Multi-Objective Optimization of Three-Column Semi-Submersible Platforms Based on Surrogate Models

In the initial design stage of a semi-submersible platform, the main particulars of the platform are the key factor affecting the hydrodynamic performance and construction cost. Therefore, multi-objective optimization of the main particulars of the semi-submersible platform is of great engineering s...

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Autores principales:	QIU Wenzhen, SONG Xingyu, ZHANG Xinshu
Formato:	article
Lenguaje:	ZH
Publicado:	Editorial Office of Journal of Shanghai Jiao Tong University 2021
Materias:	multi-objective particle swarm optimization (mopso) surrogate model leave-one-out cross validation radial basis function Engineering (General). Civil engineering (General) TA1-2040 Chemical engineering TP155-156 Naval architecture. Shipbuilding. Marine engineering VM1-989
Acceso en línea:	https://doaj.org/article/9445939fad1749558fd8d7eddd3432c0
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id	oai:doaj.org-article:9445939fad1749558fd8d7eddd3432c0
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spelling	oai:doaj.org-article:9445939fad1749558fd8d7eddd3432c02021-11-04T09:35:15ZMulti-Objective Optimization of Three-Column Semi-Submersible Platforms Based on Surrogate Models1006-246710.16183/j.cnki.jsjtu.2019.087https://doaj.org/article/9445939fad1749558fd8d7eddd3432c02021-01-01T00:00:00Zhttp://xuebao.sjtu.edu.cn/CN/10.16183/j.cnki.jsjtu.2019.087https://doaj.org/toc/1006-2467In the initial design stage of a semi-submersible platform, the main particulars of the platform are the key factor affecting the hydrodynamic performance and construction cost. Therefore, multi-objective optimization of the main particulars of the semi-submersible platform is of great engineering significance. First, the design variables of each platform and sample database are determined by design of experiments. Then, the hydrodynamic performances of the semi-submersible platform are analyzed by using the panel method and Morison’s equation. The distribution of probes for estimating the wave elevations on the calm water surface is arranged, and the airgap can be computed. Based on the database obtained by numerical simulation, the surrogate models based on radial basis function (RBF) are established. Next, the formal parameters in RBF are obtained by using the leave-one-out cross validation method. The surrogate model can greatly improve the optimization efficiency. Finally, by using the multi-objective particle swarm optimization (MOPSO) method, taking safety and economy of offshore platforms as two optimization objectives, and taking platform stability, airgap and horizontal motion performance as constraints, the optimization program for the semi-submersible platform can be obtained. Through the detailed analyses of the optimization program for the semi-submersible platform, the most efficient design strategy for the three-column semi-submersible platform is proposed.QIU WenzhenSONG XingyuZHANG XinshuEditorial Office of Journal of Shanghai Jiao Tong Universityarticlemulti-objective particle swarm optimization (mopso)surrogate modelleave-one-out cross validationradial basis functionEngineering (General). Civil engineering (General)TA1-2040Chemical engineeringTP155-156Naval architecture. Shipbuilding. Marine engineeringVM1-989ZHShanghai Jiaotong Daxue xuebao, Vol 55, Iss 01, Pp 11-20 (2021)
institution	DOAJ
collection	DOAJ
language	ZH
topic	multi-objective particle swarm optimization (mopso) surrogate model leave-one-out cross validation radial basis function Engineering (General). Civil engineering (General) TA1-2040 Chemical engineering TP155-156 Naval architecture. Shipbuilding. Marine engineering VM1-989
spellingShingle	multi-objective particle swarm optimization (mopso) surrogate model leave-one-out cross validation radial basis function Engineering (General). Civil engineering (General) TA1-2040 Chemical engineering TP155-156 Naval architecture. Shipbuilding. Marine engineering VM1-989 QIU Wenzhen SONG Xingyu ZHANG Xinshu Multi-Objective Optimization of Three-Column Semi-Submersible Platforms Based on Surrogate Models
description	In the initial design stage of a semi-submersible platform, the main particulars of the platform are the key factor affecting the hydrodynamic performance and construction cost. Therefore, multi-objective optimization of the main particulars of the semi-submersible platform is of great engineering significance. First, the design variables of each platform and sample database are determined by design of experiments. Then, the hydrodynamic performances of the semi-submersible platform are analyzed by using the panel method and Morison’s equation. The distribution of probes for estimating the wave elevations on the calm water surface is arranged, and the airgap can be computed. Based on the database obtained by numerical simulation, the surrogate models based on radial basis function (RBF) are established. Next, the formal parameters in RBF are obtained by using the leave-one-out cross validation method. The surrogate model can greatly improve the optimization efficiency. Finally, by using the multi-objective particle swarm optimization (MOPSO) method, taking safety and economy of offshore platforms as two optimization objectives, and taking platform stability, airgap and horizontal motion performance as constraints, the optimization program for the semi-submersible platform can be obtained. Through the detailed analyses of the optimization program for the semi-submersible platform, the most efficient design strategy for the three-column semi-submersible platform is proposed.
format	article
author	QIU Wenzhen SONG Xingyu ZHANG Xinshu
author_facet	QIU Wenzhen SONG Xingyu ZHANG Xinshu
author_sort	QIU Wenzhen
title	Multi-Objective Optimization of Three-Column Semi-Submersible Platforms Based on Surrogate Models
title_short	Multi-Objective Optimization of Three-Column Semi-Submersible Platforms Based on Surrogate Models
title_full	Multi-Objective Optimization of Three-Column Semi-Submersible Platforms Based on Surrogate Models
title_fullStr	Multi-Objective Optimization of Three-Column Semi-Submersible Platforms Based on Surrogate Models
title_full_unstemmed	Multi-Objective Optimization of Three-Column Semi-Submersible Platforms Based on Surrogate Models
title_sort	multi-objective optimization of three-column semi-submersible platforms based on surrogate models
publisher	Editorial Office of Journal of Shanghai Jiao Tong University
publishDate	2021
url	https://doaj.org/article/9445939fad1749558fd8d7eddd3432c0
work_keys_str_mv	AT qiuwenzhen multiobjectiveoptimizationofthreecolumnsemisubmersibleplatformsbasedonsurrogatemodels AT songxingyu multiobjectiveoptimizationofthreecolumnsemisubmersibleplatformsbasedonsurrogatemodels AT zhangxinshu multiobjectiveoptimizationofthreecolumnsemisubmersibleplatformsbasedonsurrogatemodels
_version_	1718444976321331200

Multi-Objective Optimization of Three-Column Semi-Submersible Platforms Based on Surrogate Models

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