[1]茅建校,王浩,程怀宇,等.基于小波变换的台风激励下千米级斜拉桥模态参数识别[J].东南大学学报(自然科学版),2015,45(1):159-164.[doi:10.3969/j.issn.1001-0505.2015.01.028]
 Mao Jianxiao,Wang Hao,Cheng Huaiyu,et al.Modal parameter identification of kilometer cable-stayed bridge under typhoon excitation based on wavelet transform[J].Journal of Southeast University (Natural Science Edition),2015,45(1):159-164.[doi:10.3969/j.issn.1001-0505.2015.01.028]
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基于小波变换的台风激励下千米级斜拉桥模态参数识别()
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《东南大学学报(自然科学版)》[ISSN:1001-0505/CN:32-1178/N]

卷:
45
期数:
2015年第1期
页码:
159-164
栏目:
交通运输工程
出版日期:
2015-01-20

文章信息/Info

Title:
Modal parameter identification of kilometer cable-stayed bridge under typhoon excitation based on wavelet transform
作者:
茅建校王浩程怀宇李爱群
东南大学混凝土及预应力混凝土结构教育部重点实验室, 南京210096
Author(s):
Mao Jianxiao Wang Hao Cheng Huaiyu Li Aiqun
Key Laboratory of Concrete and Prestressed Concrete Structures of Ministry of Education, Southeast University, Nanjing 210096, China
关键词:
台风 苏通大桥 小波变换 频率 阻尼比 参数识别
Keywords:
typhoon Sutong Bridge wavelet transform frequency damping ratio parameter identification
分类号:
U448
DOI:
10.3969/j.issn.1001-0505.2015.01.028
摘要:
为了给大跨桥梁结构损伤识别和安全性评价提供现实依据,采用小波变换(WT)方法进行千米级斜拉桥的模态参数识别研究.以“海葵”台风激励下的苏通大桥为研究对象,基于结构健康监测系统(SHMS)采集的数据,采用WT方法共识别出包括频率和阻尼比在内的主梁前4阶竖弯模态参数、前2阶扭转模态参数和第1阶侧弯模态参数,并将结果与相关文献提供的模态参数进行对比;在此基础上研究了海葵台风期间该桥主梁模态参数的全过程变化情况.结果表明:基于WT的模态参数识别方法稳定可靠;随着时间的变化,主梁各阶模态频率均较稳定,而模态阻尼比的波动则较明显.
Abstract:
In order to provide realistic basis for structural damage identification and security evaluation of long span bridges, the modal parameter identification of a kilometer cable-stayed bridge was studied by using the wavelet transform(WT)method. The Sutong Bridge excited by the typhoon Haikui was taken as the research object. Based on the structural vibration responses recorded by the structural health monitoring system(SHMS)of this bridge, the first four vertical, the first two torsional and the first lateral modal parameters, including the frequency and the damping ratio of the girder, were identified by using the WT method. Then, these results were compared with those from some related references. On this basis, the whole process variation of the parameters of the girder during the typhoon Haikui was investigated. The results show that the modal parameter identification based on the WT method is stable and reliable. With the time passing by, the modal frequencies of the girder are stable while the modal ratios fluctuate obviously.

参考文献/References:

