Research on Bulbous Bow Optimization Based on the Improved PSO Algorithm

查看全文 作　　者：ZHANG Sheng-[1]long;ZHANG Bao-[2]ji;Tahsin [3]TEZDOGAN;XU Le-[1]ping;LAI Yu-[4]yang

机构地区：[1]Merchant Marine College, Shanghai Maritime University, Shanghai 201306, China;[2]College of Ocean Environment and Engineering, Shanghai Maritime University, Shanghai 201306, China;[3]Department of Naval Architecture & Ocean and Marine Engineering, University of Strathclyde, Glasgow G4 0LZ, UK;[4]Beijing Soyotec Co., Ltd., Beijing 100062, China

出　　处：《China Ocean Engineering》索引2017年第31卷第4期,共8页

基　　金：financially supported by the National Natural Science Foundation of China(Grant No.51009087);the National Science Foundation of Shanghai(Grant No.14ZR1419500) 摘　　要：In order to reduce the total resistance of a hull, an optimization framework for the bulbous bow optimization was presented. The total resistance in calm water was selected as the objective function, and the overset mesh technique was used for mesh generation. RANS method was used to calculate the total resistance of the hull. In order to improve the efficiency and smoothness of the geometric reconstruction, the arbitrary shape deformation(ASD)technique was introduced to change the shape of the bulbous bow. To improve the global search ability of the particle swarm optimization(PSO) algorithm, an improved particle swarm optimization(IPSO) algorithm was proposed to set up the optimization model. After a series of optimization analyses, the optimal hull form was found.It can be concluded that the simulation based design framework built in this paper is a promising method for bulbous bow optimization. 关键词：改进粒子群算法粒子群优化球鼻艏全局搜索能力优化设计方法任意形状设计框架总阻力

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Research on Bulbous Bow Optimization Based on the Improved PSO Algorithm

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