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

重庆交通大学学报(自然科学版) ›› 2020, Vol. 39 ›› Issue (01): 45-50.DOI: 10.3969/j.issn.1674-0696.2020.01.08

• 桥梁与隧道工程 • 上一篇    下一篇

基于改进SSI的大跨斜拉桥模态参数识别研究

文鹏,陈桥枫,杨风帆   

  1. (西南交通大学 土木工程学院,四川 成都,610031)
  • 收稿日期:2018-09-11 修回日期:2019-03-12 出版日期:2020-01-12 发布日期:2020-01-12
  • 作者简介:文鹏(1979—),男,四川射洪人,博士研究生,主要从事防灾减灾及结构健康监测方面的研究。E-mail:3562803194@qq.com。
  • 基金资助:
    国家自然科学基金项目(11627802、51478071)

Modal Parameter Identification for Large Span Cable-Stayed Bridge Based on Improved Stochastic Subspace Identification

WEN Peng, CHEN Qiaofeng, YANG Fengfan   

  1. (School of Civil Engineering, Southwest Jiaotong University, Chengdu 610031, Sichuan, China)
  • Received:2018-09-11 Revised:2019-03-12 Online:2020-01-12 Published:2020-01-12

摘要: 实际工程中,为时刻检测桥梁结构是否处于良好的运营状态,通常会在桥梁结构上安装各种类型传感器,通过分析传感器采集的响应信号以获得其模态参数,并利用模态参数变化规律来间接评估其运营状态。基于此,为提高模态参数识别精确性,针对最为常用的模态参数识别算法-随机子空间算法(SSI)不足,提出了以频率值、阻尼比以及模态振型为判别因子的真实模态筛选算法。最后将所提算法运用于识别某大型斜拉桥的模态参数识别,识别结果表明:本算法不仅能有效实现真实模态的智能化筛选,且识别结果具有可靠性。

关键词: 桥梁工程, 响应信号, 随机子空间算法, 真实模态, 模态参数识别

Abstract: In practical engineering, in order to detect whether the bridge structure was in good operation state at any time, various types of sensors were usually installed on the bridge structure. The modal parameters were obtained by analyzing the response signals collected by the sensors, and the change law of modal parameters was analyzed to indirectly evaluate the operation state. Based on this, in order to improve the accuracy of modal parameter identification, aiming at the deficiency of the most commonly used modal parameter identification algorithm, stochastic subspace algorithm (SSI), a real modal selection algorithm was proposed, which took the frequency value, damping ratio and modal shape as the discriminant factors. Finally, the proposed algorithm was applied to identify the modal parameters for a large cable-stayed bridge. The recognition results show that the proposed algorithm can not only effectively realize the intelligent filtering of real modes, but also the recognition results are reliable.

Key words: bridge engineering, response signal, stochastic subspace identification, real modal, modal parameter identification

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