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

Automated counting of off-axis tunnelling cracks using digital image processing
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 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/??/0/ ?]s. The results related to the crack density evolution are shown to be consistent with results from the literature.
0266-3538
80-89
Glud, J.A.
8e7a814e-24dd-40f8-bd26-465f29c5e4eb
Dulieu-Barton, J.M.
9e35bebb-2185-4d16-a1bc-bb8f20e06632
Thomsen, O.T.
f3e60b22-a09f-4d58-90da-d58e37d68047
Overgaard, L.C.T.
7a39e1eb-2afd-4f49-900b-8732c8013697
Glud, J.A.
8e7a814e-24dd-40f8-bd26-465f29c5e4eb
Dulieu-Barton, J.M.
9e35bebb-2185-4d16-a1bc-bb8f20e06632
Thomsen, O.T.
f3e60b22-a09f-4d58-90da-d58e37d68047
Overgaard, L.C.T.
7a39e1eb-2afd-4f49-900b-8732c8013697

Glud, J.A., Dulieu-Barton, J.M., Thomsen, O.T. and Overgaard, L.C.T. (2016) Automated counting of off-axis tunnelling cracks using digital image processing. Composites Science and Technology, 125, 80-89. (doi:10.1016/j.compscitech.2016.01.019).

Record type: Article

Abstract

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/??/0/ ?]s. The results related to the crack density evolution are shown to be consistent with results from the literature.

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Accepted/In Press date: 22 January 2016
e-pub ahead of print date: 26 January 2016
Published date: 23 March 2016
Organisations: Engineering Mats & Surface Engineerg Gp

Identifiers

Local EPrints ID: 399674
URI: http://eprints.soton.ac.uk/id/eprint/399674
ISSN: 0266-3538
PURE UUID: a27202b7-a1c5-4ad8-b9a4-c6f2c79f29ec

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Date deposited: 24 Aug 2016 09:19
Last modified: 15 Mar 2024 01:57

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Contributors

Author: J.A. Glud
Author: O.T. Thomsen
Author: L.C.T. Overgaard

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