Abstract
With an integrated active piezoelectric sensor network, a Lamb wave-based crack identification technique for aluminium plates was developed. Experimental results showed that the propagation of Lamb waves in aluminium plate-like structures is considerably complicated due to wave dispersion, material attenuation, boundary reflection, etc. In order to eliminate the diverse interference, a wavelet transform technique was applied to purify the acquired Lamb wave signals, and the characteristics of Lamb wave signals were extracted from the wave energy spectrum. A correlation function was further established, which helped identify the crack position based on a triangulation approach with the aid of a nonlinear least-squares optimization algorithm. Such an approach provides satisfactory results in locating the crack position in aluminium plates with cracks of 5 and 20mm in length.
Original language | English |
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Pages (from-to) | 839-849 |
Number of pages | 11 |
Journal | Smart Materials and Structures |
Volume | 15 |
Issue number | 3 |
DOIs | |
Publication status | Published - 1 Jun 2006 |
Externally published | Yes |
ASJC Scopus subject areas
- Materials Science(all)