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Updated: Jan 26, 2026
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Shrinkage of Dental Composite in Simulated Cavity Measured with Digital Image Correlation
Published on: July 21, 2014
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Detection of Delamination in Polymer Composites by Digital Image Correlation-Experimental Test
Gábor Szebényi1, Viktor Hliva2
1Department of Polymer Engineering, Faculty of Mechanical Engineering, Budapest University of Technology and Economics, H-1111 Budapest, Hungary. szebenyi@pt.bme.hu.
Polymers
|April 10, 2019
Summary
Digital Image Correlation (DIC) effectively detects internal damage in fiber-reinforced polymer composites. Strain mapping reveals delaminations, crucial for monitoring safety-critical structures.
Area of Science:
- Materials Science
- Mechanical Engineering
- Non-Destructive Testing
Background:
- Fiber-reinforced polymer composites are vital in safety-critical industries.
- Monitoring the structural integrity of these high-value components is essential.
- Digital Image Correlation (DIC) is a proven technique for full-field strain measurement.
Purpose of the Study:
- To evaluate the efficacy of DIC in detecting artificial internal damage within composite structures.
- To assess the capability of strain mapping for localizing delaminations.
- To validate DIC as a monitoring tool for fiber-reinforced polymer composites.
Main Methods:
- Fabrication of carbon or glass fabric reinforced epoxy specimens with artificial through-delaminations.
- Conducting tensile and compression tests on the prepared specimens.
- Utilizing a camera system to capture surface deformation images during testing for posterior analysis.
Main Results:
- DIC successfully generated full-field surface strain maps.
- Analysis of strain maps allowed for the localization of artificial delaminations.
- Distinct strain patterns were observed in damaged zones compared to intact areas.
Conclusions:
- Digital Image Correlation is an effective method for detecting internal delaminations in fiber-reinforced polymer composites.
- Strain mapping via DIC can pinpoint the approximate locations of structural damage.
- This technique supports condition monitoring for critical composite structures.
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