%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 visus:ertl visus:freysn visus:tkachegb %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/gtkachev}, 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 visus:ertl visus:freysn visus:tkachegb}, 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 }