Vibration suppression of multi-component floating structures via passive TMDs and Bayesian ascent. (1st September 2022)

• Record Type: Journal Article
• Authors: Zhang, Xiantao; Lu, Da; Dong, Hongyang; Zhao, Xiaowei; Brennan, Feargal; Liang, Yibo
• Is Part Of: Ocean engineering. Volume 259(2022)
• Publication Date: 2022-09-01
• Subjects: Multi-component floating structure -- Hydrodynamics -- Vibration suppression -- Tuned mass damper -- Bayesian ascent; Ocean engineering -- Periodicals; Ocean engineering; Periodicals; 620.4162
• DOI: 10.1016/j.oceaneng.2022.112088
• Languages: English
• ISSNs: 0029-8018

Abstract

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. Highlights: 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.