Efficient derivation of extreme non-gaussian stochastic structural response using finite-memory nonlinear system. Part 2: model validation
An analysis of the structure based on linear wave analysis is suggested as a preliminary analysis to assess the overall integrity of the structure. In situations where the results of the preliminary analysis are found to be extreme with several critical conditions, a more detailed structural analysi...
| Main Authors: | , , , , |
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| Format: | Article |
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Taylor and Francis Group
2022
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| author | Mukhlas, Nurul Azizah Mohd. Zaki, Noor Irza Abu Husain, Mohd. Khairi Syed Ahmad, Sayyid Zainal Abidin Najafian, Gholamhossein |
| author_facet | Mukhlas, Nurul Azizah Mohd. Zaki, Noor Irza Abu Husain, Mohd. Khairi Syed Ahmad, Sayyid Zainal Abidin Najafian, Gholamhossein |
| author_sort | Mukhlas, Nurul Azizah |
| collection | ePrints |
| description | An analysis of the structure based on linear wave analysis is suggested as a preliminary analysis to assess the overall integrity of the structure. In situations where the results of the preliminary analysis are found to be extreme with several critical conditions, a more detailed structural analysis is suggested to conduct a nonlinear wave. Recently, an efficient model has been developed to test the extreme offshore structural response based on the nonlinear wave analysis using the time-domain approach. It is the derivation of non-Gaussian stochastic offshore structural response using the finite-memory nonlinear system, known as (Formula presented.). This paper focuses on the validation on the performance of the (Formula presented.) method in the analysis of short-term 100-year of extreme offshore structural responses. Providing good accuracy, the (Formula presented.) method offered a more efficient approach for an optimum and economical structural analysis. |
| first_indexed | 2024-03-05T21:29:35Z |
| format | Article |
| id | utm.eprints-104112 |
| institution | Universiti Teknologi Malaysia - ePrints |
| last_indexed | 2024-03-05T21:29:35Z |
| publishDate | 2022 |
| publisher | Taylor and Francis Group |
| record_format | dspace |
| spelling | utm.eprints-1041122024-01-17T01:12:55Z http://eprints.utm.my/104112/ Efficient derivation of extreme non-gaussian stochastic structural response using finite-memory nonlinear system. Part 2: model validation Mukhlas, Nurul Azizah Mohd. Zaki, Noor Irza Abu Husain, Mohd. Khairi Syed Ahmad, Sayyid Zainal Abidin Najafian, Gholamhossein Q Science (General) T Technology (General) An analysis of the structure based on linear wave analysis is suggested as a preliminary analysis to assess the overall integrity of the structure. In situations where the results of the preliminary analysis are found to be extreme with several critical conditions, a more detailed structural analysis is suggested to conduct a nonlinear wave. Recently, an efficient model has been developed to test the extreme offshore structural response based on the nonlinear wave analysis using the time-domain approach. It is the derivation of non-Gaussian stochastic offshore structural response using the finite-memory nonlinear system, known as (Formula presented.). This paper focuses on the validation on the performance of the (Formula presented.) method in the analysis of short-term 100-year of extreme offshore structural responses. Providing good accuracy, the (Formula presented.) method offered a more efficient approach for an optimum and economical structural analysis. Taylor and Francis Group 2022 Article PeerReviewed Mukhlas, Nurul Azizah and Mohd. Zaki, Noor Irza and Abu Husain, Mohd. Khairi and Syed Ahmad, Sayyid Zainal Abidin and Najafian, Gholamhossein (2022) Efficient derivation of extreme non-gaussian stochastic structural response using finite-memory nonlinear system. Part 2: model validation. Ships and Offshore Structures, 17 (6). pp. 1209-1223. ISSN 1744-5302 http://dx.doi.org/10.1080/17445302.2021.1898127 DOI:10.1080/17445302.2021.1898127 |
| spellingShingle | Q Science (General) T Technology (General) Mukhlas, Nurul Azizah Mohd. Zaki, Noor Irza Abu Husain, Mohd. Khairi Syed Ahmad, Sayyid Zainal Abidin Najafian, Gholamhossein Efficient derivation of extreme non-gaussian stochastic structural response using finite-memory nonlinear system. Part 2: model validation |
| title | Efficient derivation of extreme non-gaussian stochastic structural response using finite-memory nonlinear system. Part 2: model validation |
| title_full | Efficient derivation of extreme non-gaussian stochastic structural response using finite-memory nonlinear system. Part 2: model validation |
| title_fullStr | Efficient derivation of extreme non-gaussian stochastic structural response using finite-memory nonlinear system. Part 2: model validation |
| title_full_unstemmed | Efficient derivation of extreme non-gaussian stochastic structural response using finite-memory nonlinear system. Part 2: model validation |
| title_short | Efficient derivation of extreme non-gaussian stochastic structural response using finite-memory nonlinear system. Part 2: model validation |
| title_sort | efficient derivation of extreme non gaussian stochastic structural response using finite memory nonlinear system part 2 model validation |
| topic | Q Science (General) T Technology (General) |
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