ABSTRACT

In this study, the genetic algorithm (GA) was implemented for the multi-objective optimization of the structural design of a pressure hull. The objective functions sought the maximum ultimate strength of the ring-stiffened cylindrical shell structure with minimum structural weight and maximum volume of the configured structural member. First, the evaluation models of several design variables of submarine structures were studied. Subsequently, a multi-objective GA algorithm was introduced. To improve the quality of the new population, several design constraints are applied. The final candidate structures were recomputed by non-linear finite element analysis (FEA) to observe the failure modes and compared with the initial design model. The results suggest that a lightweight construction would be achieved when a material with higher strength is used, especially for greater design depths

摘要

在这项研究中，遗传算法 (GA) 被用于压力船体结构设计的多目标优化。目标函数寻求具有最小结构重量和最大结构构件体积的环加筋圆柱壳结构的最大极限强度。首先，研究了海底结构几个设计变量的评价模型。随后，引入了多目标遗传算法。为了提高新人口的质量，应用了几个设计约束。最终的候选结构通过非线性有限元分析 (FEA) 重新计算，以观察失效模式并与初始设计模型进行比较。结果表明，当使用强度更高的材料时，可以实现轻质结构，