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Seismic Vulnerability Assessment of Masonry Walls by Signal Processing

Shahravesh, Masoud | 2015

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  1. Type of Document: M.Sc. Thesis
  2. Language: Farsi
  3. Document No: 46848 (09)
  4. University: Sharif University of Technology
  5. Department: Civil Engineering
  6. Advisor(s): Bakhshi, Ali
  7. Abstract:
  8. In this study, damage detection of brick masonry walls using a unique signal processing technique has been addressed. Firstly, the pushover analysis and the calibration of the model is performed. Then, the dynamic analysis of the wall under earthquake excitation in three cases with different aspect ratios is conducted. Finally the dynamic properties of the system, namely natural frequency and modal damping ratio, are identified using continuous wavelet transform. The advantage of wavelet transform is its fine time-frequency resolution. The Morlet mother wavelet is used since it can provide the best time-frequency resolution based on Heisenberg uncertainty principle. Afterwards, the existence, time and location of the damage of the wall is localized using wavelet packet transform and based on the concept of energy distribution of subsignals. The results show that the wavelet coefficients are highly valuable regarding the estimation of modal parameters and also for damage detection purposes. The use of minimal sensors and optimal sensor placement are other objectives of this study. The proposed method is capable to detect diagonal cracks and rocking motion. Sliding cracks are not quantified since the macro model is used for the wall. On the other hand, the significance of this method for damage identification of historical structures as a non-destructive tool is more pronounced
  9. Keywords:
  10. Wavelet Transform ; System Identification ; Damage Identification ; Masonry Wall ; Structural Health Monitoring ; Seismic Vulnerability

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