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Author:

He, Haoxiang (He, Haoxiang.) (Scholars:何浩祥) | Yan, Weiming (Yan, Weiming.) (Scholars:闫维明) | Zhang, Ailin (Zhang, Ailin.) | Wang, Zhuo (Wang, Zhuo.)

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EI Scopus PKU CSCD

Abstract:

The cable prestressing loss and web members damage experiment of a beam string structure was carried out. Different prestressing forces were exerted on the cable to simulate cable prestressing loss, the prestressing forces were calculated by the frequencies which were solved by Fourier transform or wavelet transform under impulse excitation. Test results show this method is accurate and convenient. The damage cases of web members on the beam were tested to validate the efficiency of wavelet support vector machine method. Wavelet packet decomposition was applied to the structural response signals under ambient vibration, feature vectors were obtained by feature extraction method with 'energy-damage state'. The feature vectors were used for training and classification as the inputs of the compact support vector machine. The structural damage position and degree can be identified and classified, and the test result is highly accurate especially combined with principle component analysis.

Keyword:

Prestressed beams and girders Support vector machines Prestressing Wavelet decomposition Principal component analysis Damage detection Vectors Structural analysis Wavelet analysis Cables

Author Community:

  • [ 1 ] [He, Haoxiang]Beijing Laboratory of Earthquake Engineering and Structural Retrofit, Beijing University of Technology, Beijing, 100124, China
  • [ 2 ] [Yan, Weiming]Beijing Laboratory of Earthquake Engineering and Structural Retrofit, Beijing University of Technology, Beijing, 100124, China
  • [ 3 ] [Zhang, Ailin]Beijing Laboratory of Earthquake Engineering and Structural Retrofit, Beijing University of Technology, Beijing, 100124, China
  • [ 4 ] [Wang, Zhuo]Beijing Laboratory of Earthquake Engineering and Structural Retrofit, Beijing University of Technology, Beijing, 100124, China

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Source :

Journal of Vibration, Measurement and Diagnosis

ISSN: 1004-6801

Year: 2011

Issue: 1

Volume: 31

Page: 45-49

Cited Count:

WoS CC Cited Count: 0

SCOPUS Cited Count:

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 10

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