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

https://doi.org/10.17350/HJSE19030000298

Cited By: 1

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.

Keywords

ECC, DIC, resolution, tensile, strain, crack

Supporting Institution

The scientific and technological research council of Turkey (TUBİTAK)

Project Number

115R012

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.

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
• 2. Li VC. From micromechanics to structural engineering the design 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.