Digital Image Correlation for Cement-based Materials and Structural Concrete Testing

Authors

  • Asdam Tambusay Institute for Infrastructure and Environment, Heriot-Watt Univer¬sity, Edinburgh, UNITED KINGDOM.
  • Benny Suryanto Department of Civil Engineering, Sepuluh Nopember Institute of Technology, Surabaya, INDONESIA
  • Priyo Suprobo Department of Civil Engineering, Sepuluh Nopember Institute of Technology, Surabaya, INDONESIA

:

https://doi.org/10.9744/ced.22.1.6-12

Keywords:

Crack mapping, DIC, low-cost, Ncorr, strain field

Abstract

This paper presents the application of a low-cost digital image correlation (DIC) system for automated crack mapping. The system employed makes use of a conventional digital camera, a remote image recording controller, and an open-source digital image correlation MATLAB software Ncorr. To showcase the potential of the proposed system, two case studies involving general structural and material testing were undertaken. In the first series, the DIC system was used to study the fracture processes in a reinforced concrete beam and to investigate the influence of key input parameters on the spatial quality of strain maps obtained from the DIC analysis. In the second series, the application of the DIC method was expanded to assist in the study of complex multiple micro-crack formations in ductile cement composite testing. It is shown that the strain maps obtained from the DIC technique have a close resemblance to the actual crack patterns

References

Schreier, H., Orteu, J.J., and Sutton, M.A., Image Correlation for Shape, Motion and Deformation Measurements, s.l.: Springer, United States, 2009.

Peters, W. and Ranson, W.F., Digital Imaging Techniques in Experimental Stress Analysis, Optical Engineering, 21(3), 1982, pp. 213427-213427.

Sutton, M.A., Wolters, W.J., Peters, W.H., Ranson, W.F., and McNeil, S.R., Determination of Displacements using an Improved Digital Correlation Method, Image and Vision Computing, 3(1), 1983, pp. 133-139.

Mesocos s.r.o., DIC Measurements in Engineering Applications, Prague, 2015.

McCormick, N. and Lord, J., Digital Image Correlation for Structural Measurements, ICE Publishing, London, United Kingdom, 2012, pp. 185-190.

Gencturk, B., Hossain, K., Kapadia, A., Labib, E., and Mo, Y-L., Use of Digital Image Correlation Technique in Full-scale Testing of Prestressed Concrete Structures, Measurement, 47, 2014, pp. 505-515.

Reddy, K.C. and Subramaniam, K.V.L., Experimental Investigation of Crack Propagation and Post-cracking Behaviour in Macrosynthetic Fibre Reinforced Concrete, Magazine of Concrete Research, 69(9), 2017, pp. 467-478.

Blaber, J., Adair, B., and Antoniou, A., Ncorr: Open-source 2D Digital Image Correlation Matlab Software, Experimental Mechanics, 55(6), 2015, pp. 1105-1122.

Suryanto, B., Tambusay, A., and Suprobo, P., Crack Mapping on Shear-critical Reinforced Concrete Beams using an Open-Source Digital Image Correlation Software, Civil Engineering Dimension, 19(2), 2017, pp. 93-98.

Tambusay, A., Suryanto, B., and Suprobo, P., Visualization of Shear Cracks in a Reinforced Concrete Beam using the Digital Image Correlation, International Journal on Advanced Science, Engineering and Information Technology, 8(2), 2018, pp. 573-578.

Suryanto, B. and Staniforth, G., Monitoring the Shear Fatigue Response of Reinforced Concrete Beams Subjected to Moving Loads using Digital Image Correlation, Civil Engineering Dimension, 21(1), 2019, pp. 6-12.

Li, V.C., Engineered Cementitious Composites (ECC), Springer, Germany, https://link.springer. com/book/10.1007/978-3-662-58438-5.

Kanda, T., Tomoe, S., Nagai, S., Maruta, M., Kanakubo, T., and Shimizu, K., Full-scale Processing Investigation for ECC Precast Structural Element, Journal of Asian Architecture and Building Engineering, 5(2), 2006, pp. 333-340.

Suryanto, B., Reynaud, R., and Cockburn, B., Sectional Analysis of Engineered Cementitious Composite Beams, Magazine of Concrete Rese¬arch, 70(22), 2018, pp. 1135-1148.

McCormick, N. and Lord, J., Digital Image Correlation, materials today, 13(2), 2010, pp.52-54.

Ncorr version 1.2. Available at http://www.ncorr. com/download/ncorr_v1_2_1.zip

Harilal, R. and Ramji, M., Adaptation of Open-source 2D DIC Software Ncorr for Solid Mechanics Applications, 9th International Symposium on Advanced Science and Technology in Experimental Mechanics, New Delhi, India, November 1-6, 2014.

Downloads

Published

2020-05-19

How to Cite

Tambusay, A., Suryanto, B., & Suprobo, P. (2020). Digital Image Correlation for Cement-based Materials and Structural Concrete Testing. Civil Engineering Dimension, 22(1), 6-12. https://doi.org/10.9744/ced.22.1.6-12

Issue

Section

Articles

Most read articles by the same author(s)