Automated counting of off-axis tunnelling cracks using digital image processing

An automated method for counting propagating matrix tunnelling cracks for use in mechanical testing of Glass Fibre Reinforced Plastic (GFRP) laminates under quasi-static and fatigue loading is presented. White light images are captured from specimens during the loading. The transmitted light is used...

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Bibliographic Details
Published in:Composites science and technology 2016-03, Vol.125, p.80-89
Main Authors: Glud, J.A., Dulieu-Barton, J.M., Thomsen, O.T., Overgaard, L.C.T.
Format: Article
Language:English
Subjects:
Automation
Counting
Damage mechanics
Digital image processing
Fatigue
Fatigue cracks
Flaw detection
Glass fiber reinforced plastics
Image processing
Laminates
Matrix cracking
Polymer-matrix composites
Tunnelling
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Summary:An automated method for counting propagating matrix tunnelling cracks for use in mechanical testing of Glass Fibre Reinforced Plastic (GFRP) laminates under quasi-static and fatigue loading is presented. White light images are captured from specimens during the loading. The transmitted light is used to detect the cracks in the images, which are then processed to count the cracks as they develop and grow through the duration of the test. The reproducibility and accuracy of the image processing is demonstrated using simulated transverse crack densities and patterns. The methodology is demonstrated and validated experimentally using two different laminate stacking sequences of the type [0/−θ/0/ θ]s. The results related to the crack density evolution are shown to be consistent with results from the literature.
ISSN:0266-3538
1879-1050
DOI:10.1016/j.compscitech.2016.01.019