MatrixCraCS: Automated tracking of matrix crack development in GFRP laminates undergoing large tensile strains
Source abstract
Abstract
A novel image processing method for tracking development of matrix cracks in glass-fibre reinforced polymer (GFRP) laminates is presented. Images are acquired in a quasi-static tension test using transillumination white light imaging. These images show changes occurring due to developing damage. The method, called MatrixCraCS, tracks and quantifies matrix cracks while compensating for large specimen deformation and stitching threads, which obscure crack development and seriously impact crack detection. Matrix cracks are tracked via a sequential image difference and morphological filtering is used to detect cracks. MatrixCraCS is verified against synthetic images and shows an error of less than 7% in the quantified length of cracks and 0% detection failures. MatrixCraCS is validated against experimental results for a [±452°902°]S GFRP laminate, where microscopic analysis shows 5.92% error in crack detection. Error relative to manual crack tracking are quantified for detection failures and false positives as 3.3% and 1.57%, respectively. It is found that the method accurately quantifies cracks in GFRP laminates subject to large deformation and is robust against noise.
Source: openalex_inverted_index · Quality: baseline
Research context
OpenAlex topics: Infrastructure Maintenance and Monitoring · Non-Destructive Testing Techniques · Structural Health Monitoring Techniques
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
References (26)
Show source-provided references
1. Analysis of progressive matrix cracking in composite laminates II. First ply failure10.1177/002199838702100402 ↗
2. Modelling of fatigue crack tunneling and delamination in layered composites10.1016/j.compositesa.2005.09.006 ↗
3. Transverse ply cracking in cross-ply CFRP laminates - initiation or propagation controlled?10.1177/002199839703101102 ↗
4. Experimental investigation on damage evolution in cross-ply laminates subjected to quasi-static and fatigue loading10.1016/j.compositesb.2017.02.033 ↗
5. Talreja · 2016 · number 65
6. Transverse cracking and delamination in cross-ply glass-fiber and carbon-fiber reinforced plastic laminates: Static and fatigue loading10.1115/1.1519557 ↗
7. Automated crack detection in laminated composites by optical flow measurements10.1016/j.compositesb.2023.110599 ↗
8. Three dimensional fatigue damage evolution in non-crimp glass fibre fabric based composites used for wind turbine blades10.1016/j.compscitech.2017.10.004 ↗
9. Successes and challenges in non-destructive testing of aircraft composite structures10.1016/j.cja.2019.09.017 ↗
10. Automated counting of off-axis tunnelling cracks using digital image processing10.1016/j.compscitech.2016.01.019 ↗
11. Optical high dynamic range acquisition of crack density evolution in cyclic loaded GFRP cross-ply laminates affected by stitching10.1016/j.compositesa.2018.05.032 ↗
12. Experimental analysis of matrix cracking in glass fiber reinforced composite off-axis plies under static and fatigue loading10.3390/polym14112160 ↗
13. Fatigue damage in angle-ply GFRP laminates under tension-tension fatigue10.1016/j.ijfatigue.2017.12.015 ↗
14. Comparing crack density and dissipated energy as measures for off-axis damage in composite laminates10.1016/j.ijfatigue.2022.107486 ↗
15. Selective laser illumination method for enhanced damage monitoring of micro cracking and delamination in GFRP laminates10.1016/j.polymertesting.2017.11.022 ↗
16. Multi-scale digital image correlation for detection and quantification of matrix cracks in carbon fiber composite laminates in the absence and presence of voids controlled by the cure cycle10.1016/j.compositesb.2018.07.006 ↗
17. Transverse cracking in the bulk and at the free edge of thin-ply composites: experiments and multiscale modelling10.1016/j.compositesa.2019.05.036 ↗
18. Fracture mechanics testing of fiber-reinforced polymer composites: The effects of the “human factor” on repeatability and reproducibility of test data10.1016/j.engfracmech.2022.108340 ↗
19. Crack detection using image processing: A critical review and analysis10.1016/j.aej.2017.01.020 ↗
20. A threshold selection method from gray level histograms10.1109/TSMC.1979.4310076 ↗
21. A method for automated digital image-based tracking of delamination fronts in translucent glass fibre-laminated composite materials10.1111/str.12345 ↗
22. Effect of variable amplitude block loading on intralaminar crack initiation and propagation in multidirectional GFRP laminate10.1016/j.compositesb.2021.108905 ↗
23. Intralaminar crack growth rates of a glass fibre multiaxial laminate subjected to variable amplitude loading10.1016/j.compositesb.2023.110510 ↗
24. On the use of simulated experiments in designing tests for material characterization from full-field measurements10.1016/j.ijsolstr.2011.09.025 ↗
25. Identification of orthotropic elastic properties of wood by a synthetic image approach based on digital image correlation
26. J.B. MacQueen, Some methods for classification and analysis of multivariate observations, in: Proceedings of the Fifth Berkeley Symposium on Mathematical Statistics and Probability, Vol. 1, 1967, pp. 281–297.