A novel top surface analysis method for mode I interface characterisation using digital image correlation

Reiner, Johannes, Torres, Juan Pablo and Veidt, Martin (2017) A novel top surface analysis method for mode I interface characterisation using digital image correlation. Engineering Fracture Mechanics, 173 107-117. doi:10.1016/j.engfracmech.2016.12.022


Author Reiner, Johannes
Torres, Juan Pablo
Veidt, Martin
Title A novel top surface analysis method for mode I interface characterisation using digital image correlation
Journal name Engineering Fracture Mechanics   Check publisher's open access policy
ISSN 0013-7944
1873-7315
Publication date 2017-01-18
Year available 2017
Sub-type Article (original research)
DOI 10.1016/j.engfracmech.2016.12.022
Open Access Status Not yet assessed
Volume 173
Start page 107
End page 117
Total pages 11
Place of publication Kidlington, Oxford, United Kingdom
Publisher Pergamon Press
Language eng
Abstract The Double Cantilever Beam (DCB) test is the most widely used measurement technique for Mode I interlaminar fracture toughness of composite structures. However, the traditional testing methodology is based on the optical tracking of hand-marked scales on the specimen edge, which reduces its accuracy and makes it particularly dependent on human skills. Here, we present a novel Top Surface Analysis (TSA) method which overcomes these difficulties by analysing the top surface of DCB test samples via Digital Image Correlation. The automated measuring and data analysis procedure minimise the influence of human errors. This approach is able to simultaneously measure crack length and crack tip opening displacement. In order to verify the accuracy of the method, a comparison between TSA and conventional side-view evaluation methods was carried out on carbon and glass fibre reinforced composite laminates. The proposed method proves to be a promising tool to automate crack length measurements in arbitrary laminated structures and to provide more accurate fracture toughness properties for the prediction of damage tolerance in composite structures.
Keyword Composites
Delamination
Digital Image Correlation
R-curves
Q-Index Code C1
Q-Index Status Provisional Code
Institutional Status UQ

Document type: Journal Article
Sub-type: Article (original research)
Collections: School of Mechanical & Mining Engineering Publications
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