Journal
MECHANICAL SYSTEMS AND SIGNAL PROCESSING
Volume 25, Issue 6, Pages 2257-2270Publisher
ACADEMIC PRESS LTD- ELSEVIER SCIENCE LTD
DOI: 10.1016/j.ymssp.2011.02.003
Keywords
Composite beams; Delamination; Haar wavelets; Neural networks
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Funding
- Estonian Science Foundation [8830]
- Centre of Excellence in Computer Science (EXCS)
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The paper presents an integrated vibration-based method for delaminations detection in homogeneous and composite beams. The method is based on Haar wavelets and artificial neural networks (ANNs). Firstly, scaled modal responses of the structure are expanded into Haar series by Chen-Hsiao method (CHM), and a delamination feature index is constructed. The database of 68 datasets built on Haar wavelet and frequency-based approaches was utilized by different ANNs to establish the mapping relationship between the delamination status and the delamination feature index or frequencies. The results are compared to each other. The simulations show the proposed complex method with delamination index detects the location of delaminations and identifies the delamination extent with high precision ( > 90%); the approach requires less computations and processing time than the frequency-based approach. (C) 2011 Elsevier Ltd. All rights reserved.
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