Abstract
A damage identification system involving a surface-attached piezoelectric transducer was developed in this study in correlation with an elastic wave propagation model. A signal processing and identification algorithm in the time-frequency domain based on the wavelet transform technique was proposed to suppress the diverse broadband interferences and effectively extract useful diagnostic information from the acquired raw impact responses, facilitating a prompt yet accurate structural health assessment. The developed system was then validated by applying it to a defective metal beam bearing a transverse crack with an increasing depth that simulates the crack growth. It is shown that the monitoring for the variable damage severity in the one-dimensional structure can be fulfilled quantitatively and exactly using this technique.
Original language | English |
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Pages (from-to) | 27-40 |
Number of pages | 14 |
Journal | Structural Health Monitoring |
Volume | 2 |
Issue number | 1 |
DOIs | |
Publication status | Published - 1 Dec 2003 |
Externally published | Yes |
Keywords
- Impact response
- Signal processing
- Structural health monitoring (SHM)
- Wave propagation
- Wavelet transform
ASJC Scopus subject areas
- Biophysics
- Mechanical Engineering