Deformation field and crack analyses of concrete using digital image correlation method

Yijie HUANG , Xujia HE , Qing WANG , Jianzhuang XIAO

Front. Struct. Civ. Eng. ›› 2019, Vol. 13 ›› Issue (5) : 1183 -1199.

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Front. Struct. Civ. Eng. ›› 2019, Vol. 13 ›› Issue (5) : 1183 -1199. DOI: 10.1007/s11709-019-0545-3
RESEARCH ARTICLE
RESEARCH ARTICLE

Deformation field and crack analyses of concrete using digital image correlation method

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Abstract

The study on the deformation distribution and crack propagation of concrete under axial compression was conducted by the digital image correlation (DIC) method. The main parameter in this test is the water-cement (W/C) ratio. The novel analysis process and numerical program for DIC method were established. The displacements and strains of coarse aggregate, and cement mortar and interface transition zone (ITZ) were obtained and verified by experimental results. It was found that the axial displacement distributed non-uniformly during the loading stage, and the axial displacements of ITZs and cement mortar were larger than that of coarse aggregates before the occurrence of macro-cracks. The effect of W/C on the horizontal displacement was not obvious. Test results also showed that the transverse and shear deformation concentration areas (DCAs) were formed when stress reached 30%–40% of the peak stress. The transverse and shear DCAs crossed the cement mortar, and ITZs and coarse aggregates. However, the axial DCA mainly surrounded the coarse aggregate. Generally, the higher W/C was, the more size and number of DCAs were. The crack propagations of specimens varied with the variation of W/C. The micro-crack of concrete mainly initiated in the ITZs, irrespective of the W/C. The number and distribution range of cracks in concrete with high W/C were larger than those of cracks in specimen adopting low W/C. However, the value and width of cracks in high W/C specimen were relatively small. The W/C had an obvious effect on the characteristics of concrete deterioration. Finally, the characteristics of crack was also evaluated by comparing the calculated results.

Keywords

deformation filed distribution / crack development / digital image correlation method / mechanical properties / water-cement ratio / characteristics of deformation and crack

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Yijie HUANG, Xujia HE, Qing WANG, Jianzhuang XIAO. Deformation field and crack analyses of concrete using digital image correlation method. Front. Struct. Civ. Eng., 2019, 13(5): 1183-1199 DOI:10.1007/s11709-019-0545-3

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References

[1]

Xiao J Z, Li J B, Zhang C. Mechanical properties of recycled aggregate concrete under uniaxial loading. Cement and Concrete Research, 2005, 35(6): 1187–1194

[2]

Komlos K. ̆Popovics S, Nurnbergerova T, Babál B, Popovics J S. Ultrasonic pulse velocity test of concrete properties as specified in various standards. Cement and Concrete Composites, 1996, 18(5): 357–364

[3]

Ohtsu M, Watanabe H. Quantitative damage estimation of concrete by acoustic emission. Construction & Building Materials, 2001, 15(5–6): 217–224

[4]

Morgan D R. Compatibility of concrete repair materials and systems. Construction & Building Materials, 1996, 10(1): 57–67

[5]

Atsushi I, Yoshimitsu A, Shuji H. Accurate extraction and measurement of fine cracks from concrete block surface image. In: IEEE the 28th Annual Conference of the Industrial Electronics Society. Sevilla: Institute of Electrical and Electronics Engineers, 2002, 2202–2207

[6]

Vieira Filho J, Baptista F G, Inman D J. Time-domain analysis of piezoelectric impedance-based structure health monitoring using multilevel wavelet decomposition. Mechanical Systems and Signal Processing, 2011, 25(5): 1550–1558

[7]

Nanni A, Yang C, Pan K. Fiber-optic sensors for concrete strain/stress measurement. ACI Materials Journal, 1991, 88(3): 255–265

[8]

Bolhassani M, Hamid A A, Rajaram S, Vanniamparambil P A, Bartoli I, Kontsos A. Failure analysis and damage detection of partially grouted masonry walls by enhancing deformation measurement using DIC. Engineering Structures, 2017, 134: 262–275

[9]

