Staff View: Accurate estimation of the 100-year responses from the probability distribution of extreme surface elevations

Accurate estimation of the 100-year responses from the probability distribution of extreme surface elevations

Accurate estimation of the 100-year responses (derived from the long-term distribution of extreme responses) is required for the safe and economical design of offshore structures. However, due to nonlinearity of the drag component of Morison's wave loading and also due to intermittency of wave...

Full description

Saved in:

Bibliographic Details
Main Authors:	Mallahzadeh, H., Wang, Ya Xing, Abu Husain, Mohd. Khairi, Mohd. Zaki, N. I., Najafian, Gholamhossein
Format:	Article
Published:	American Society of Mechanical Engineers (ASME) 2014
Subjects:	T Technology
Online Access:	http://eprints.utm.my/id/eprint/51709/ http://dx.doi.org/10.1115/OMAE2014-24589
Tags:	Add Tag No Tags, Be the first to tag this record!

id	my.utm.51709
record_format	eprints
spelling	my.utm.517092018-10-14T08:37:13Z http://eprints.utm.my/id/eprint/51709/ Accurate estimation of the 100-year responses from the probability distribution of extreme surface elevations Mallahzadeh, H. Wang, Ya Xing Abu Husain, Mohd. Khairi Mohd. Zaki, N. I. Najafian, Gholamhossein T Technology Accurate estimation of the 100-year responses (derived from the long-term distribution of extreme responses) is required for the safe and economical design of offshore structures. However, due to nonlinearity of the drag component of Morison's wave loading and also due to intermittency of wave loading on members in the splash zone, the response is often non-Gaussian; therefore, simple techniques for derivation of the probability distribution of extreme responses are not available. To this end, conventional Monte Carlo time simulation technique could be used for predicting the long-term probability distribution of the extreme responses. However, this technique suffers from excessive sampling variability and hence a large number of simulated response records are required to reduce the sampling variability to acceptable levels. This paper takes advantage of the correlation between extreme responses and their corresponding extreme surface elevations to derive the values of the 100-year responses without the need for extensive simulations. It is demonstrated that the technique could be used for both quasi-static and dynamic responses American Society of Mechanical Engineers (ASME) 2014 Article PeerReviewed Mallahzadeh, H. and Wang, Ya Xing and Abu Husain, Mohd. Khairi and Mohd. Zaki, N. I. and Najafian, Gholamhossein (2014) Accurate estimation of the 100-year responses from the probability distribution of extreme surface elevations. Proceedings of the International Conference on Offshore Mechanics and Arctic Engineering - OMAE, 4B . http://dx.doi.org/10.1115/OMAE2014-24589
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	T Technology
spellingShingle	T Technology Mallahzadeh, H. Wang, Ya Xing Abu Husain, Mohd. Khairi Mohd. Zaki, N. I. Najafian, Gholamhossein Accurate estimation of the 100-year responses from the probability distribution of extreme surface elevations
description	Accurate estimation of the 100-year responses (derived from the long-term distribution of extreme responses) is required for the safe and economical design of offshore structures. However, due to nonlinearity of the drag component of Morison's wave loading and also due to intermittency of wave loading on members in the splash zone, the response is often non-Gaussian; therefore, simple techniques for derivation of the probability distribution of extreme responses are not available. To this end, conventional Monte Carlo time simulation technique could be used for predicting the long-term probability distribution of the extreme responses. However, this technique suffers from excessive sampling variability and hence a large number of simulated response records are required to reduce the sampling variability to acceptable levels. This paper takes advantage of the correlation between extreme responses and their corresponding extreme surface elevations to derive the values of the 100-year responses without the need for extensive simulations. It is demonstrated that the technique could be used for both quasi-static and dynamic responses
format	Article
author	Mallahzadeh, H. Wang, Ya Xing Abu Husain, Mohd. Khairi Mohd. Zaki, N. I. Najafian, Gholamhossein
author_facet	Mallahzadeh, H. Wang, Ya Xing Abu Husain, Mohd. Khairi Mohd. Zaki, N. I. Najafian, Gholamhossein
author_sort	Mallahzadeh, H.
title	Accurate estimation of the 100-year responses from the probability distribution of extreme surface elevations
title_short	Accurate estimation of the 100-year responses from the probability distribution of extreme surface elevations
title_full	Accurate estimation of the 100-year responses from the probability distribution of extreme surface elevations
title_fullStr	Accurate estimation of the 100-year responses from the probability distribution of extreme surface elevations
title_full_unstemmed	Accurate estimation of the 100-year responses from the probability distribution of extreme surface elevations
title_sort	accurate estimation of the 100-year responses from the probability distribution of extreme surface elevations
publisher	American Society of Mechanical Engineers (ASME)
publishDate	2014
url	http://eprints.utm.my/id/eprint/51709/ http://dx.doi.org/10.1115/OMAE2014-24589
_version_	1643653049955123200
score	13.211869

Accurate estimation of the 100-year responses from the probability distribution of extreme surface elevations

Similar Items