为减轻船舶结构重量,提高船舶的承载能力,造船企业逐渐考虑采用复合材料结构替代常规的钢制舱壁结构。为保证舱壁结构设计参数的合理性,本文提出了一种将响应面模型与遗传算法相结合的优化设计方法。采用Box-Behnken设计方法,在设计空间中抽取样本点并进行模拟,建立舱壁最大变形、最大Mises应力及质量的响应面模型。利用遗传算法对响应面模型进行优化,得到Pareto 最优解。仿真实验表明：与原先的钢制舱壁方案,优化后的质量减轻了约23%,最大变形基本与钢制舱壁方案一致。研究结果表明本文提出的方案适用于工程结构多参数优化设计。

An optimal design method combining Response Surface Model with Genetic Algorithm was proposed in the present research to ensure reliable structural parameters of bulkhead. The Box-Behnken design method was selected to determine the location of sampling points for generating the response surface, then the total mass property and maximum displacement was established in terms of the input parameters. Then the Pareto optimal solutions are obtained by using Multi-Objective Genetic Algorithm to optimize the Response Surface Model. The numerical simulation results show that the optimized total mass of the composite bulkhead is reduced by 23% compared with that of the steel bulkhead, while the maximum displacement is basically consistent with the steel bulkhead structure. Therefore, the present research provides useful insight to the structural optimization of composite bulkhead structure in engineering application.

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