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Proceedings Paper

Classification of composite damage from FBG load monitoring signals
Author(s): Aydin Rajabzadeh; Richard C. Hendriks; Richard Heusdens; Roger M. Groves
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Paper Abstract

This paper describes a new method for the classification and identification of two major types of defects in composites, namely delamination and matrix cracks, by classification of the spectral features of fibre Bragg grating (FBG) signals. In aeronautical applications of composites, after a damage is detected, it is very useful to know the type of damage prior to determining the treatment method of the area or perhaps replacing the part. This was achieved by embedding FBG sensors inside a glass-fibre composite, and analysing the output signal from the sensors. The glass-fibre coupons were subjected to mode-I loading under tension-compression and static tests, in order to induce matrix cracks and delamination damages respectively. Afterwards, using wavelet features extracted from spectral measurements of the FBG sensors, classification of the damage type was carried out by means of support vector machines as a general classification tool with a quadratic kernel.

Paper Details

Date Published: 12 April 2017
PDF: 8 pages
Proc. SPIE 10168, Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems 2017, 1016831 (12 April 2017); doi: 10.1117/12.2257660
Show Author Affiliations
Aydin Rajabzadeh, Technische Univ. Delft (Netherlands)
Richard C. Hendriks, Technische Univ. Delft (Netherlands)
Richard Heusdens, Technische Univ. Delft (Netherlands)
Roger M. Groves, Technische Univ. Delft (Netherlands)

Published in SPIE Proceedings Vol. 10168:
Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems 2017
Jerome P. Lynch, Editor(s)

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