摘要
水翼是船舶设计和各种水中运动装置设计的重要组成部分,在船舶海洋工程领域的应用十分广泛.采用粒子群优化算法(PSO)对三维水翼翼型进行了以提高升阻比为目标的优化设计.翼型由解析函数线性叠加法表示,目标函数和粒子的适应度由基于面元法的流场数值解来提供.整个优化计算过程较传统的优化方法原理简单,计算量小,优化后的水翼型能较原翼型的水动力性能有明显改善.优化结果验证了粒子群优化算法结合面元法在水翼剖面优化设计中的可行性,对今后水翼剖面优化设计有一定借鉴意义。
Hydrofoil is the important part of ship design and diverse motion equipment.This paper demonstrates the optimization design of hydrofoil section on lift-to-drag ratio with particle swarm optimization(PSO).Geometric shape of hydrofoil section is represented by linear combination of analytical functions.Objective function and fitness of every individual are provided by flow solver of three-dimensional panel method.The optimization process is simpler in theory and costs less computing time than the traditional...
出处
《船舶工程》
CSCD
北大核心
2010年第5期1-3,26,共4页
Ship Engineering
基金
国家自然科学基金资助项目(10702016)
多体船技术国防重点学科实验室基金资助(002010260737)
关键词
水翼剖面
粒子群优化算法
面元法
优化设计
hydrofoil section
particle swarm optimization
panel method
optimization design
