基于组合算法的VLCC货舱区综合分舱优化

Integrated Subdivision Optimization of VLCC Cargo Area Based on Combined Algorithm

以VLCC为研究对象,提出一种利用货舱区结构和货油总质量分布曲线综合考虑横舱壁位置、内壳形状和布置型式的货舱区的分舱优化方法。在船舶主尺度确定的情况下,选取横舱壁移动距离和货油质量分布曲线控制点坐标为设计变量,以计算工况中的最大静水弯矩值最小为目标,建立优化数学模型。使用遗传算法与模矢搜索法相结合的组合算法对目标函数进行优化。以某30万吨VLCC实船为例,分析该船在6对压载舱型式和中压载舱型式下对应的最大静水弯矩。结果表明,该方法能有效降低静水弯矩,可为设计人员快速、合理地改进原分舱方案提供借鉴。

In this paper,the VLCC is taken as the research object,and an optimization method of cargo compartment division is proposed,which considers the location of the transverse bulkhead,the shape,and layout of the inner shell,by using the structure of the cargo area and the distribution curve of the total weight of cargo oil.When the main dimensions of the ship are determined,the moving distance of the transverse bulkhead and the coordinates of the control points of the cargo oil weight distribution curve are chosen as the design variables,and the objective is to minimize the maximum hydrostatic bending moment in the calculation conditions.Based on MATLAB software,the combination of the genetic algorithm and modular vector search method is used to optimize the objective function.Taking a 300000 dwt VLCC as an example,the maximum still water bending moment of the ship under six pairs of ballast tanks and ballast tanks is discussed.The results show that this method can effectively reduce the still water bending moment,and guide the designers to improve the original subdivision scheme quickly and reasonably.