journal article·2013-10

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

Masoud Masoumi, Mohammad Reza Ashory

International Journal of Fracture· Volume 183· Issue 2
Publisher page

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.
Source: openaire · Quality: candidate unverified · Source record ↗

Research context

OpenAlex topics: Structural Health Monitoring Techniques · Ultrasonics and Acoustic Wave Propagation · Optical measurement and interference techniques

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

References (8)

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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: 67–8010.1177/1475921707072064 ↗
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: 4583–458710.1016/j.jsv.2010.05.024 ↗
3. Loutridis S., Douka E., Hadjileontiadis L., Trochidis A. (2005) A two-dimensional wavelet transform for detection of cracks in plates. Engineering structures 27: 1327–133810.1016/j.engstruct.2005.03.006 ↗
4. Mallat, S. (1999). A wavelet tour of signal processing. Academic press,10.1016/B978-012466606-1/50008-8 ↗
5. Pandey A., Biswas M. (1994) Damage detection in structures using changes in flexibility. Journal of Sound and Vibration 169: 3–1710.1006/jsvi.1994.1002 ↗
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
7. Starck, J.L., Murtagh, F., Fadili, J.M. (2010). Sparse image and signal processing: wavelets, curvelets, morphological diversity. Cambridge University Press,10.1017/CBO9780511730344 ↗
8. Zhang Z., Aktan A. (1998) Application of modal flexibility and its derivatives in structural identification. Journal of Research in Nondestructive Evaluation 10: 43–6110.1080/09349849809409622 ↗