基于遗传算法与NM理论的船型优化

Ship hull optimization design based on genetic algorithm and Neumann-Michell theory

阻力性能的优化一直是船舶设计工作的重要环节,它将直接决定船舶的经济性和适用性。该文利用基于Neumann-Michell(NM)势流理论自主开发的船舶兴波阻力计算求解器NMShip-SJTU和遗传算法(genetic algorithm,GA),对标准船型Series 60进行船型优化分析。利用平移法(Shifting Method)与径向基函数法(radial basis function method,RBF)修改船体曲面,开发了一套包含优化算法、船型变换模块在内的全自动船型优化程序(OPTShip-SJTU),并应用。高航速(Fr=0.30)下的Series 60船型的优化,得到能使兴波阻力有效减小的优化船型。

The optimization of resistance performance has always been an important part of ship conceptual design, for its direct demonstration to economy and usability of the ship. The paper is based on NMShip-SJTU solver developed by using Neumann-Michell（NM） potential theory and genetic algorithm（GA）. The standard ship Series 60 is taken as an instance. By using the Shifting Method and Radial Basis Function Method to modify the hull surface, OPTShip-SJTU solver is developed for ship hull form optimization and applied for the Series 60 ship form optimization at the high speed（Fr =0.30）.