Abstract
This paper presents the application of a low-cost digital image correlation (DIC) system for automated crack mapping. The system employed makes use of a conventional digital camera, a remote image recording controller, and an open-source digital image correlation MATLAB software Ncorr. To showcase the potential of the proposed system, two case studies involving general structural and material testing were undertaken. In the first series, the DIC system was used to study the fracture processes in a reinforced concrete beam and to investigate the influence of key input parameters on the spatial quality of strain maps obtained from the DIC analysis. In the second series, the application of the DIC method was expanded to assist in the study of complex multiple micro-crack formations in ductile cement composite testing. It is shown that the strain maps obtained from the DIC technique have a close resemblance to the actual crack patterns
Highlights
Digital image correlation (DIC) is a non-contact measurement technique that can be used to track the full-field strain and displacement of a deforming object [1]
Current use of DIC in this field is, still limited to niche applications and its popularity has been partly hampered by the high initial cost of the system, typically in the range US$20k-70k [4]
The use of DIC has been largely confined to specialist research laboratories and test institutes
Summary
Digital image correlation (DIC) is a non-contact measurement technique that can be used to track the full-field strain and displacement of a deforming object [1]. Digital Image Correlation (DIC) is a non-contact technique that can be used to track the full-field displacement and strain on the surface of a specimen.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.