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Journal of Nondestructive Evaluation

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01-06-2020

Impact Damage Detection in CFRP Composite via Electrical Resistance Tomography by Means of Statistical Processing

Authors: Jan Cagáň, Lenka Michalcová

Published in: Journal of Nondestructive Evaluation | Issue 2/2020

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Abstract

This study assesses the damage-detection capability of electrical resistance tomography for carbon fiber-reinforced polymer composites damaged by barely visible impact damage. Although electrical resistance tomography suffers from low spatial resolution, the method is sensitive to small conductivity changes and is therefore a suitable tool for detection of point inhomogeneity. For assessment purposes, a set of rectangular specimens were damaged by barely visible impact damage at various energies. From reconstructed images of the conductivity changes, the amplitudes and position errors for different image priors were evaluated. Amplitudes were related to the area of the delamination obtained by C-scan and assessed statistically by probability-of-detection curves. The impacts were also compared with drilled thru-holes on specimens with the same configuration. The results indicate that electrical resistance tomography is able to detect the delamination area caused by barely visible impact damage in this particular laboratory case using the amplitude of the center of gravity. The presented amplitude sensitivity, together with the position error, allows the electrical resistance tomography to be considered as a tool for structural health monitoring for early detection of barely visible impact damage what provides suggestions for further research. The performed study is the first one this comprehensive because of the number of specimens, which goes toward a statistical assessment of the electrical resistance tomography detection capability.

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Title: Impact Damage Detection in CFRP Composite via Electrical Resistance Tomography by Means of Statistical Processing
Authors: Jan Cagáň
Lenka Michalcová
Publication date: 01-06-2020
Publisher: Springer US
Published in: Journal of Nondestructive Evaluation / Issue 2/2020
Print ISSN: 0195-9298
Electronic ISSN: 1573-4862
DOI: https://doi.org/10.1007/s10921-020-00677-2

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