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Author:

Sun, K. (Sun, K..) | Zhang, Y.-Q. (Zhang, Y.-Q..)

Indexed by:

Scopus PKU CSCD

Abstract:

According to the characteristics of wavelet packet time-frequency analysis, the concept of local energy with time sequence within a frequency band was introduced to propose a damage index to be used to detect the damage with the time-history response data of a single point of a curved bridge under moving load. In order to improve the index's correctness and its anti-noise ability, the temporal-spatial information fusion technology using the information of different measured points under different moving loads was developed to make the final damage detection. Taking a curved bridge as the study object, the finite element model was established to verify the feasibility of the proposed method. Then the factor analysis and the anti-noise ability of the method were studied. The results showed that the damage index of single point is applicable to detect multiple damages; the index value at the damage location is associated with the location of the measured; the results of damage detection change little with variation of moving load speed in a certain range; with the temporal-spatial information fusion technology to do the final damage identification, the accuracy and anti-noise ability of the damage identification can be effectively improved. © 2016, Editorial Office of Journal of Vibration and Shock. All right reserved.

Keyword:

Curved bridge; Damage identification; Local energy of frequency band; Moving load; Temporal-spatial information fusion; Wavelet packet analysis

Author Community:

  • [ 1 ] [Sun, K.]College of Architecture and Civil Engineering, Beijing University of Technology, Beijing, 100124, China
  • [ 2 ] [Zhang, Y.-Q.]College of Architecture and Civil Engineering, Beijing University of Technology, Beijing, 100124, China

Reprint Author's Address:

  • [Zhang, Y.-Q.]College of Architecture and Civil Engineering, Beijing University of TechnologyChina

Email:

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Source :

Journal of Vibration and Shock

ISSN: 1000-3835

Year: 2016

Issue: 11

Volume: 35

Page: 138-145

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count:

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 3

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