Sutton M A, Orteu J J, Schreier H W. Image Correlation For Shape, Motion and Deformation Measurements: Basic Concepts, Theory and Applications. Boston: Springer, 2009

[10]

Chu T C, Ranson W F, Sutton M A. Applications of digital-image correlation techniques to experimental mechanics. Experimental Mechanics, 1985, 25(3): 232–244

[11]

Peters L W H, Ranson W F. Digital imaging techniques in experimental stress analysis. Optical Engineering (Redondo Beach, Calif.), 1982, 21(3): 427–431

[12]

Dong W, Wu Z M, Zhou X M, Dong L H, Kastiukas G. FPZ evolution of mixed mode fracture in concrete: Experimental and numerical. Engineering Failure Analysis, 2017, 75: 54–70

[13]

Dong W, Yang D, Zhou X, Kastiukas G, Zhang B. Experimental and numerical investigations on fracture process zone of rock-concrete interface. Fatigue & Fracture of Engineering Materials & Structures, 2017, 40(5): 820–835

[14]

Doll B, Ozer H, Rivera-Perez J J, Al-Qadi I L, Lambros J. Investigation of viscoelastic fracture fields in asphalt mixtures using digital image correlation. International Journal of Fracture, 2017, 205(1): 37–56

[15]

Destrebecq J F, Toussaint E, Ferrier E. Analysis of cracks and deformations in a full scale reinforced concrete beam using a digital image correlation technique. Experimental Mechanics, 2011, 51(6): 879–890

[16]

Tung S H, Weng M C, Shih M H. Measuring the in situ deformation of retaining walls by the digital image correlation method. Engineering Geology, 2013, 166: 116–126

[17]

Choi S, Shah S P. Measurement of deformations on concrete subjected to compression using image correlation. Experimental Mechanics, 1997, 6(3): 307–313

[18]

Shah S G, Chandra Kishen J M. Fracture properties of concrete-concrete interfaces using digital image correlation. Experimental Mechanics, 2011, 51(3): 303–313

[19]

Mao K, Jun M, Shinobu N, Wu Z. Study of image analysis methods for measuring crack propagation in concrete. Journal of Applied Mechanics, 2014, 70(2): 135–144

[20]

Wu B, Liu C, Wu Y P. Compressive behaviors of cylindrical concrete specimens made of demolished concrete blocks and fresh concrete. Construction & Building Materials, 2014, 53: 118–130

[21]

Hilal A A, Thom N H, Dawson A R. Failure mechanism of foamed concrete made with/without additives and lightweight aggregate. Journal of Applied Mechanics, 2016, 14(9): 511–520

[22]

Li W G, Sun Z, Luo Z, Shah S P. Influence of relative mechanical strength between new and old cement mortars on the crack propagation of recycled aggregate concrete. Journal of Advanced Concrete Technology, 2017, 15(3): 110–125

[23]

Li W, Long C, Tam V W Y, Poon C S, Duan W H. Effects of nano-particles on failure process and microstructural properties of recycled aggregate concrete. Construction & Building Materials, 2017, 142: 42–50

[24]

Maruyama I, Sasano H. Strain and crack distribution in concrete during drying. Materials and Structures, 2014, 47(3): 517–532

[25]

Russell S J, Norvig P. 2nd ed. Artificial Intelligence: A Modern Approach. New Jersey: Prentice Hall, 2003

[26]

Bruck H A, McNeill S R, Sutton M A, Peters W H III. Digital image correlation using Newton-Raphson method of partial differential correction. Experimental Mechanics, 1989, 29(3): 261–267

[27]

Sutton M A, Turner J L, Bruck H A, Chae T A. Full field representation of discrete sampled surface deformation for displacement and strain analysis. Experimental Mechanics, 1991, 31(2): 168–177

[28]

Craven P, Wahba G. Smoothing noisy data with spline functions. Numerische Mathematik, 1978, 31(4): 377–403

[29]

Pang X, Xie H M. Full field strain measurement based on least square fitting of local displacement for digital image correlation method. Acta Optica Sinica, 2007, 27(11): 1980–1986 (in Chinese)

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