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Proceedings Paper

Guided ultrasonic waves for impact damage detection in composite panels
Author(s): B. I. S. Murat; P. Khalili; P. Fromme
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Paper Abstract

Carbon fiber laminate composites, consisting of layers of polymer matrix reinforced with high strength carbon fibers, are increasingly employed for aerospace structures. They offer advantages for aerospace applications, e.g., good strength to weight ratio. However, impact during the operation and servicing of the aircraft can lead to barely visible and difficult to detect damage. Depending on the severity of the impact, fiber and matrix breakage or delaminations can occur, reducing the load carrying capacity of the structure. Efficient structural health monitoring of composite panels can be achieved using guided ultrasonic waves propagating along the structure. Impact damage was induced in the composite panels using standard drop weight procedures. The guided wave scattering at the impact damage was measured using a noncontact laser interferometer, quantified, and compared to baseline measurements on undamaged composite panels. Significant scattering of the first anti-symmetrical (A0) guided wave mode was observed, allowing for the detection of barely visible impact damage. The guided wave scattering was modeled using full three-dimensional Finite Element (FE) simulations, and the influence of the different damage mechanisms investigated. Good agreement between experiments and predictions was found. The sensitivity of guided waves for the detection of barely visible impact damage in composite panels has been verified.

Paper Details

Date Published: 9 March 2014
PDF: 7 pages
Proc. SPIE 9064, Health Monitoring of Structural and Biological Systems 2014, 906419 (9 March 2014); doi: 10.1117/12.2046309
Show Author Affiliations
B. I. S. Murat, Univ. College London (United Kingdom)
P. Khalili, Univ. College London (United Kingdom)
P. Fromme, Univ. College London (United Kingdom)


Published in SPIE Proceedings Vol. 9064:
Health Monitoring of Structural and Biological Systems 2014
Tribikram Kundu, Editor(s)

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