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- W4289516233 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." @default.
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- W4289516233 date "2022-09-01" @default.
- W4289516233 modified "2023-10-05" @default.
- W4289516233 title "Vibration suppression of multi-component floating structures via passive TMDs and Bayesian ascent" @default.
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- W4289516233 doi "https://doi.org/10.1016/j.oceaneng.2022.112088" @default.
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