粒子群算法在约束型垫高阻尼结构动力学优化中的应用  

Application of particle swarm optimization in dynamic optimization of constrained stand-off layer damping structure

作　　者：易少强 何世平[1] 王杰[1] 

机构地区：[1]海军工程大学动力工程学院,湖北武汉430033

出　　处：《中国舰船研究》2018年第1期31-37,共7页Chinese Journal of Ship Research

摘　　要：[目的]为了进一步提高传统约束型阻尼结构的振动特性,对改进后的约束型垫高阻尼结构进行优化设计。[方法]首先,根据薄板弯曲理论和Hamilton变分原理探讨约束型垫高阻尼结构的动力学特性;其次,阐述粒子群算法迭代寻优的基本原理,提出优化含连续变量和离散变量的粒子群算法;最后,结合约束型垫高阻尼结构的动力学特性,运用改进的粒子群算法实现结构的优化配置。[结果]当算法搜索寻优到第12代时结果趋于稳定,表明算法已收敛。[结论]研究表明,粒子群算法能较好地求解约束型垫高阻尼结构动力学优化问题,且获得的最优化解可被应用于工程实际。[Objectives]In order to further improve the vibration characteristics of traditional constrained damping structures,the optimized design of an improved constrained stand-off layer damping structure with engineering application value is carried out.[Methods]First,based on the thin plate bending theory and Hamilton variation principle,the dynamic characteristics of constrained stand-off layer damping structures are investigated;second,the basic principle of the iterative optimization of particle swarm optimization is expounded upon,and a particle swarm optimization algorithm with continuous variables and discrete variables proposed; finally, combined with the dynamic characteristics of constrained stand-off layer damping structures,the improved particle swarm optimization is used to realize the optimal allocation of the structure.[Results]When the search algorithm is optimized to the 12th generation,the algorithm tends to be stable,indicating that it is convergent.[Conclusions]The optimization results show that the particle swarm optimization can better solve the dynamic optimization problem of constrained stand-off layer damping structures,and obtain an optimal solution that can be applied in practical engineering.

关 键 词：约束型垫高阻尼结构 粒子群算法 优化设计 

分 类 号：U661.4[交通运输工程—船舶及航道工程] TB53[交通运输工程—船舶与海洋工程]