基于提高舰船不沉性的分舱优化

Optimization of Subdivision Based on the Ship's Insinkability

从舰船的水密分舱(主船体分舱)方面考虑来提高舰船的不沉性。提出了'平均初稳性高'和'平均最小干舷'的概念,并建立其数学模型。然后以两者为目标函数,以设置的水密舱壁位置为设计变量进行遗传算法优化。优化过程中,利用线性加权和法将多目标问题转化为单目标问题,并结合与舰船不沉性相关的实际问题对遗传算法进行改进。最后,以某一舰船为例进行优化试验,计算结果表明,文中方法是可行的、有效的,可应用于主船体分舱等船舶工程领域。

The ship’s insinkability is improved by means of optimization of watertight subdivision. The concepts of the average height of initial stability and average minimum freeboard are presented. They are regarded as objective functions, where design variables are the positions of watertight bulkheads, and then optimized with the genetic algorithm. The linear weighted sum method is applied to transform multi-objective optimization into single-objective optimization. Genetic algorithm is improved in solving practical insinkability problems＆amp;nbsp;of a ship. Taking a certain warship as an example, optimal computation is carried out. The simulation results demonstrate that the method used in this paper is feasible and effective.