Damage Identification for Continuous Girder Bridge Based on Wavelet Packet Sample Entropy

被引:0
|
作者
Sun Z. [1 ]
Li X. [2 ]
Han P. [1 ]
Lou W. [1 ]
机构
[1] School of Civil Engineering, Zhengzhou University, Zhengzhou
[2] The Second Branchu, Henan Provincial Communications Planning & Design Institute Co., Ltd, Zhengzhou
来源
| 2018年 / Nanjing University of Aeronautics an Astronautics卷 / 38期
关键词
Continuous girder bridge; Damage identification; Dynamic response; Sample entropy; Wavelet packet transform;
D O I
10.16450/j.cnki.issn.1004-6801.2018.05.006
中图分类号
学科分类号
摘要
In order to reduce the number of sensors arranged in current bridge detection, the wavelet packet decomposition and sample entropy are combined. A novel method detecting and identifying the structural damages of continuous girder bridge by dynamic response signal of single point has been discussed and studied. A novel damage identification index and method of continuous girder bridge has been proposed. In applications, the wavelet packet transform is used to decompose and reconstruct the acceleration response signal of bridge under moving load. The sample entropy values of reconstructed signal have been calculated. Moreover, the sample entropy of wavelet packet transform with different logarithmic acceleration energy has been established to act as a damage identification index. Its applicability and correctness are verified by a three-span continuous girder bridge with variable cross sections. Noise robustness of index is alsoanalyzed. The research results show that the index and method proposed in this paper can identify the damage location and extent by analyzing the acceleration response signals of any points on bridge, which is not sensitive to the noise. © 2018, Editorial Department of JVMD. All right reserved.
引用
收藏
页码:916 / 921
页数:5
相关论文
共 11 条
  • [1] Sun Z., Lin Y., Ren W., Structrral damage identification based on wavelet energy distribution vectors, Journal of Earthquake and Egineering Vibration, 27, 5, pp. 103-109, (2007)
  • [2] Han J., Ren W., Sun Z., Damage detection and identification of structures in laboratory based on wavelet packet analysis, Journal of Vibration and Shock, 25, 1, pp. 47-50, (2006)
  • [3] Ding Y., Li A., Miao C., Et al., Structural damage alarming indices for long-span bridges based on wavelet packet energy spectrum, China Journal of Highway and Transport, 19, 5, pp. 34-40, (2006)
  • [4] Yu Z., Xia H., Zhan J., Et al., Experimental study on bridge damage identification based on wavelet packet energy curvature difference method, Journal of Vibration and Shock, 32, 5, pp. 20-25, (2013)
  • [5] Zhu J., Sun Y., Wavelet packet energy based on damage detection idex for bridge, Journal of Vibration, Measurement & Diagnosis, 35, 4, pp. 715-721, (2015)
  • [6] Zhao Z., Yang S., Sample entropy based roller bearing fault diagnosis method, Journal of Vibration and Shock, 31, 6, pp. 136-140, (2012)
  • [7] Qin N., Jin W., Huang J., Et al., Feature extraction of high speed train bogie based on ensemble empirical mode decomposition and sample entropy, Journal of Southwest Jiaotong University, 49, 1, pp. 27-32, (2014)
  • [8] Han M., Pan J., A fault diagnosis method combined with LMD, sample entropy and energy ratio for roller bearings, Measurement, 36, 5, pp. 7-19, (2015)
  • [9] Li X., He N., He K., Et al., Cylindrical roller bearing diagnosis based on wavelet packet Approximate Entropy and Support Vector Machines, Journal of Vibration, Measurement & Diagnosis, 35, 6, pp. 1031-1036, (2015)
  • [10] Zhang W., Yu L., Su Y., Application of EEMD sample entropy and grey relation degree in gearbox fault identification, The Open Mechanical Engineering Journal, 8, 1, pp. 402-408, (2014)