基于遗传算法的船舶螺旋桨优化设计

Marine Propeller Design Optimization Based on Genetic Algorithm

船舶螺旋桨的设计主要分为理论法与图谱法,目前,图谱法设计已有成熟的计算程序与之匹配,采用遗传算法搜索进行船舶螺旋桨优化设计是一条新的思路。采用Wageningen B图谱的回归多项式,利用遗传算法的高效、并行、基于适应度函数的搜索法,进行螺旋桨优化设计,将螺旋桨直径、螺距比和盘面比作为设计变量,空泡性能作为约束条件,在保证目标转速的前提下优化船舶航速。经优化设计实例计算表明,遗传算法适用于船舶螺旋桨的优化设计。

The major design methods for marine propellers include the theoretical method and the chart method. Currently, there are matured computational programs based on the chart design method, and marine propeller design optimization through the genetic algorithm is a new idea. Propeller design optimization is performed using the Wageningen B chart regression polynomial, taking advantage of the high efficiency, parallel, fitness function based searching method of the genetic algorithm; the ship speed is optimized on the premise of gnaranteed target rotation speed, with the propeller diameter, pitch ratio and area ration as the design variables, and the cavitations performance as the constraint. A sample design optimization result shows that the genetic algorithm is suitable for the design optimization of marine propellers.