Volume 20, Issue 4 (April 2020)                   Modares Mechanical Engineering 2020, 20(4): 1025-1031 | Back to browse issues page

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Pakravan M, Farahani M. Evaluation of Damage in Composite Laminated Sheets with Circular Defects under Tensile Loading Using Digital Image Correlation Method. Modares Mechanical Engineering 2020; 20 (4) :1025-1031
URL: http://mme.modares.ac.ir/article-15-32864-en.html
1- Mechanical Engineering Faculty, Colleges of Engineering, University of Tehran, Tehran, Iran
2- Mechanical Engineering Faculty, Colleges of Engineering, University of Tehran, Tehran, Iran , mrfarahani@ut.ac.ir
Abstract:   (1899 Views)
Nowadays, the use of a non-contact digital imaging system for non-destructive testing on composite materials has received much attention because of its advantages. In this research, the shape, position and area of ​​the breakdown region in glass/epoxy samples with blind holes and different depths under tensile loading have been investigated using a non-contact digital imaging system. Specimens with a 10 mm diameter blind, depths of 0.5, 1 and 1.5 mm, and an average thickness of 4 mm have been subjected to the tensile loading. Lateral strain contours for all three samples have been obtained at different loads. By increasing the lateral strain loading, it focuses on an area on the surface of each specimen that corresponds to the position of the blind hole. Then the lateral strain is measured separately in length and width for each specimen. Increasing the amount of loading and the depth of the breakdown have resulted in greater strain concentration in the breakdown area as well as increasing the accuracy of the digital images correlation system. The position, shape, area, and diameter of the blind hole measured by digital image correlation method have been compared with real values, which considering the acceptable consistency of the results of the digital image correlation method with the features of each sample, It can be used as an efficient method for detecting and evaluating failures in composite structures.
Full-Text [PDF 573 kb]   (850 Downloads)    
Article Type: Original Research | Subject: Non Destructive Test
Received: 2019/05/11 | Accepted: 2019/09/29 | Published: 2020/04/17

1. Rahmatabadi D, Shahmirzaloo A, Farahani MR, Hashemi R. Evaluation of the elastic and plastic properties of aluminum sheet produced by climbing bonding process by digital image correlation method. Modares Mechanical Engineering. 2019;19(2):505-513. [Persian] [Link]
2. Akbari D, Soltani N, Farahani M. Numerical and experimental investigation of defect detection in polymer materials by means of digital shearography with thermal loading. Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture. 2013;227(3):430-442. [Link] [DOI:10.1177/0954405412473054]
3. Rahmatabadi D, Shahmirzaloo A, Farahani MR, Tayyebi M, Hashemi R. Characterizing the elastic and plastic properties of the multilayered Al/Brass composite produced by ARB using DIC. Materials Science and Engineering: A. 2019;753:70-78. [Link] [DOI:10.1016/j.msea.2019.03.002]
4. Sam-Daliri O, Faller LM, Farahani M, Roshanghias A, Araee A, Baniassadi M, et al. Impedance analysis for condition monitoring of single lap CNT-epoxy adhesive joint. International Journal of Adhesion and Adhesives. 2019;88:59-65. [Link] [DOI:10.1016/j.ijadhadh.2018.11.003]
5. Ghabezi P, Farahani M, Shahmirzaloo A, Ghorbani H, Harrison NM. Defect evaluation of the honeycomb structures formed during the drilling process. International Journal of Damage Mechanics. 2019;29(3):454-466. [Link] [DOI:10.1177/1056789519860573]
6. Ghabezi P, Farahani M. Characterization of cohesive model and bridging laws in mode I and II fracture in nano composite laminates. Journal of Mechanical Engineering and Sciences. 2018;12(4):4329-4355. [Link]
7. Sabokrouh M, Farahani M. Experimental study of the residual stresses in girth weld of natural gas transmission pipeline. Journal of Applied and Computational Mechanics. 2019;5(2):199-206. [Link]
8. Sam-Daliri O, Faller LM, Farahani M, Roshanghias A, Oberlercher H, Mitterer T, et al. MWCNT-epoxy nanocomposite sensors for structural health monitoring. Electronics. 2018;7(8):143. [Link] [DOI:10.3390/electronics7080143]
9. Venkatachalam S, Khaja Mohiddin SM, Murthy H. Determination of damage evolution in CFRP subjected to cyclic loading using DIC. Fatigue & Fracture of Engineering Materials & Structures. 2018;41(6):1412-1425. [Link] [DOI:10.1111/ffe.12786]
10. Devivier C, Thompson D, Pierron F, Wisnom MR. Correlation between full-field measurements and numerical simulation results for multiple delamination composite specimens in bending. Applied Mechanics and Materials. 2010;24-25:109-114. [Link] [DOI:10.4028/www.scientific.net/AMM.24-25.109]
11. Devivier C, Pierron F, Wisnom MR. Damage detection in composite materials using deflectometry, a full-field slope measurement technique. Composites Part A: Applied Science and Manufacturing. 2012;43(10):1650-1666. [Link] [DOI:10.1016/j.compositesa.2011.11.009]
12. del Rey Castillo E, Allen T, Henry R, Griffith M, Ingham J. Digital image correlation(DIC) for measurement of strains and displacements in coarse, low volume-fraction FRP composites used in civilinfrastructure. Composite Structures. 2019;212:43-57. [Link] [DOI:10.1016/j.compstruct.2019.01.024]
13. Shrama K, Al-Jumaili S, Pullin R, Clarke A, Evans S. On the use of acoustic emission and digital image correlation for welded joints damage characterization. Journal of Applied and Computational Mechanics. 2019;5(2):381-389. [Link]
14. Laurin F, Charrier JS, Lévêque D, Maire JF, Mavel A, Nuñez P. Determination of the properties of composite materials thanks to digital image correlation measurements. Procedia IUTAM. 2012;4:106-115. [Link] [DOI:10.1016/j.piutam.2012.05.012]
15. Caminero MA, Lopez-Pedrosa M, Pinna C, Soutis C. Damage monitoring and analysis of composite laminates with an open hole and adhesively bonded repairs using digital image correlation. Composites Part B: Engineering. 2013;53:76-91. [Link] [DOI:10.1016/j.compositesb.2013.04.050]
16. Khechai A, Tati A, Guerira B, Guettala A, Mohite PM. Strength degradation and stress analysis of composite plates with circular,square and rectangular notches using digital image correlation. Composite Structures. 2018;185:699-715. [Link] [DOI:10.1016/j.compstruct.2017.11.060]
17. Sabato A, Niezrecki C. Feasibility of digital image correlation for railroad tie inspection and ballast support assessment. Measurement. 2017;103:93-105. [Link] [DOI:10.1016/j.measurement.2017.02.024]
18. Szebényi G, Hliva V. Detection of delamination in polymer composites by digital image correlation-experimental test. Polymers. 2019;11(3):523. [Link] [DOI:10.3390/polym11030523]
19. Shahmirzaloo A, Farahani M. Determination of local constitutive properties of aluminum using digital image correlation: A comparative study between uniform stress and virtual fields. International Journal of Advanced Design & Manufacturing Technology. 2019;12(1):67-75. [Link]
20. Rahmatabadi D, Shahmirzaloo A, Hashemi R, Farahani M. Using digital image correlation for characterizing the elastic and plastic parameters of ultrafine-grained Al 1050 strips fabricated via accumulative roll bonding process. Materials Research Express. 2019;6(8). [Link] [DOI:10.1088/2053-1591/ab18c3]

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