Journal
COMPOSITES PART B-ENGINEERING
Volume 74, Issue -, Pages 1-12Publisher
ELSEVIER SCI LTD
DOI: 10.1016/j.compositesb.2014.12.032
Keywords
Carbon fibre; Laminates; Damage mechanics; Acoustic emission; Artificial damage
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Background: The use of Acoustic Emission (AE) as a Structural Health Monitoring (SHM) technique is very attractive thanks to its ability to detect not only damage sources in real-time but also to locate them. Methods: To demonstrate the AE capabilities on known damage modes, a carbon fibre panel was manufactured with cut fibres in a central location and subjected to fatigue loading to promote matrix cracking. Subsequently, a delamination was created within the panel using an impact load, and the test was continued. Results: AE signals were located within the crack area in the first part of the test. After impact, AE signals were detected from both areas under fatigue loading; signals from this area were located and used for further analysis with the neural network technique. Conclusions: The application of an unsupervised neural network based classification technique successfully separated two damage mechanisms, related to matrix cracking and delamination. The results obtained allowed a more detailed understanding of such sources of AE in carbon fibre laminates. (C) 2015 Elsevier Ltd. All rights reserved.
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