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Ship base vibration reduction design technology based on visualization of power flow and discrete optimization

The ship base is a structure that connects the equipment to the hull and may play a role in restraining and isolating the dynamic load. Adding damping on the base to improve the vibration isolation performance is an important measure to control ship vibration. In this research, the energy transfer r...

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Bibliographic Details
Published in:Ocean engineering 2024-10, Vol.309, p.118494, Article 118494
Main Authors: Wu, Yiwan, Dai, Qihang, Liu, Hongfei, Tang, Yu, Chen, Xiaochao
Format: Article
Language:English
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Summary:The ship base is a structure that connects the equipment to the hull and may play a role in restraining and isolating the dynamic load. Adding damping on the base to improve the vibration isolation performance is an important measure to control ship vibration. In this research, the energy transfer route and vector cloud of the ship base were analyzed employing the power flow theory, and then the placement of the particle damper was determined. Through the discrete optimization of different particle parameters including the particle material, diameter and filling rate, the best vibration reduction effect was acquired. The simulation and experiment results show that the particle damping has obvious damping effect, and the steel particle has better damping effect than the lead particle and the aluminum particle. The change of particle filling rate influences the vibration characteristics, and the best effect is achieved when the filling rate is 82%. The vibration reduction performance relies strongly on particle diameters, and they all exert obvious vibration suppression effect at the peak acceleration admittance. The proposed discrete optimization strategy effectively saves experiment cost, and the presented particle damper may be traded as an optional scheme in vibration reduce treatment of ship base. •The visualized power flow analysis method is used to determine the area of damping treatment.•A discrete optimization method is proposed to optimize the matching of particle damping parameters (Fe, 4mm, 82%).
ISSN:0029-8018
1873-5258
DOI:10.1016/j.oceaneng.2024.118494