Static and dynamic collaborative optimization of ship hull structure

The goal of this effort was to provide a static and dynamic collaborative optimization (CO) model for the design of ship hull structure. The CO model integrated with static, mode and dynamic analyses. In the system-level optimization model, a new objective function was advised, integrating all the subsystem-levels’ objective functions, so as to eliminate the effects of dimensions and magnitude order. The proposed CO architecture enabled multi-objectives of the system and subsystem-level to be considered at both levels during optimization. A bi-level optimization strategy was advised, using the multi-island genetic algorithm. The proposed model was demonstrated with a deck optimization problem of container ship stern. The analysis progress and results of example show that the CO strategy is not only feasible and reliable, but also well suited for use in actual optimization problems of ship design.摘 要论文集成静态、 模态和动力响应分析, 建立了船体结构静、 动态协同优化模型. 在系统级优化模型中, 以单学科最优解和多学科最优解之间的差异最小化为目标. 该目标函数不仅消除了多个目标之间的量纲和数量级差异的影响, 而且扩展了协同优化算法的应用范围, 由原来的单目标优化扩展到了多目标优化. 并与子系统级优化模型构成二级协同优化算法架构。 采用多岛遗传算法进行优化求解. 对集装箱船艉主甲板进行了静、 动态优化设计, 分析表明本文所采用的优化算法能应用于工程实际.