Abstract
Three-dimensional digital image correlation (3D-DIC) is widely used in measuring the displacement and strain distribution due to its non-connected, high-accuracy and non-destructive property. In this paper, 3D-DIC method is used to study the bond performance between the bonded fiber-reinforced polymer (FRP) sheet and the concrete block during a single shear test. The strain distribution in FRP sheet during the whole loading process is obtained with DIC method. Based on the measured strain distribution, the local bond–slip behavior of FRP–concrete interface can be further analyzed. Therefore, the feasibility of the 3D-DIC system applied in experimental studies on the mechanical properties of civil engineering structures is proved.
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References
Yamaguchi, I.: A laser-speckle strain gauge. J. Phys. E: Sci. Instrum. 14(11), 1270 (2000)
Peters, W.H.: Digital imaging technique in experimental stress analysis. J. Opt. Eng. 21(3), 427–431 (1982)
Sutton, M.A., Yan, J.H., Tiwari, V., et al.: The effect of out-of-plane motion on 2D and 3D digital image correlation measurements. J. Opt. Lasers Eng. 46(10), 746–757 (2008)
Luo, P.F., Chao, Y.J., Sutton, M.A., et al.: Accurate measurement of three-dimensional deformations in deformable and rigid bodies using computer vision. Exp. Mech. 33(2), 123–132 (1993)
Chao, Y.J.: Application of stereo vision to three-dimensional deformation analyses in fracture experiments. J. Opt. Eng. 33(3), 981 (1994)
Chen, Y.J., Sun, S.J., Ji, C.M.: Development and application of 3D digital image correlation (3D DIC) in deformation measurement of materials. J. Aeronaut. Mater. 37(4), 90–100 (2017)
Hore, S., Chatterjee, S., et al.: Neural-based prediction of structural failure of multi-storied RC buildings. Struct. Eng. Mech. 58(3), 459–473 (2016)
Chatterjee, S., Sarkar, S., et al.: Structural failure classification for reinforced concrete buildings using trained neural network based multi-objective genetic algorithm. Struct. Eng. Mech. 63(4) (2017)
Dai, S.H., Dong, Y.F.: Study on virtual photoelasticity experiment. J. Liaoning Tech. Univ. (2011)
Pan, Z.J.: Experimental Research on the Bond Behavior Between CFRP and Corroded Reinforced Concrete. Shenzhen University, Shenzhen (2018)
Acknowledgements
The authors would like to gratefully acknowledge the National Natural Science Foundation of China (Grant nos 51678365, 51708359, and 51878415), the Shenzhen Science, Technology and Innovation Commission (SZSTI) Basic Research Program (no. JCYJ20170818100641730, 20170817102125407), and the Scientific Research Startup Fund of Shenzhen University (Grant no. 2016067) for financial support on this study.
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Mei, L., Guo, S., Shi, T., Pan, Z., Li, W., Xing, F. (2020). 3D-DIC Technique for Strain Measurement in FRP Strip Externally Bonded to Concrete Specimens. In: Kountchev, R., Patnaik, S., Shi, J., Favorskaya, M. (eds) Advances in 3D Image and Graphics Representation, Analysis, Computing and Information Technology. Smart Innovation, Systems and Technologies, vol 180. Springer, Singapore. https://doi.org/10.1007/978-981-15-3867-4_1
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DOI: https://doi.org/10.1007/978-981-15-3867-4_1
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