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

J.A Glud; Janice Barton; Ole Thomsen; L.C.T. Overgaard

doi:10.1016/j.compscitech.2016.01.019

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

J.A Glud, Janice Barton, Ole Thomsen, L.C.T. Overgaard

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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.

Original language	English
Pages (from-to)	80-89
Number of pages	10
Journal	Composites Science and Technology
Volume	125
Early online date	26 Jan 2016
DOIs	https://doi.org/10.1016/j.compscitech.2016.01.019
Publication status	Published - 23 Mar 2016

Keywords

Fatigue
Polymer-matrix composites
Matrix cracking
Damage mechanics
Digital image processing

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10.1016/j.compscitech.2016.01.019

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This is the author accepted manuscript (AAM). The final published version (version of record) is available online via Elsevier at https://www.sciencedirect.com/science/article/pii/S0266353816300197. Please refer to any applicable terms of use of the publisher.
Accepted author manuscript, 1.25 MBLicence: CC BY-NC-ND

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Professor Janice M Barton
- janice.bartonbristol.acuk
- School of Civil, Aerospace and Design Engineering - Professor
- Bristol Composites Institute
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@article{b2dc8fd2895546a4ba8a9b673aedb7be,

title = "Automated counting of off-axis tunnelling cracks using digital image processing",

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.",

keywords = "Fatigue, Polymer-matrix composites, Matrix cracking, Damage mechanics, Digital image processing",

author = "J.A Glud and Janice Barton and Ole Thomsen and L.C.T. Overgaard",

year = "2016",

month = mar,

day = "23",

doi = "10.1016/j.compscitech.2016.01.019",

language = "English",

volume = "125",

pages = "80--89",

journal = "Composites Science and Technology",

issn = "0266-3538",

publisher = "Elsevier",

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TY - JOUR

T1 - Automated counting of off-axis tunnelling cracks using digital image processing

AU - Glud, J.A

AU - Barton, Janice

AU - Thomsen, Ole

AU - Overgaard, L.C.T.

PY - 2016/3/23

Y1 - 2016/3/23

N2 - 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.

AB - 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.

KW - Fatigue

KW - Polymer-matrix composites

KW - Matrix cracking

KW - Damage mechanics

KW - Digital image processing

U2 - 10.1016/j.compscitech.2016.01.019

DO - 10.1016/j.compscitech.2016.01.019

M3 - Article (Academic Journal)

SN - 0266-3538

VL - 125

SP - 80

EP - 89

JO - Composites Science and Technology

JF - Composites Science and Technology

ER -

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

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Professor Janice M Barton

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