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The accuracy of the MFMNS and FMNS models in predicting long-term distribution of the extreme values of offshore structural response

Offshore structures are exposed to random wave loading in the ocean environment, and hence the probability distribution of the extreme values of their response to wave loading is of great value in the design of these structures. Due to nonlinearity of the drag component of Morison's wave loadin...

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Main Authors: Mohd. Zaki, Noor Irza, Abu Husain, M. K., Najafian, G.
Format: Conference or Workshop Item
Published: 2014
Subjects:
T Technology
Online Access:http://eprints.utm.my/id/eprint/62838/
http://dx.doi.org/10.1115/OMAE2014-23142
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id my.utm.62838
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spelling my.utm.628382017-06-18T05:58:58Z http://eprints.utm.my/id/eprint/62838/ The accuracy of the MFMNS and FMNS models in predicting long-term distribution of the extreme values of offshore structural response Mohd. Zaki, Noor Irza Abu Husain, M. K. Najafian, G. T Technology Offshore structures are exposed to random wave loading in the ocean environment, and hence the probability distribution of the extreme values of their response to wave loading is of great value in the design of these structures. 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. Monte Carlo time simulation technique can be used to derive the probabilistic properties of offshore structural response, but the procedure is computationally demanding. Finite-memory nonlinear system (FMNS) modeling of the response of an offshore structure exposed to Morison's wave loading has been introduced to reduce the computational effort, but the predictions are not very good for low intensity sea states. To overcome this deficiency, a modified version of the FMNS technique (referred to as MFMNS modeling) was proposed which improves the accuracy, but is computationally less efficient than the FMNS modeling. In this study, the accuracy of the 100-year responses derived from the long-term probability distribution of extreme responses from FMNS and MFMNS methods is investigated. 2014 Conference or Workshop Item PeerReviewed Mohd. Zaki, Noor Irza and Abu Husain, M. K. and Najafian, G. (2014) The accuracy of the MFMNS and FMNS models in predicting long-term distribution of the extreme values of offshore structural response. In: 33rd International Conference on Ocean, Offshore and Arctic Engineering, ASME 2014, 8-13 June, 2014, USA. http://dx.doi.org/10.1115/OMAE2014-23142
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
Mohd. Zaki, Noor Irza
Abu Husain, M. K.
Najafian, G.
The accuracy of the MFMNS and FMNS models in predicting long-term distribution of the extreme values of offshore structural response
description Offshore structures are exposed to random wave loading in the ocean environment, and hence the probability distribution of the extreme values of their response to wave loading is of great value in the design of these structures. 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. Monte Carlo time simulation technique can be used to derive the probabilistic properties of offshore structural response, but the procedure is computationally demanding. Finite-memory nonlinear system (FMNS) modeling of the response of an offshore structure exposed to Morison's wave loading has been introduced to reduce the computational effort, but the predictions are not very good for low intensity sea states. To overcome this deficiency, a modified version of the FMNS technique (referred to as MFMNS modeling) was proposed which improves the accuracy, but is computationally less efficient than the FMNS modeling. In this study, the accuracy of the 100-year responses derived from the long-term probability distribution of extreme responses from FMNS and MFMNS methods is investigated.
format Conference or Workshop Item
author Mohd. Zaki, Noor Irza
Abu Husain, M. K.
Najafian, G.
author_facet Mohd. Zaki, Noor Irza
Abu Husain, M. K.
Najafian, G.
author_sort Mohd. Zaki, Noor Irza
title The accuracy of the MFMNS and FMNS models in predicting long-term distribution of the extreme values of offshore structural response
title_short The accuracy of the MFMNS and FMNS models in predicting long-term distribution of the extreme values of offshore structural response
title_full The accuracy of the MFMNS and FMNS models in predicting long-term distribution of the extreme values of offshore structural response
title_fullStr The accuracy of the MFMNS and FMNS models in predicting long-term distribution of the extreme values of offshore structural response
title_full_unstemmed The accuracy of the MFMNS and FMNS models in predicting long-term distribution of the extreme values of offshore structural response
title_sort accuracy of the mfmns and fmns models in predicting long-term distribution of the extreme values of offshore structural response
publishDate 2014
url http://eprints.utm.my/id/eprint/62838/
http://dx.doi.org/10.1115/OMAE2014-23142
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score 13.211869

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