Damage identification of temperature-sensitive structure based on principal component analysis

被引:0
|
作者
Chang P. [1 ,2 ]
Wang Y.-J. [1 ]
Wu Y.-F. [1 ]
Yang N. [1 ,2 ]
机构
[1] School of Civil Engineering, Beijing Jiaotong University, Beijing
[2] Beijing's Key Laboratory of Structural Wind Engineering and Urban Wind Environment, Beijing
关键词
Damage identification; Principal component analysis; Temperature sensitivity; Wavelet packet energy spectrum; Wavelet packet transform;
D O I
10.16385/j.cnki.issn.1004-4523.2019.02.006
中图分类号
学科分类号
摘要
In order to avoid misjudgment of damage identification due to temperature changes, the wavelet packet transform and principal component analysis are used to construct damage indicator DIT for the purpose of eliminating or reducing the effect of temperature on the damage characteristics in the process of damage identification. A simple-supported beam is taken as research object, considering the temperature effect. Based on the methods mentioned above, the damage indicator DIT and damage upper limit UL are constructed. Then, the impact of damage locations and degrees of damage on the damage indicator is analyzed. It shows that using the damage indicator proposed in this paper is able to improve the reliability of the damage identification of the temperature sensitivity structure effectively. Based on the analysis of two years' dynamic monitoring data of a Tibetan ancient building, it proves that the damage indicator DIT does not exceed the damage upper limit and there is no obvious damage to the structure. © 2019, Nanjing Univ. of Aeronautics an Astronautics. All right reserved.
引用
收藏
页码:234 / 240
页数:6
相关论文
共 11 条
  • [1] Zhao J., Dewolf J.T., Dynamic monitoring of steel girder highway bridge, Journal of Bridge Engineering, 7, 6, pp. 350-356, (2002)
  • [2] Peeters B., De Roeck G., One-year monitoring of the Z24-Bridge: environmental effects versus damage events, Earthquake Engineering & Structural Dynamics, 30, 2, pp. 149-171, (2001)
  • [3] Gu J., Wu X., Yao Y., Eliminating temperature influences in structural damage detection by using neural network, Journal of Chang'an University (Natural Science Edition), 36, 3, pp. 41-48, (2016)
  • [4] Li M., Huang T., Ren W., Structural novelty detection under temperature variation based on PCA and modal flexibility, Journal of Vibration and Shock, 30, 5, pp. 83-87, (2011)
  • [5] Chang P., Yang N., Zhang G., Damage identification of the frame structure based on multi-resolution analysis and wavelet energy curvature, Journal of Harbin Institute of Technology, 48, 6, pp. 170-176, (2016)
  • [6] Yan A.M., Kerschen G., Boe P.D., Et al., Structural damage diagnosis under varying environmental conditions-Part I: A linear analysis, Mechanical Systems & Signal Processing, 19, 4, pp. 847-864, (2005)
  • [7] Deraemaeker A., Reynders E., Roeck G.D., Et al., Vibration-based structural health monitoring using output-only measurements under changing environment, Mechanical Systems & Signal Processing, 22, 1, pp. 34-56, (2008)
  • [8] Wu Y., Study and application on damage identification of temperature-sensitive structure based on wavelet packet transform, (2017)
  • [9] Zhu J., Damage identification under temperature effect of simply supported bridge based on neural network, (2015)
  • [10] Wang Y., Finite element analysis and reliability assessment of hall-style ancient wooden structure, (2014)