基于移动传感的桥梁自动模态参数识别

摘要
图/表
参考文献(19)
相关文章 (15)

全文: PDF (4191 KB) HTML (1 KB)
输出: BibTeX | EndNote (RIS)

摘要本文提出一种基于移动传感的桥梁自动模态参数识别方法。移动传感单元包括一个动力车和一个刚性小拖车，动力车搭载了数据采集和传输设备以及北斗授时模块，刚性拖车搭载加速度拾振器，动力车与拖车的连接具有良好的隔振效果，有效获取桥梁结构本身不同位置的振动信号。模态实验时，移动传感单元依次自动获取不同测点的结构振动信息，通过北斗授时模块实现与固定参考单元获取的振动信息相位时间同步。基于随机子空间的自动模态参数识别方法可以快速从固定参考单元与移动传感单元获取的振动信息中提取结构模态信息。该方法可以获取较高的空间分辨率结构振动信息，进而获取准确的结构振型信息。将移动传感应用于一座下承式系杆拱桥，取得了优良的模态识别效果。

	服务

	把本文推荐给朋友
	加入我的书架
	加入引用管理器
	E-mail Alert
	RSS
	作者相关文章
	胡卫华
	袁小杰
	唐德徽
	徐增茂
	卢伟
	滕军

关键词 ：桥梁结构, 移动传感, 相位同步, 自动模态参数识别

Abstract：This paper proposes an automated modal parameter identification method of bridge based on mobile sensing. The mobile sensing unit consists of a power vehicle and a rigid trailer. The power vehicle is equipped with a data acquisition and transmission module and “Beidou” timing module. The rigid trailer is equipped with an accelerometer. The connection between the power vehicle and the trailer is designed so that the vibration signal of the bridge can be effectively acquired. In the modal experiment, the mobile sensing unit automatically records the structural vibration in different measuring points. The phase time synchronization between the mobile measuring unit and the fixed reference unit is realized by the “Beidou” timing module. The bridge modal parameters can be extracted efficiently by the automated stochastic subspace identification algorithm from the vibration information obtained from the fixed measuring unit and the mobile sensing unit. High spatial resolution can be obtained based on mobile sensing system, and then accurate structural mode shape information can be identified. The mobile sensing system is applied to the modal tests of a through tied arch bridge and the modal parameters are identified efficiently.

Key words： Bridge Mobile sensing Phase synchronization Automated modal parameter identification

收稿日期: 2021-12-30 出版日期: 2023-04-15

引用本文:

胡卫华，袁小杰，唐德徽，徐增茂，卢伟，滕军. 基于移动传感的桥梁自动模态参数识别[J]. 振动与冲击, 2023, 42(7): 262-266.
HU Weihua, YUAN Xiaojie, TANG Dehui, XU Zengmao, LU Wei, TENG Jun. Automatic modal parametric identification of bridge based on mobile sensing. JOURNAL OF VIBRATION AND SHOCK, 2023, 42(7): 262-266.

链接本文:

http://jvs.sjtu.edu.cn/CN/ 或 http://jvs.sjtu.edu.cn/CN/Y2023/V42/I7/262

[1] 侯立群, 赵雪峰, 欧进萍, 等. 结构损伤诊断不确定性方法研究进展[J]. 振动与冲击, 2014, 33(18)：50-58.
HOU Li-qun, ZHAO Xue-feng, OU Jin-ping, et al. Research progress of uncertainty methods for structural damage diagnosis [J]. Journal of vibration and shock, 2014, 33(18)：50-58.
[2] 宗周红, 钟儒勉, 郑沛娟, 等. 基于健康监测的桥梁结构损伤预后和安全预后研究进展及挑战[J]. 中国公路学报, 2014, 27(12)：46-57.
ZONG Zhou-hong, ZHONG Ru-mian, ZHENG Pei-juan, et al. Research progress and challenges of bridge structural damage prognosis and safety prognosis based on health monitoring [J]. China Journal of Highway and Transport, 2014, 27(12) : 46-57.
[3] Malekjafarian A, McGetrick P J, OBrien E J. A Review of indirect bridge monitoring using passing vehicles[J], Shock Vib. 2015: 286139.
[4] LI W M, JIANG Z H, WANG T L, et al. Optimization method based on generalized pattern search algorithm to identify bridge parameters indirectly by a passing vehicle[J]. Journal of Sound and Vibration, 2014, 333(2): 364-380.
[5] Malekjafarian A, Obrien E J. On the use of a passing vehicle for the estimation of bridge mode shapes[J]. Journal of Sound and Vibration, 2017, 397(Complete): 77-91.
[6] YANG Y B, LI Y C, CHANG K C. Constructing the mode shapes of a bridge from a passing vehicle: a theoretical study[J]. smart structures and systems, 2014, 13(5): 797-819.
[7] LIN C W, YANG Y B. Use of a passing vehicle to scan the fundamental bridge frequencies: an experimental verification[J]. engineering structures, 2005, 27(13): 1865-1878.
[8] YANG Y B, CHANG K C. Extraction of bridge frequencies from the dynamic response of a passing vehicle enhanced by the emd technique[J]. Journal of Sound and Vibration, 2009, 322(4-5): 718-739.
[9] YANG Y B, ZHANG B, QIAN Y, et al. Contact-Point response for modal identification of bridges by a moving test vehicle[J]. International Journal of Structural Stability and Dynamics, 2017: 1850073.
[10] YANG Y B, ZHANG B, QIAN Y, et al. Further revelation on damage detection by ias computed from the contact-point response of a moving vehicle[J]. International Journal of Structural Stability and Dynamics, 2018, 18(11).
[11] Tan C, Elhattab A, Uddin N. “Drive-by’’ bridge frequency-based monitoring utilizing wavelet transform[J]. Journal of Civil Structural Health Monitoring, 2017,7(5): 615-625.
[12] Yang J P, Lee W C. Damping effect of a passing vehicle for indirectly measuring bridge frequencies by emd technique[J]. International Journal of Structural Stability and Dynamics, 2017, 18(1)
[13] Qi Z Q, Au F T K. Identifying mode shapes of girder bridges using dynamic responses extracted from a moving vehicle under impact excitation[J]. International Journal of Structural Stability and Dynamics, 2016: 1750081.
[14] Zhang Y, Wang L, Xiang Z. Damage detection by mode shape squares extracted from a passing vehicle[J]. Journal of Sound and Vibration, 2012, 331(2): 291-307.
[15] Hester D, González, Arturo. A discussion on the merits and limitations of using drive-by monitoring to detect localised damage in a bridge[J]. Mechanical Systems and Signal Processing, 2017, 90: 234-253.
[16] 胡卫华滕军卞晓晗. 分布式振动同步连续监测系统: CN 108847921 A［P］.2018-11-20.
Hu Weihua, Teng Jun, Bian Xiaohan. Distributed vibration synchronous continuous monitoring system: CN 108847921 A［P］.2018-11-20.
[17] Hu W H, Xu Z M, Bian X H et al. Operational Modal Analysis and Continuous Dynamic Monitoring of high-rise building based on Wireless Distributed Synchronized Data Acquisition System, submitted to Structural Control & Health Monitoring, under revision.
[18] Peeters, B. System identification and damage detection in civil engineering. [D]. Belgium Katholieke Unversiteit Leuven, Department of Civil Engineering. 2000.
[19] Teng J , Tang D H , X Zhang, et al. Automated Modal Analysis for Tracking Structural Change during Construction and Operation Phases[J]. Sensors, 2019, 19(4). 927.