Probability distribution of wave run up and dynamic response on a large volume semi-submersible

The wave run up under semi-submersible platform deck and the dynamic response are important design factors, and determine the expected minimum air gap in extreme design conditions. For a semi-submersible, the prediction of probabilities wave run up in harsh environments is a challenging task. This p...

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Main Authors: Priyanto, Agoes, Adi, Maimun, Kader, A. S. A., Ismail, Nasrudin, Abdul Ghani, Mohamad Pauzi, Nur, Izzuddin, Jaswar, Koto
Format: Article
Published: Elsevier 2014
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Online Access:http://eprints.utm.my/id/eprint/62338/
http://dx.doi.org/10.1016/j.oceaneng.2013.11.022
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spelling my.utm.623382017-06-05T07:13:09Z http://eprints.utm.my/id/eprint/62338/ Probability distribution of wave run up and dynamic response on a large volume semi-submersible Priyanto, Agoes Adi, Maimun Kader, A. S. A. Ismail, Nasrudin Abdul Ghani, Mohamad Pauzi Nur, Izzuddin Jaswar, Koto TJ Mechanical engineering and machinery The wave run up under semi-submersible platform deck and the dynamic response are important design factors, and determine the expected minimum air gap in extreme design conditions. For a semi-submersible, the prediction of probabilities wave run up in harsh environments is a challenging task. This paper addresses the problem of expressing the probability density and cumulative distribution functions that utilize Weibull distribution to model estimates the waves run up for a large volume semi-submersible squared-section columns platform in two sea states. The two parameters Weibull distribution, namely shape parameter and scale parameter were considered. The analysis interpreted the measured data of 9 realizations with different seeds in the moored model experiments. The length of total measured data analyzed included approximately 9 times 250 waves for each sea state. The wave run up was found by model estimates using a Rayleigh distribution, and some waves run up were identical apart from one another for different seeds. Finally, by this model with a sequence return for two sea states the associated motions distribution for the large volume semi-submersible platform were numerically predicted. Elsevier 2014 Article PeerReviewed Priyanto, Agoes and Adi, Maimun and Kader, A. S. A. and Ismail, Nasrudin and Abdul Ghani, Mohamad Pauzi and Nur, Izzuddin and Jaswar, Koto (2014) Probability distribution of wave run up and dynamic response on a large volume semi-submersible. Ocean Engineering, 76 . pp. 52-64. ISSN 0029-8018 http://dx.doi.org/10.1016/j.oceaneng.2013.11.022 DOI:10.1016/j.oceaneng.2013.11.022
institution Universiti Teknologi Malaysia
building UTM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Malaysia
content_source UTM Institutional Repository
url_provider http://eprints.utm.my/
topic TJ Mechanical engineering and machinery
spellingShingle TJ Mechanical engineering and machinery
Priyanto, Agoes
Adi, Maimun
Kader, A. S. A.
Ismail, Nasrudin
Abdul Ghani, Mohamad Pauzi
Nur, Izzuddin
Jaswar, Koto
Probability distribution of wave run up and dynamic response on a large volume semi-submersible
description The wave run up under semi-submersible platform deck and the dynamic response are important design factors, and determine the expected minimum air gap in extreme design conditions. For a semi-submersible, the prediction of probabilities wave run up in harsh environments is a challenging task. This paper addresses the problem of expressing the probability density and cumulative distribution functions that utilize Weibull distribution to model estimates the waves run up for a large volume semi-submersible squared-section columns platform in two sea states. The two parameters Weibull distribution, namely shape parameter and scale parameter were considered. The analysis interpreted the measured data of 9 realizations with different seeds in the moored model experiments. The length of total measured data analyzed included approximately 9 times 250 waves for each sea state. The wave run up was found by model estimates using a Rayleigh distribution, and some waves run up were identical apart from one another for different seeds. Finally, by this model with a sequence return for two sea states the associated motions distribution for the large volume semi-submersible platform were numerically predicted.
format Article
author Priyanto, Agoes
Adi, Maimun
Kader, A. S. A.
Ismail, Nasrudin
Abdul Ghani, Mohamad Pauzi
Nur, Izzuddin
Jaswar, Koto
author_facet Priyanto, Agoes
Adi, Maimun
Kader, A. S. A.
Ismail, Nasrudin
Abdul Ghani, Mohamad Pauzi
Nur, Izzuddin
Jaswar, Koto
author_sort Priyanto, Agoes
title Probability distribution of wave run up and dynamic response on a large volume semi-submersible
title_short Probability distribution of wave run up and dynamic response on a large volume semi-submersible
title_full Probability distribution of wave run up and dynamic response on a large volume semi-submersible
title_fullStr Probability distribution of wave run up and dynamic response on a large volume semi-submersible
title_full_unstemmed Probability distribution of wave run up and dynamic response on a large volume semi-submersible
title_sort probability distribution of wave run up and dynamic response on a large volume semi-submersible
publisher Elsevier
publishDate 2014
url http://eprints.utm.my/id/eprint/62338/
http://dx.doi.org/10.1016/j.oceaneng.2013.11.022
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score 13.18916