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 numerical model developed incorporating both the dynamics of hinged foundation passive TMDs. A data-driven parameter optimization method search optimal TMD parameters. built upon Bayesian Ascent (BA) – an advanced sequential searching strategy optimizing black-box functions, combining merits Optimization gradient-free trust-region algorithm. Simulation results different wave conditions verify effectiveness BA-based selection method, showing that resulting TMDs can significantly reduce whole structure. • novel designed suppression. with modules modeled analyzed. The parameters are optimized by Bayesian-based method. proposed vibrations subject conditions.