中文核心期刊
CSCD来源期刊
中国科技核心期刊
RCCSE中国核心学术期刊

Journal of Chongqing Jiaotong University(Natural Science) ›› 2012, Vol. 31 ›› Issue (2): 195-198.DOI: 10.3969 /j.issn.1674-0696.2012.02.06

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Cable Parameter Identification with Absorber Based on PSO Algorithm

Zhang Liwen1,He Hua2,Chen Qingzhi2,Zhou Jianting1,Ning Jincheng3   

  1. 1. Chongqing Jiaotong University,Chongqing 400074,China; 2. Guangxi Jitai Investment Co. ,Ltd. ,Nanning 530001,Guangxi,China; 3. Henan Vocational & Technical College,Zhengzhou 450005,Henan,China
  • Received:2011-07-12 Revised:2011-08-30 Online:2012-04-15 Published:2014-10-31

基于PSO 算法的带减振器斜拉索参数的识别

张力文1,何华2,陈庆志2,周建庭1,宁金成3   

  1. 1. 重庆交通大学,重庆400074; 2. 广西吉泰投资有限公司,广西南宁530001; 3. 河南交通职业技术学院,河南郑州450005
  • 作者简介:张力文( 1986 - ) ,男,重庆万州人,硕士研究生,主要从事桥梁监测、加固与维护技术研究。E-mail: zjieer200866@ qq. com。
  • 基金资助:
    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)

Abstract: 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.

Key words: particle swarm optimization algorithm, attached damper, parametric identification, cable-stayed bridge

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。

关键词: PSO 算法, 减振器, 参数识别, 斜拉桥

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