摘要
讨论了粒子群算法(PSO)的应用,并基于PSO算法结合重庆干溪沟1号特大斜拉桥的带减振器的斜拉索做参数识别。研究表明:若拉索多阶振动频率能够被获得,则通过PSO算法得到的T,EI,K,εL等拉索参数是可靠的。
The application of particle swarm optimization algorithm(PSO) is discussed,and the parameter identification of Chongqing Ganxigou No.1 cable-stayed bridge with the shock absorber of cables is carried out,which is based on the PSO algorithm.As was discovered by this research,once the frequency of multiple-order vibration is known,cable indexes calculated by PSO algorithm such as T,EI,K and εL are reliable.
出处
《重庆交通大学学报（自然科学版）》
CAS
北大核心
2012年第2期195-198,共4页
Journal of Chongqing Jiaotong University(Natural Science)
基金
交通运输部西部交通建设科技项目(200831895076)
重庆市重大科技攻关项目(CSTC
2008BA6038)
关键词
PSO算法
减振器
参数识别
斜拉桥
particle swarm optimization algorithm
attached damper
parametric identification
cable-stayed bridge
