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

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

Research output: Contribution to journalArticle (Academic Journal)peer-review

33 Citations (Scopus)
139 Downloads (Pure)


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 languageEnglish
Pages (from-to)80-89
Number of pages10
JournalComposites Science and Technology
Early online date26 Jan 2016
Publication statusPublished - 23 Mar 2016


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


Dive into the research topics of 'Automated counting of off-axis tunnelling cracks using digital image processing'. Together they form a unique fingerprint.

Cite this