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International Journal of Fracture

, Volume 183, Issue 2, pp 259–266 | Cite as

Damage Identification in Plate-type Structures Using 2-D Spatial Wavelet Transform and Flexibility-Based Methods

Letters in Fracture and Micromechanics

Abstract

Wavelet-based damage identification using vibration measurements has received significant attention over the past two decades and wavelet transforms, as signal processing techniques, have become a practical and useful methodology in the field of damage identification. In this work, generalized flexibility matrix (GFM) and uniform load surface (ULS) in conjunction with a 2-D discrete wavelet transform are used to find damage locations in plate-type structures. In order to evaluate these methods, a finite element (FE) model of a plate is used and the effects of number of involved modes, damage location, damage severity, and different boundary conditions are studied.

Keywords

damage detection discrete wavelet transform (DWT) uniform load surface (ULS) generalized flexibility matrix (GFM) 

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References

  1. Khatam H., Golafshani A.A., Beheshti-Aval S., Noori M. (2007) Harmonic class loading for damage identification in beams using wavelet analysis. Structural Health Monitoring 6: 67–80CrossRefGoogle Scholar
  2. Li J., Wu B., Zeng Q., Lim C. (2010) A generalized flexibility matrix based approach for structural damage detection. Journal of Sound and Vibration 329: 4583–4587CrossRefGoogle Scholar
  3. Loutridis S., Douka E., Hadjileontiadis L., Trochidis A. (2005) A two-dimensional wavelet transform for detection of cracks in plates. Engineering structures 27: 1327–1338CrossRefGoogle Scholar
  4. Mallat, S. (1999). A wavelet tour of signal processing. Academic press,Google Scholar
  5. Pandey A., Biswas M. (1994) Damage detection in structures using changes in flexibility. Journal of Sound and Vibration 169: 3–17CrossRefGoogle Scholar
  6. Shukla, P.D. (2003). Complex wavelet transforms and their applications. Glasgow (United Kingdom)), M Phil Thesis, Dept of Electronic and Electrical Engineering, University of Strathclyde Google Scholar
  7. Starck, J.L., Murtagh, F., Fadili, J.M. (2010). Sparse image and signal processing: wavelets, curvelets, morphological diversity. Cambridge University Press,Google Scholar
  8. Zhang Z., Aktan A. (1998) Application of modal flexibility and its derivatives in structural identification. Journal of Research in Nondestructive Evaluation 10: 43–61CrossRefGoogle Scholar

Copyright information

© Springer Science+Business Media Dordrecht 2013

Authors and Affiliations

  1. 1.Modal Analysis Lab, School of Mechanical EngineeringSemnan UniversitySemnanIran

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