Research on bulbous bow optimization based on the improved PSO algorithm
Research on bulbous bow optimization based on the improved PSO algorithm
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DOI：
10.1007/s13344-017-0055-9
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发表时间：
2017-08-01
影响因子：
1.6
通讯作者：
Lai Yu-yang
中科院分区：
文献类型：
--
作者：
Zhang Sheng-long;Zhang Bao-ji;Lai Yu-yang
为了降低船体的总阻力，提出了球鼻艏结构的优化框架。以静水总阻力为目标函数，采用重叠网格技术进行网格划分。采用RANS方法计算了船体的总阻力。为了提高几何重构的效率和光滑性，引入任意形状变形技术对球鼻艏进行形状变换。为提高粒子群优化算法的全局搜索能力，提出了一种改进的粒子群优化算法（IPSO）来建立优化模型。通过一系列的优化分析，得到了最优的船体形状，表明本文所建立的基于仿真的球首优化设计框架是一种很有前途的方法。
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.