Research on Bridge Damage Detection Based on Operational Environment and Lifting Wavelet Transform

孙增寿; 张耀; 王希东

doi:10.13409/j.cnki.jdpme.2014.06.009

您当前的位置：

首页 >

文章列表页 >

Research on Bridge Damage Detection Based on Operational Environment and Lifting Wavelet Transform

更新时间：2025-12-11

- Research on Bridge Damage Detection Based on Operational Environment and Lifting Wavelet Transform
- Vol. 34, Issue 6, Pages: 718-724(2014)
- 作者机构：
- 作者简介：
- 基金信息：
- DOI：10.13409/j.cnki.jdpme.2014.06.009
  CLC： 446
- Published：2014
- 稿件说明：
移动端阅览
[1]孙增寿,张耀,王希东.基于运营环境和提升小波变换的桥梁损伤检测研究[J].防灾减灾工程学报,2014,34(06):718-724.

孙增寿, 张耀, 王希东. Research on Bridge Damage Detection Based on Operational Environment and Lifting Wavelet Transform[J]. 2014, 34(6): 718-724.
[1]孙增寿,张耀,王希东.基于运营环境和提升小波变换的桥梁损伤检测研究[J].防灾减灾工程学报,2014,34(06):718-724. DOI： 10.13409/j.cnki.jdpme.2014.06.009.

孙增寿, 张耀, 王希东. Research on Bridge Damage Detection Based on Operational Environment and Lifting Wavelet Transform[J]. 2014, 34(6): 718-724. DOI： 10.13409/j.cnki.jdpme.2014.06.009.

摘要

根据损伤桥梁在车辆荷载作用下的动力响应特点

以及提升小波变换对信号突变信息的放大功能

提出了利用桥梁运营荷载作用下加速度响应提升小波变换系数的分布特性对结构损伤进行识别的方法。首先

采集桥梁在行车荷载作用下的加速度响应信号;然后

对加速度响应信号进行提升小波变换

分别利用加速度响应信号、加速度响应信号差

提升小波变换系数空间变化的峰值识别损伤位置;最后

对行车速度、损伤位置、损伤程度和测量噪声对损伤识别效果的影响进行了分析讨论。结果表明:在行车速度8m/s以下、测量噪声不高于5%情况下

利用运营荷载作用下桥梁单点动力响应信号提升小波变换

可以实现桥梁多处损伤的检测和识别。

Abstract

According to the dynamic response characteristics of damaged bridges under vehicles load

and magnifying function of lifting wavelet transform at signal break point

the structural damage identification method has been proposed by the distribution characteristics of lifting wavelet transform coefficient of acceleration response of bridge under a moving load.Firstly

the acceleration response signal of the bridge subjected to a moving load is captured.Then the signal is transformed by lifting wavelet.The damage location is determined by spatial variation of lifting wavelet transform coefficients of acceleration response and acceleration response difference respectively.At the same time

the damage identification effect has been analyzed and discussed under the different speed of vehicle

the different damage location

the different damage severity and noise level.The following study results show that when the speed of vehicle is less than 8m/s and the noise level is less than 5%

the multiple site damage may been detected and determined by the lifting wavelet coefficients of a dynamic response signal of bridge under vehicles load.

关键词

Keywords

references

基于提升小波熵指标的梁板组合桥损伤识别研究 [J]. 孙增寿,范科举. 振动与冲击 . 2012(11)

移动载荷作用下简支梁的动态响应及裂纹损伤识别研究 [J]. 赵俊,张伟伟,马宏伟. 振动与冲击 . 2011(06)

基于第二代小波变换的结构损伤检测研究进展 [J]. 孙增寿,范科举,张波. 郑州大学学报(工学版) . 2010(01)

动载测试与小波分析在桥梁结构损伤诊断中的联合应用 [J]. 丁幼亮,李爱群,姚晓征. 振动工程学报 . 2006(04)

基于曲率模态和小波变换的简支梁桥损伤识别方法 [J]. 孙增寿,韩建刚,任伟新. 郑州大学学报(工学版) . 2005(03)

车辆与结构动力相互作用[M]. 科学出版社 , 夏禾,张楠著, 2005

Damage detection in structures under traveling loads by Hilbert–Huang transform [J] . N. Roveri,A. Carcaterra. Mechanical Systems and Signal Processing . 2011

A wavelet-based damage detection algorithm based on bridge acceleration response to a vehicle [J] . D. Hester,A. González. Mechanical Systems and Signal Processing . 2011

Application of continuous wavelet transform in vibration based damage detection method for beams and plates [J] . M. Rucka,K. Wilde. Journal of Sound and Vibration . 2006 (3)

Identification of system parameters and input force from output only [J] . Z.R. Lu,S.S. Law. Mechanical Systems and Signal Processing . 2006 (5)

Views

212

下载量

CSCD

Alert me when the article has been cited

提交

Tools

Publicity Resources

Comparative Experimental Study on Dynamic Response of Straight Inclined Piles under Variable Frequency Regular Wave Input

Dynamic Response of Silty Fine Sand Layer Beneath Single-hole Double-track Subway Tunnel

Numerical Simulation of Blast-resistant Performance of Utility Tunnel under Gas Explosion

Study on the Dynamic Response of Anchorage System under Earthquake

Shaking Table Test Study on Deformation and Failure Mechanism of Landslide wtih Multiple Slip Surface

Related Author

李雨润

王佳玮

邹泽

强东峰

马学勇

张巍

任家涛

朱守兵

Related Institution

No data

⁰