Yacht structure optimization is an important pattern to achieve yacht safety and lightweight design. Based on Isight platform, this paper establishes the yacht structure optimization platform with the total longitudinal strength and weight of the yacht as the optimization targets. Firstly, parametric modeling was carried out for the hull. Then, the longitudinal plate thickness and aggregate size of the target cabin were taken as design variables, and the multi-objective optimization algorithm NSGA-II was used for structural optimization on the optimization platform. After optimization, the weight of the 212-foot cabin is reduced by 4.96%, the maximum stress of the midship section is reduced by 12.31%. The longitudinal strength of the ship is improved by using less material, and the lightweight structure is realized.


In the process of yacht structure design, designers mainly design the structure form and layout of the yacht according to the specification requirements. The structural performance of yacht determines the reliability and safety of yacht. The structural optimization can reduce the weight and construction cost of yacht without affecting the longitudinal strength of yacht. In addition, the use of less steel can improve the structural performance of the hull is also a reflection of the improved level of structural design (Shao, 2007).

Many scholars have carried out research and exploration in the optimization of ship structure, and introduced intelligent optimization algorithms represented by genetic algorithm, simulated annealing algorithm, ant colony algorithm and particle swarm optimization algorithm into the field of structural optimization. (He Xiaoer et al. 2013) introduced PSO into the optimization of complex ship structure, realized the optimization of complex ship structure by PSO, and compared with the results obtained by genetic algorithm, verified the effectiveness of PSO in the optimization of complex ship structure. The application of proxy model instead of time-consuming finite element calculation reduces the time needed for optimization, but the validity of its results still needs to be verified by finite element.

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