Automated damage detection in composite components using acoustic emission

Pullin, Rhys ORCID: https://orcid.org/0000-0002-2853-6099, Pearson, Matthew R. ORCID: https://orcid.org/0000-0003-1625-3611, Eaton, Mark Jonathan ORCID: https://orcid.org/0000-0002-7388-6522, Featherston, Carol Ann ORCID: https://orcid.org/0000-0001-7548-2882, Holford, Karen Margaret ORCID: https://orcid.org/0000-0002-3239-4660 and Clarke, Alastair ORCID: https://orcid.org/0000-0002-3603-6000 2013. Automated damage detection in composite components using acoustic emission. Key Engineering Materials 569-57 , pp. 80-87. 10.4028/www.scientific.net/KEM.569-570.80

Full text not available from this repository.

Abstract

The ability of a Structural Health Monitoring (SHM) system to automatically identify damage in a composite structure is a vital requirement demanded by end-users of such systems. This paper presents the demonstration of a potential method. A composite fatigue specimen was manufactured and initially tested at 1Hz for 1000 cycles. Acoustic emission (AE) signals were recorded for complete fatigue cycles periodically in order to establish a base-line associated with undamaged specimens. The specimen was then subjected to impact damage to create barely-visible impact damage (BVID) and subjected to further fatigue cycles with acoustic emission recorded until failure. The data was subsequently analysed using a range of techniques including basic RMS signal levels and frequency-based analysis. At various stages during the test, C-scanning was used to validate the results obtained. Results demonstrated that AE is capable of detecting BVID in composite materials under fatigue loading. The proposed method has wide applicability to composite structures which are subjected to cyclic loading, such as wind turbine blades.

Item Type:	Article
Date Type:	Publication
Status:	Published
Schools:	Centre for Advanced Manufacturing Systems At Cardiff (CAMSAC) Engineering
Subjects:	T Technology > TA Engineering (General). Civil engineering (General)
Additional Information:	Main Theme:Damage Assessment of Structures X
Publisher:	Trans Tech Publications
ISSN:	1662-9795
Last Modified:	24 Oct 2022 12:09
URI:	https://orca.cardiff.ac.uk/id/eprint/50716

Citation Data

Cited 3 times in Scopus. View in Scopus. Powered By Scopus® Data

Actions (repository staff only)

Edit Item