华南理工大学学报(自然科学版) ›› 2011, Vol. 39 ›› Issue (9): 41-47,53.doi: 10.3969/j.issn.1000-565X.2011.09.008

• 土木建筑工程 • 上一篇    下一篇

基于多参考点稳定图的斜拉桥模态参数识别

叶锡钧1  颜全胜1,2  王卫锋1 李健3   

  1. 1.华南理工大学 土木与交通学院,广东 广州 510640; 2.华南理工大学 亚热带建筑科学国家重点实验室,广东 广州 510640;3.伊利诺伊大学厄西纳-香槟分校 环境工程学院,美国 香槟 61801
  • 收稿日期:2011-03-28 修回日期:2011-06-24 出版日期:2011-09-25 发布日期:2011-08-02
  • 通信作者: 叶锡钧(1984-) ,男,博士生,主要从事结构健康监测研究. E-mail:xijunye.scut@gmail.com
  • 作者简介:叶锡钧(1984-) ,男,博士生,主要从事结构健康监测研究.
  • 基金资助:

    广东省交通运输厅科技项目( 2010-02-015)

Modal Parameter Identification of Cable-Stayed Bridge Based on Multiple Reference DOFs Stabilization Diagram

Ye Xi-junYan Quan-sheng1,2  Wang Wei-fengLi Jian3   

  1. 1. School of Civil Engineering and Transportation,South China University of Technology,Guangzhou 510640,Guangdong,China; 2. State Key Laboratory of Subtropical Building Science,South China University of Technology,Guangzhou 510640,Guangdong,China; 3. College of Environmental Engineering,University of Illinois at Urbana-Champaign,Champaign 61801,USA
  • Received:2011-03-28 Revised:2011-06-24 Online:2011-09-25 Published:2011-08-02
  • Contact: 叶锡钧(1984-) ,男,博士生,主要从事结构健康监测研究. E-mail:xijunye.scut@gmail.com
  • About author:叶锡钧(1984-) ,男,博士生,主要从事结构健康监测研究.
  • Supported by:

    广东省交通运输厅科技项目( 2010-02-015)

摘要: 针对激励未知情况下,运行模态分析容易遗漏真实模态和产生虚假模态的问题,提出了基于特征系统实现算法的多参考点稳定图算法.该算法通过设置不同的参考点,利用自然激励技术结合特征系统实现算法识别模态参数,以阻尼比、基于输出矩阵的一致模态指标和模态置信度作为判别指标,确定可信度最高的模态参数.运用该算法和增强频域分解法对大跨度斜拉桥——崖门大桥的实测数据进行识别分析.结果表明,文中算法能准确地识别出低阶模态参数,能为有限元模型修正提供良好的基础.

关键词: 斜拉桥, 运行模态分析, 多参考点稳定图, 自然激励技术, 特征系统实现算法, 增强频域分解

Abstract:

As it is easy for the operational modal analysis with unkown excitation to miss true modes and produce spurious modes,an improved multiple reference degrees of freedom( DOFs) stabilization diagram algorithm is proposed based on eigensystem realization algorithm. In this algorithm,by setting different reference DOFs in each group of data,the modal parameters are identified by means of the natural excitation technique in junction with the eigensystem realization algorithm. Then,the most accurate modal parameters are determined with damping ratio,observability matrix-based consistent mode indicator and modal amplitude coherence as the identification indexes. Finally,the proposed algorithm and the enhanced frequency domain decomposition method are both evaluated by means of the modal identification of the measured data of a long-span cable-stayed bridge,the Yamen Bridge. The results show that the proposed algorithm is capable of accurately identifying the low modes,thus providing a good basis for finite element model updating.

Key words: cable-stayed bridge, operational modal analysis, multiple reference DOFs stabilization diagram, natural excitation technique, eigensystem realization algorithm, enhanced frequency domain decomposition

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