Classification of composite damage from FBG load monitoring signals | Zendy

Aydin Rajabzadeh | Zendy; Richard C. Hendriks | Zendy; Richard Heusdens | Zendy; Roger M. Groves | Zendy

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Classification of composite damage from FBG load monitoring signals

Author(s) -

Aydin Rajabzadeh,

Richard C. Hendriks,

Richard Heusdens,

Roger M. Groves

Publication year - 2017

Publication title -

proceedings of spie, the international society for optical engineering/proceedings of spie

Language(s) - English

Resource type - Conference proceedings

SCImago Journal Rank - 0.192

H-Index - 176

eISSN - 1996-756X

pISSN - 0277-786X

DOI - 10.1117/12.2257660

Subject(s) - delamination (geology) , materials science , fiber bragg grating , composite number , composite material , composite laminates , glass fiber , matrix (chemical analysis) , structural engineering , engineering , wavelength , paleontology , tectonics , optoelectronics , subduction , biology

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.

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