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Structural Health Monitoring based on Emprical Wavelet Transform and Fuzzy Logic

Asadi Zeidabadi, Abbas | 2017

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  1. Type of Document: M.Sc. Thesis
  2. Language: Farsi
  3. Document No: 50343 (09)
  4. University: Sharif University of Technology
  5. Department: Civil Engineering
  6. Advisor(s): Bakhshi, Ali; Ghodrati Amiri, Gholamreza
  7. Abstract:
  8. Performance of civil infrastructures, such as high-rise buildings, bridges, tunnels, offshore platforms and other structures may be critically influenced by existence of structural damages or even lead to devastating consequences. Structural Health Monitoring(SHM) and damage detection denotes the ability to monitor the performance of structure, detect and assess any damage at the earliest stage in order to reduce the life-cycle cost of structure and improve its reliability and safety. Generally, damage is defined as some changes in the physical properties of a structure, such as stiffness matrix. On the other hand, presence of damage causes changes in structural dynamic characteristics, such as mode shape vectors and natural frequencies. time-frequency methods are effective tools for analyzing nonstationary signals which makes them appropriate for structural health.Time-frequency analyse by using Empirical Wavelet Transform(EWT) and Hilbert Transform(HT) to extract Inrinsic mode function(IMF) and modal features of vibration of the structure and Fuzzy logic for localizing and quantifying structural damage are main methods in this research.The efficiency of the method is verified by an numerical study of a five-story shear frame subjected to ground motion. All of the obtained results emphasize the robustness of EWT to extract exact IMF and solve mode mixing effect and good performance of the Fuzzy logic in detecting, locating, and quantifying damage severity of shear frames
  9. Keywords:
  10. Structural Health Monitoring ; Hilbert Transform ; Shear Frame ; Fuzzy Logic ; Time-frequency Domain ; Empirical Wavelet Transform (EWT)

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