Vibration suppression of multi-component floating structures via passive TMDs and Bayesian ascent
This paper aims to achieve vibration suppression for multi-component floating structures under ocean waves. To this end, a multiple-passive-TMD (tuned mass damper) structure is employed, and a numerical model is developed incorporating both the dynamics of a hinged floating foundation and passive TM...
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| Published in | Ocean engineering Vol. 259; p. 112088 |
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| Main Authors | , , , , , |
| Format | Journal Article |
| Language | English |
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Elsevier Ltd
01.09.2022
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| Abstract | This paper aims to achieve vibration suppression for multi-component floating structures under ocean waves. To this end, a multiple-passive-TMD (tuned mass damper) structure is employed, and a numerical model is developed incorporating both the dynamics of a hinged floating foundation and passive TMDs. A data-driven parameter optimization method is developed to search for optimal TMD parameters. This method is built upon Bayesian Ascent (BA) – an advanced sequential searching strategy for optimizing black-box functions, combining the merits of both the Bayesian Optimization method and the gradient-free trust-region algorithm. Simulation results under different wave conditions verify the effectiveness of the BA-based parameter selection method, showing that the resulting passive TMDs can significantly reduce the vibration of the whole floating structure.
•A novel data-driven optimization method is designed for vibration suppression.•A multi-component floating structure with TMD modules is modeled and analyzed.•The parameters of TMDs are optimized by a Bayesian-based data-driven method.•The proposed method can reduce vibrations subject to different wave conditions. |
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| AbstractList | This paper aims to achieve vibration suppression for multi-component floating structures under ocean waves. To this end, a multiple-passive-TMD (tuned mass damper) structure is employed, and a numerical model is developed incorporating both the dynamics of a hinged floating foundation and passive TMDs. A data-driven parameter optimization method is developed to search for optimal TMD parameters. This method is built upon Bayesian Ascent (BA) – an advanced sequential searching strategy for optimizing black-box functions, combining the merits of both the Bayesian Optimization method and the gradient-free trust-region algorithm. Simulation results under different wave conditions verify the effectiveness of the BA-based parameter selection method, showing that the resulting passive TMDs can significantly reduce the vibration of the whole floating structure.
•A novel data-driven optimization method is designed for vibration suppression.•A multi-component floating structure with TMD modules is modeled and analyzed.•The parameters of TMDs are optimized by a Bayesian-based data-driven method.•The proposed method can reduce vibrations subject to different wave conditions. |
| ArticleNumber | 112088 |
| Author | Dong, Hongyang Liang, Yibo Zhao, Xiaowei Zhang, Xiantao Brennan, Feargal Lu, Da |
| Author_xml | – sequence: 1 givenname: Xiantao surname: Zhang fullname: Zhang, Xiantao email: zhxt@sjtu.edu.cn organization: State Key Laboratory of Ocean Engineering, Shanghai Jiao Tong University, Shanghai, China – sequence: 2 givenname: Da surname: Lu fullname: Lu, Da email: nichenrugu@sjtu.edu.cn organization: State Key Laboratory of Ocean Engineering, Shanghai Jiao Tong University, Shanghai, China – sequence: 3 givenname: Hongyang orcidid: 0000-0003-4302-5323 surname: Dong fullname: Dong, Hongyang email: hongyang.dong@warwick.ac.uk organization: Intelligent Control & Smart Energy (ICSE) Research Group, School of Engineering, University of Warwick, Coventry, UK – sequence: 4 givenname: Xiaowei surname: Zhao fullname: Zhao, Xiaowei email: xiaowei.zhao@warwick.ac.uk organization: Intelligent Control & Smart Energy (ICSE) Research Group, School of Engineering, University of Warwick, Coventry, UK – sequence: 5 givenname: Feargal surname: Brennan fullname: Brennan, Feargal email: feargal.brennan@strath.ac.uk organization: Offshore Engineering Institute, University of Strathclyde, Glasgow, UK – sequence: 6 givenname: Yibo surname: Liang fullname: Liang, Yibo email: yibo.liang@strath.ac.uk organization: Offshore Engineering Institute, University of Strathclyde, Glasgow, UK |
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| Keywords | Multi-component floating structure Hydrodynamics Vibration suppression Tuned mass damper Bayesian ascent |
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| Title | Vibration suppression of multi-component floating structures via passive TMDs and Bayesian ascent |
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