中国舰船研究2018，Vol.13Issue(1)：31-37,7.DOI:10.3969/j.issn.1673-3185.2018.01.005
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
易少强 1何世平 1王杰1
作者信息
- 1. 海军工程大学动力工程学院,湖北武汉430033
- 折叠
摘要
Abstract
[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Key words
constrained stand-off layer damping structure/particle swarm optimization/optimal design分类
交通工程引用本文复制引用
易少强,何世平,王杰..粒子群算法在约束型垫高阻尼结构动力学优化中的应用[J].中国舰船研究,2018,13(1):31-37,7.
