Effect of Camera Resolution on the Determination of Mechanical and Multiple Crack Properties of Engineered Cementitious Composites via Digital Image Correlation
Year 2023,
, 117 - 124, 30.06.2023
Eren Gödek
Kamile Tosun Felekoğlu
Abstract
In this study, the effect of image resolution on the determination of mechanical parameters and multiple crack properties of Engineered Cementitious Composites (ECC) was investigated by digital image correlation (DIC). For this purpose, low and high resolution images were captured during the tensile loading of ECC by using two cameras simultaneously. DIC analyzes were performed on the images and results were compared both within themselves and with the traditional method. Mechanical parameters have been successfully calculated with DIC analysis and consistent values obtained with traditional methodology. However, high resolution images were found to be more effective for detecting pattern properties than low resolution images. It resulted in low strain error when using high resolution images compared to low resolution images in DIC analysis. Finally, when the high resolution images were used in DIC analysis as opposed to the low resolution images, both the detected number of cracks and calculated crack widths were obtained accurately. This situation was proven by local strain maps provided by DIC.
Supporting Institution
The scientific and technological research council of Turkey (TUBİTAK)
Thanks
This study was prepared within the scope of the doctoral thesis of the corresponding author. We would like to thank TUBITAK (project no: 115R012) for the experimental devices used in the thesis.
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Year 2023,
, 117 - 124, 30.06.2023
Eren Gödek
Kamile Tosun Felekoğlu
References
- 1. Ding Y, Yu K, Li M. A review on high-strength engineered
cementitious composites (HS-ECC): Design, mechanical
property and structural application. Structures 2022;35:903-921.
doi:10.1016/j.istruc.2021.10.036
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of cementitious composites for civil engineering applications.
Doboku Gakkai Ronbunshu 1993;471:1-12. doi: 10.2208/
jscej.1993.471_1
- 3. Kraft T, Riczo MJ, Chong A. Digital Image Correlation System
Design, Verification and Analysis [internet]. Williams Honors
College Honors Research Projects; 2022 [Date of access: 21.06.2023].
Erişim adresi: https://ideaexchange.uakron.edu/honors_research_
projects/1555
- 4. Aghlara R, Tahir MM. Measurement of strain on concrete using
an ordinary digital camera. Measurement 2018;126:398-404.
doi:10.1016/j.measurement.2018.05.066
- 5. Alam SY, Loukili A, Grondin F. Monitoring size effect on crack
opening in concrete by digital image correlation. European journal
of environmental and civil engineering 2012;16(7):818-836. doi:
10.1080/19648189.2012.672211
- 6. Peters W, Ranson WF. Digital Imaging Techniques in Experimental
Stress Analysis. Optical Engineering 1982;21(3):213427-213427.
doi:10.1117/12.7972925
- 7. Sutton MA, Wolters WJ, Peters WH, Ranson WF, McNeil SR.
Determination of Displacements using an Improved Digital
Correlation Method. Image and Vision Computing 1983;3(1):133-
139. doi:10.1016/0262-8856(83)90064-1
- 8. Choi S, Shah SP. Measurement of deformations on concrete
subjected to compression using image correlation. Experimental
mechanics 1997;37(3):307-313.
- 9. Sutton MA, Orteu JJ, Schreier H. Image correlation for shape,
motion and deformation measurements: Basic concepts, theory and
applications. Boston: Springer Science & Business Media; 2009.
- 10. Mahal M, Blanksvärd T, Täljsten B, Sas G. Using digital image
correlation to evaluate fatigue behavior of strengthened reinforced
concrete beams. Engineering Structures 2015;105:277-288.
doi:10.1016/j.engstruct.2015.10.017
- 11. Ohno M, Li VC. A feasibility study of strain hardening fiber
reinforced fly ash-based geopolymer composites. Construction
and Building Materials 2014;57:163-168. doi:10.1016/j.
conbuildmat.2014.02.005
- 12. Felekoglu B, Keskinates M. Multiple cracking analysis of HTPPECC
by digital image correlation method. Computers and Concrete
2016;17(6):831-848.
- 13. Yu KQ, Yu JT, Dai JG, Lu ZD, Shah SP. Development of ultrahigh
performance engineered cementitious composites using
polyethylene (PE) fibers. Construction and Building Materials
2018;158:217-227. doi:10.1016/j.conbuildmat.2017.10.040
- 14. Nwanoro K, Harrison P, Lennard F. Investigating the accuracy
of digital image correlation in monitoring strain fields across
historical tapestries. Strain 2022;58(1):e12401. doi:10.1111/str.12401
- 15. Reu PL, Sweatt W, Miller T, Fleming D. Camera system resolution
and its influence on digital image correlation. Experimental
Mechanics 2015;55(1):9-25. doi:10.1007/s11340-014-9886-y
- 16. Tambusay A, Suryanto B, Suprobo P. Digital image correlation
for cement-based materials and structural concrete testing. Civil
Engineering Dimension 2020;22(1):6-12. doi:10.9744/ced.22.1.6-12
- 17. Gehri N, Mata-Falcón J, Kaufmann W. Automated crack detection
and measurement based on digital image correlation. Construction
and Building Materials 2020;256:119383. doi:10.1016/j.
conbuildmat.2020.119383
- 18. Zhou J, Qian S, Sierra Beltran MG, Ye G, van Breugel K, Li
VC. Development of engineered cementitious composites with
limestone powder and blast furnace slag. Materials and structures
2010;43(6):803-814. doi:10.1617/s11527-009-9549-0
- 19. Japan Society of Civil Engineers (JSCE). Recommendations for
Design and Construction of High Performance Fiber Reinforced
Cement Composites with Multiple Fine Cracks (HPFRCC).
Concrete Engineering Series 82; 2008.