Hybrid image processing approach for autonomous crack area detection and tracking using local digital image correlation results applied to single-fiber interfacial debonding
Local digital image correlation is a popular method for accurate full field displacement measurements. However, the technique struggles at autonomously tracking emerging and propagating cracks. We proposed a hybrid approach which utilizes image processing techniques in combination with local digital image correlation to autonomously monitor cracks in a mechanically loaded specimen. Our approach can extract and track crack surfaces and provide a volume-based visualization of the crack growth. This approach was applied to single-fiber composite experimental results with interfacial debonding from the literature. Results quantitatively show that strong interfacial fiber/matrix bonding leads to slower interfacial crack growth, delays interfacial crack growth in the matrix, requires higher loadings for crack growth and shows a specific crack path distinct from the one obtained for weak interfaces. The approach was also validated against a manual approach where a domain scientist extracts a crack using a polygon extraction tool. The method can be used on any local digital image correlation results involving damage observations.
%0 Journal Article
%1 tabiai2019hybrid
%A Tabiai, Ilyass
%A Tkachev, Gleb
%A Diehl, Patrick
%A Frey, Steffen
%A Ertl, Thomas
%A Therriault, Daniel
%A Lévesque, Martin
%D 2019
%J Engineering Fracture Mechanics
%K vis(us) visus:ertl visus:tkachegb visus visus:freysn from:gtkachev
%P 106485
%R https://doi.org/10.1016/j.engfracmech.2019.106485
%T Hybrid image processing approach for autonomous crack area detection and tracking using local digital image correlation results applied to single-fiber interfacial debonding
%U http://www.sciencedirect.com/science/article/pii/S0013794418312530
%V 216
%X Local digital image correlation is a popular method for accurate full field displacement measurements. However, the technique struggles at autonomously tracking emerging and propagating cracks. We proposed a hybrid approach which utilizes image processing techniques in combination with local digital image correlation to autonomously monitor cracks in a mechanically loaded specimen. Our approach can extract and track crack surfaces and provide a volume-based visualization of the crack growth. This approach was applied to single-fiber composite experimental results with interfacial debonding from the literature. Results quantitatively show that strong interfacial fiber/matrix bonding leads to slower interfacial crack growth, delays interfacial crack growth in the matrix, requires higher loadings for crack growth and shows a specific crack path distinct from the one obtained for weak interfaces. The approach was also validated against a manual approach where a domain scientist extracts a crack using a polygon extraction tool. The method can be used on any local digital image correlation results involving damage observations.
@article{tabiai2019hybrid,
abstract = {Local digital image correlation is a popular method for accurate full field displacement measurements. However, the technique struggles at autonomously tracking emerging and propagating cracks. We proposed a hybrid approach which utilizes image processing techniques in combination with local digital image correlation to autonomously monitor cracks in a mechanically loaded specimen. Our approach can extract and track crack surfaces and provide a volume-based visualization of the crack growth. This approach was applied to single-fiber composite experimental results with interfacial debonding from the literature. Results quantitatively show that strong interfacial fiber/matrix bonding leads to slower interfacial crack growth, delays interfacial crack growth in the matrix, requires higher loadings for crack growth and shows a specific crack path distinct from the one obtained for weak interfaces. The approach was also validated against a manual approach where a domain scientist extracts a crack using a polygon extraction tool. The method can be used on any local digital image correlation results involving damage observations.},
added-at = {2020-01-10T13:33:31.000+0100},
author = {Tabiai, Ilyass and Tkachev, Gleb and Diehl, Patrick and Frey, Steffen and Ertl, Thomas and Therriault, Daniel and Lévesque, Martin},
biburl = {https://puma.ub.uni-stuttgart.de/bibtex/286742234f0faa429791acde4386577c3/visus},
doi = {https://doi.org/10.1016/j.engfracmech.2019.106485},
interhash = {debf04e60092c03853b4691a142f7900},
intrahash = {86742234f0faa429791acde4386577c3},
issn = {0013-7944},
journal = {Engineering Fracture Mechanics},
keywords = {vis(us) visus:ertl visus:tkachegb visus visus:freysn from:gtkachev},
pages = 106485,
timestamp = {2020-01-10T12:33:31.000+0100},
title = {Hybrid image processing approach for autonomous crack area detection and tracking using local digital image correlation results applied to single-fiber interfacial debonding},
url = {http://www.sciencedirect.com/science/article/pii/S0013794418312530},
volume = 216,
year = 2019
}