Extreme response prediction for fixed offshore structures by efficient time simulation regression procedures. Part 2: model validation

The major component of environmental loadings on offshore structures is the wave-induced loads. The time-domain analysis has been commonly preferred to assess offshore structures because it provides considerable benefits to the practicing engineer without losing accuracy. However, such assessments a...

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Main Authors: Syed Ahmad, Sayyid Zainal Abidin, Abu Husain, Mohd. Khairi, Mohd. Zaki, N. I., Mukhlas, Nurul ‘Azizah, Najafian, Gholamhossein
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Published: Taylor & Francis Group 2023
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Online Access:http://eprints.utm.my/106947/
http://dx.doi.org/10.1080/17445302.2022.2059252
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spelling my.utm.1069472024-08-23T01:32:15Z http://eprints.utm.my/106947/ Extreme response prediction for fixed offshore structures by efficient time simulation regression procedures. Part 2: model validation Syed Ahmad, Sayyid Zainal Abidin Abu Husain, Mohd. Khairi Mohd. Zaki, N. I. Mukhlas, Nurul ‘Azizah Najafian, Gholamhossein T58.5-58.64 Information technology The major component of environmental loadings on offshore structures is the wave-induced loads. The time-domain analysis has been commonly preferred to assess offshore structures because it provides considerable benefits to the practicing engineer without losing accuracy. However, such assessments are high computational demands and time costs due to complex numerical procedures in completing the hydrodynamic loadings on the offshore structures. Moreover, a huge number of simulations is required to increase the accuracy, leading to a long processing time. Hence, a simplified analysis-based time domain is introduced by applying direct calculation procedures to overcome this issue. It refers to an efficient time simulation regression method called the ETS-RegSE model. The result of the Monte Carlo Time Simulation (MCTS) will be used to compare the performance of the ETS-RegSE model’s output. Provided with reasonable accuracy, the ETS-RegSE model offered a more efficient approach to optimal and costeffective structural analysis. Taylor & Francis Group 2023 Article PeerReviewed Syed Ahmad, Sayyid Zainal Abidin and Abu Husain, Mohd. Khairi and Mohd. Zaki, N. I. and Mukhlas, Nurul ‘Azizah and Najafian, Gholamhossein (2023) Extreme response prediction for fixed offshore structures by efficient time simulation regression procedures. Part 2: model validation. Ships and Offshore Structures, 18 (3). pp. 414-422. ISSN 1744-5302 http://dx.doi.org/10.1080/17445302.2022.2059252 DOI:10.1080/17445302.2022.2059252
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 T58.5-58.64 Information technology
spellingShingle T58.5-58.64 Information technology
Syed Ahmad, Sayyid Zainal Abidin
Abu Husain, Mohd. Khairi
Mohd. Zaki, N. I.
Mukhlas, Nurul ‘Azizah
Najafian, Gholamhossein
Extreme response prediction for fixed offshore structures by efficient time simulation regression procedures. Part 2: model validation
description The major component of environmental loadings on offshore structures is the wave-induced loads. The time-domain analysis has been commonly preferred to assess offshore structures because it provides considerable benefits to the practicing engineer without losing accuracy. However, such assessments are high computational demands and time costs due to complex numerical procedures in completing the hydrodynamic loadings on the offshore structures. Moreover, a huge number of simulations is required to increase the accuracy, leading to a long processing time. Hence, a simplified analysis-based time domain is introduced by applying direct calculation procedures to overcome this issue. It refers to an efficient time simulation regression method called the ETS-RegSE model. The result of the Monte Carlo Time Simulation (MCTS) will be used to compare the performance of the ETS-RegSE model’s output. Provided with reasonable accuracy, the ETS-RegSE model offered a more efficient approach to optimal and costeffective structural analysis.
format Article
author Syed Ahmad, Sayyid Zainal Abidin
Abu Husain, Mohd. Khairi
Mohd. Zaki, N. I.
Mukhlas, Nurul ‘Azizah
Najafian, Gholamhossein
author_facet Syed Ahmad, Sayyid Zainal Abidin
Abu Husain, Mohd. Khairi
Mohd. Zaki, N. I.
Mukhlas, Nurul ‘Azizah
Najafian, Gholamhossein
author_sort Syed Ahmad, Sayyid Zainal Abidin
title Extreme response prediction for fixed offshore structures by efficient time simulation regression procedures. Part 2: model validation
title_short Extreme response prediction for fixed offshore structures by efficient time simulation regression procedures. Part 2: model validation
title_full Extreme response prediction for fixed offshore structures by efficient time simulation regression procedures. Part 2: model validation
title_fullStr Extreme response prediction for fixed offshore structures by efficient time simulation regression procedures. Part 2: model validation
title_full_unstemmed Extreme response prediction for fixed offshore structures by efficient time simulation regression procedures. Part 2: model validation
title_sort extreme response prediction for fixed offshore structures by efficient time simulation regression procedures. part 2: model validation
publisher Taylor & Francis Group
publishDate 2023
url http://eprints.utm.my/106947/
http://dx.doi.org/10.1080/17445302.2022.2059252
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score 13.214268