[1] Los Alamos National Laboratory. Damage identification and health monitoring of structural and mechanical systems from changes in their vibration characteristics: a literature review [R].Los Alamos,NM,USA:LANL,1996.
[2] 秦世强,蒲黔辉,施洲.环境激励下大型桥梁模态参数识别的一种方法[J].振动与冲击,2012,31(2):95-100.
  Qin Shiqiang,Pu Qianhui,Shi Zhou.A method of modal parameters identification using ambient vibration measurements for a large-scale bridge [J].Journal of Vibration and Shock,2012,31(2):95-100.(in Chinese)
[3] 辛峻峰, 王树青, 刘福顺. 数据驱动与协方差驱动随机子空间法差异化分析[J]. 振动与冲击, 2013, 32(9): 1-4,20.
  Xin Junfeng, Wang Shuqing, Liu Fushun. Performance comparison for data-driven and covariance-driven stochastic subspace identification method [J]. Journal of Vibration and Shock, 2013, 32(9): 1-4,20.(in Chinese)
[4] 邓先来. 环境激励下基于小波分析的结构模态参数识别研究[D]. 南京: 南京航天航空大学航空宇航学院, 2011.
[5] Lardies J, Gouttebroze S. Identification of modal parameters using the wavelet transform [J]. International Journal of Mechanical Sciences, 2002, 44(11): 2263-2283.
[6] Kijewski T, Kareem A. Wavelet transforms for system identification in civil engineering [J]. Computer-Aided Civil and Infrastructure Engineering, 2003, 18(5): 339-355.
[7] 伊廷华, 李宏男, 王国新. 基于小波变换的结构模态参数识别[J]. 振动工程学报, 2006, 19(1): 51-56.
  Yi Tinghua, Li Hongnan, Wang Guoxing. Structural modal parameter identification based on wavelet transform [J]. Journal of Vibration Engineering, 2006, 19(1): 51-56.(in Chinese)
[8] Sarparast H, Ashory M R, Hajiazizi M, et al. Estimation of modal parameters for structurally damped systems using wavelet transform [J]. European Journal of Mechanics—A/Solids, 2014, 47: 82-91.
[9] Yan B, Miyamoto A. A comparative study of modal parameter identification based on wavelet and Hilbert-Huang transforms [J]. Computer-Aided Civil and Infrastructure Engineering, 2006, 21(1): 9-23.
[10] Lin J, Qu L S. Feature extraction based on Morlet wavelet and its application for mechanical fault diagnosis [J]. Journal of Sound and Vibration, 2000, 234(1): 135-148.
[11] 王浩, 李爱群, 谢静, 等. 台风作用下超大跨度斜拉桥抖振响应现场实测研究[J]. 土木工程学报, 2010, 43(7): 71-78.
  Wang Hao, Li Aiqun, Xie Jing, et al. Field measurement of the buffeting response of a super-long-span cable-stayed bridge under typhoon [J]. China Civil Engineering Journal, 2010, 43(7): 71-78.(in Chinese)
[12] 张喜刚, 陈艾荣. 苏通大桥设计与结构性能[M]. 北京: 人民交通出版社, 2010: 174-177.
[13] Li H, Li S N, Ou J P, et al. Modal identification of bridges under varying environmental conditions: temperature and wind effects [J]. Structural Control and Health Monitioring, 2010, 17(5): 495-512.
[14] Kijewski T.Full-scale measurements and system identification:a time-frequency perspective [D].South Bend,Indiana,USA:University of Notre Dame,2003.

相似文献/References:

[1]王浩,邹仲钦,陶天友,等.苏通大桥实测典型台风特性对比分析[J].东南大学学报(自然科学版),2018,48(2):342.[doi:10.3969/j.issn.1001-0505.2018.02.024]
 Wang Hao,Zou Zhongqin,Tao Tianyou,et al.Comparative analysis on measured wind characteristics of typical typhoons at Sutong bridge[J].Journal of Southeast University (Natural Science Edition),2018,48(1):342.[doi:10.3969/j.issn.1001-0505.2018.02.024]

备注/Memo

备注/Memo:
收稿日期: 2014-08-29.
作者简介: 茅建校(1990—),男,硕士生;王浩(联系人),男,博士,副研究员,博士生导师,wanghao1980@seu.edu.cn.
基金项目: 国家重点基础研究发展计划(973计划)资助项目(2015CB060000)、国家自然科学基金资助项目(51378111)、霍英东教育基金会高等院校青年教师基金资助项目(142007)、教育部新世纪优秀人才支持计划资助项目(NCET-13-0128)、华南理工大学亚热带建筑科学国家重点实验室开放基金资助项目(2014KA04).
引用本文: 茅建校,王浩,程怀宇,等:基于小波变换的台风激励下千米级斜拉桥模态参数识别[J].东南大学学报:自然科学版,2015,45(1):159-164. [doi:10.3969/j.issn.1001-0505.2015.01.028]
更新日期/Last Update: 2015-01-20