An Improved Version of ETS-Regression Models in Calculating the Fixed Offshore Platform Responses
An offshore structural design should accurately calculate wave loads and structural responses acting on slender cylinders. The hydrodynamic drag-dominated force was always challenging, hence the hydrodynamic wave loading became a complex solution; it led to a nonlinear relation between the wave forc...
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| Format: | Article |
| Language: | English |
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MDPI AG
2022-11-01
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| Series: | Journal of Marine Science and Engineering |
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| Online Access: | https://www.mdpi.com/2077-1312/10/11/1727 |
| _version_ | 1797464931045474304 |
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| author | Sayyid Zainal Abidin Syed Ahmad Mohd Khairi Abu Husain Noor Irza Mohd Zaki Nurul ‘Azizah Mukhlas Gholamhossein Najafian |
| author_facet | Sayyid Zainal Abidin Syed Ahmad Mohd Khairi Abu Husain Noor Irza Mohd Zaki Nurul ‘Azizah Mukhlas Gholamhossein Najafian |
| author_sort | Sayyid Zainal Abidin Syed Ahmad |
| collection | DOAJ |
| description | An offshore structural design should accurately calculate wave loads and structural responses acting on slender cylinders. The hydrodynamic drag-dominated force was always challenging, hence the hydrodynamic wave loading became a complex solution; it led to a nonlinear relation between the wave force and responses caused by the diffracted and radiated waves, which was included in Morison’s equation. For more consistency in the structural assessment, the linearised drag–inertia force was considered in model development, such as an improved version of the efficient time simulation regression (ETS-Reg) procedure that was introduced. The study aimed to improve the prediction of structural responses using the predetermined linear, polynomial, and cubic regression models. These simulations were performed focusing on high sea state conditions without wave-induced current effects. In order to evaluate the level of accuracy, the recent ETS-Reg models were compared and validated using the Monte Carlo time simulation (MCTS) method. An amended ETS-Reg model, known as the ETS-Reg<i><sub>LR</sub></i> model, was also compared with the previous results obtained using the conventional ETS-Reg models (ETS-Reg<i><sub>SE</sub></i>), leading to better structural response calculations. |
| first_indexed | 2024-03-09T18:15:11Z |
| format | Article |
| id | doaj.art-e1308b46a5494a84b3cd834b013d7661 |
| institution | Directory Open Access Journal |
| issn | 2077-1312 |
| language | English |
| last_indexed | 2024-03-09T18:15:11Z |
| publishDate | 2022-11-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Journal of Marine Science and Engineering |
| spelling | doaj.art-e1308b46a5494a84b3cd834b013d76612023-11-24T08:51:53ZengMDPI AGJournal of Marine Science and Engineering2077-13122022-11-011011172710.3390/jmse10111727An Improved Version of ETS-Regression Models in Calculating the Fixed Offshore Platform ResponsesSayyid Zainal Abidin Syed Ahmad0Mohd Khairi Abu Husain1Noor Irza Mohd Zaki2Nurul ‘Azizah Mukhlas3Gholamhossein Najafian4Faculty of Ocean Engineering Technology and Informatics, Universiti Malaysia Terengganu, Kuala Nerus 21030, MalaysiaRazak Faculty of Technology and Informatics, Universiti Teknologi Malaysia, Kuala Lumpur 54100, MalaysiaRazak Faculty of Technology and Informatics, Universiti Teknologi Malaysia, Kuala Lumpur 54100, MalaysiaSchool of Civil Engineering, Universiti Teknologi Malaysia, Johor Bahru 80050, MalaysiaSchool of Civil Engineering, The University of Liverpool, Liverpool L69 3GQ, UKAn offshore structural design should accurately calculate wave loads and structural responses acting on slender cylinders. The hydrodynamic drag-dominated force was always challenging, hence the hydrodynamic wave loading became a complex solution; it led to a nonlinear relation between the wave force and responses caused by the diffracted and radiated waves, which was included in Morison’s equation. For more consistency in the structural assessment, the linearised drag–inertia force was considered in model development, such as an improved version of the efficient time simulation regression (ETS-Reg) procedure that was introduced. The study aimed to improve the prediction of structural responses using the predetermined linear, polynomial, and cubic regression models. These simulations were performed focusing on high sea state conditions without wave-induced current effects. In order to evaluate the level of accuracy, the recent ETS-Reg models were compared and validated using the Monte Carlo time simulation (MCTS) method. An amended ETS-Reg model, known as the ETS-Reg<i><sub>LR</sub></i> model, was also compared with the previous results obtained using the conventional ETS-Reg models (ETS-Reg<i><sub>SE</sub></i>), leading to better structural response calculations.https://www.mdpi.com/2077-1312/10/11/1727offshore structuretime simulationregression modelextreme structural responsesMonte Carlo time simulation |
| spellingShingle | Sayyid Zainal Abidin Syed Ahmad Mohd Khairi Abu Husain Noor Irza Mohd Zaki Nurul ‘Azizah Mukhlas Gholamhossein Najafian An Improved Version of ETS-Regression Models in Calculating the Fixed Offshore Platform Responses Journal of Marine Science and Engineering offshore structure time simulation regression model extreme structural responses Monte Carlo time simulation |
| title | An Improved Version of ETS-Regression Models in Calculating the Fixed Offshore Platform Responses |
| title_full | An Improved Version of ETS-Regression Models in Calculating the Fixed Offshore Platform Responses |
| title_fullStr | An Improved Version of ETS-Regression Models in Calculating the Fixed Offshore Platform Responses |
| title_full_unstemmed | An Improved Version of ETS-Regression Models in Calculating the Fixed Offshore Platform Responses |
| title_short | An Improved Version of ETS-Regression Models in Calculating the Fixed Offshore Platform Responses |
| title_sort | improved version of ets regression models in calculating the fixed offshore platform responses |
| topic | offshore structure time simulation regression model extreme structural responses Monte Carlo time simulation |
| url | https://www.mdpi.com/2077-1312/10/11/1727 |
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