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Localisation and identification of fatigue matrix cracking and delamination in a carbon fibre panel by acoustic emission

Crivelli, Davide, Guagliano, Mario, Eaton, Mark, Pearson, Matthew R., Al-Jumaili, Safaa Kh., Holford, Karen Margaret and Pullin, Rhys 2015. Localisation and identification of fatigue matrix cracking and delamination in a carbon fibre panel by acoustic emission. Composites: Part B Engineering 74 , pp. 1-12. 10.1016/j.compositesb.2014.12.032

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Abstract

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.

Item Type: Article
Date Type: Publication
Status: Published
Schools: Engineering
Subjects: T Technology > TA Engineering (General). Civil engineering (General)
Uncontrolled Keywords: A. Carbon fibre; A. Laminates; C. Damage mechanics; D. Acoustic emission; Artificial damage
Additional Information: Available online 12 January 2015 This journal has an embargo period of 24 months PDF uploaded in accordance with publisher's policies at https://www.elsevier.com/journals/composites-part-b-engineering/1359-8368/open-access-options (accessed 11.03.16)
Publisher: Elsevier
ISSN: 1359-8368
Last Modified: 23 May 2018 00:03
URI: http://orca.cf.ac.uk/id/eprint/70271

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Cited 26 times in Scopus. View in Scopus. Powered By Scopus® Data

Cited 3 times in Web of Science. View in Web of Science.

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