Mesoscale Damage Detection and Surface Deterioration of Freeze–Thawed Concrete Cores Using 3D CT Scanning and Roughness Quantification
Publication: Journal of Materials in Civil Engineering
Volume 36, Issue 3
Abstract
The durability of bridges plays a vital role in their regular operation and transportation, particularly as service life increases. The ability of a bridge to reach its expected service life is closely linked to its durability. In cold regions, the deterioration of bridge concrete durability due to freeze-thaw damage is a common cause of failure, posing a threat to structural safety. In this study, a highway bridge over a sluice that was built 63 years ago was selected for coring and freeze-thaw testing. Two nondestructive testing methods were employed: three-dimensional optical scanning and X-ray computed tomography (X-CT). The former was used to observe and analyze the external surface of the concrete, while the latter was used to analyze its internal structure. The surface morphology was characterized using height, spatial, hybrid parameters, and fractal dimension, and the Abbott–Firestone curve reflected the profile characteristics of the material surface. Moreover, the internal components of concrete were identified and reconstructed in three dimensions based on threshold segmentation, and the changes in internal porosity, pore fractal dimension, and pore size distribution were calculated. Finally, the evolution of bandwidth in the color heat map was analyzed, combining the gray level cooccurrence matrix (GLCM) to reflect the growth of cracks and defects with freeze-thaw cycles.
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Data Availability Statement
Some or all data, models, or code that support the findings of this study are available from the corresponding author upon reasonable request.
Acknowledgments
The authors would like to acknowledge the support of the National Natural Science Foundation of China (Grant No. 51979090) and the National Key R&D Program of China (Grant No. 2021YFB2600200).
References
Balázs, G. L., É. Lublóy, and T. Földes. 2018. “Evaluation of concrete elements with X-ray computed tomography.” J. Mater. Civ. Eng. 30 (9): 06018010. https://doi.org/10.1061/(ASCE)MT.1943-5533.0002389.
Dong, Y., C. Su, P. Qiao, and L. Sun. 2020. “Microstructural crack segmentation of three-dimensional concrete images based on deep convolutional neural networks.” Constr. Build. Mater. 253 (Aug): 119185. https://doi.org/10.1016/j.conbuildmat.2020.119185.
Farahani, B. V., F. Barros, P. J. Sousa, P. P. Cacciari, P. J. Tavares, M. M. Futai, and P. Moreira. 2019. “A coupled 3D laser scanning and digital image correlation system for geometry acquisition and deformation monitoring of a railway tunnel.” Tunnelling Underground Space Technol. 91 (Sep): 102995. https://doi.org/10.1016/j.tust.2019.102995.
Kabir, S. 2010. “Imaging-based detection of AAR induced map-crack damage in concrete structure.” NDT & E Int. 43 (6): 461–469. https://doi.org/10.1016/j.ndteint.2010.04.007.
Kim, M.-K., J. C. P. Cheng, H. Sohn, and C.-C. Chang. 2015. “A framework for dimensional and surface quality assessment of precast concrete elements using BIM and 3D laser scanning.” Autom. Constr. 49 (Jan): 225–238. https://doi.org/10.1016/j.autcon.2014.07.010.
Kim, M.-K., Q. