodic maximum entropy distribution function with four undetermined parameters is derived by means of coordinate transformation and solving conditional variational problems. A double entropy joint distribution function of wave height and wave period is also derived. The function is derived from the maximum entropy wave height function and the maximum entropy periodic function, with the help of structures of the Copula function. The double entropy joint distribution function of wave height and wave period is not limited by weak nonlinearity, nor by normal stochastic process and narrow spectrum. Besides, it can fit the observed data more carefully and be more widely applicable to nonlinear waves in various cases, owing to the many undetermined parameters it contains. The engineering cases show that the recurrence level derived from the double entropy joint distribution function is higher than that from the extreme value distribution using the single variables of wave height or wave period. It is also higher than that from the traditional joint distribution function of wave height and wave period. MDPI 2019-01-14 /pmc/articles/PMC7514171/ /pubmed/33266780 http://dx.doi.org/10.3390/e21010064 Text en © 2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Liu, Guilin Chen, Baiyu Jiang, Song Fu, Hanliang Wang, Liping Jiang, Wei Double Entropy Joint Distribution Function and Its Application in Calculation of Design Wave Height |
title | Double Entropy Joint Distribution Function and Its Application in Calculation of Design Wave Height |
title_full | Double Entropy Joint Distribution Function and Its Application in Calculation of Design Wave Height |
title_fullStr | Double Entropy Joint Distribution Function and Its Application in Calculation of Design Wave Height |
title_full_unstemmed | Double Entropy Joint Distribution Function and Its Application in Calculation of Design Wave Height |
title_short | Double Entropy Joint Distribution Function and Its Application in Calculation of Design Wave Height |
title_sort | double entropy joint distribution function and its application in calculation of design wave height |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7514171/ https://www.ncbi.nlm.nih.gov/pubmed/33266780 http://dx.doi.org/10.3390/e21010064 |
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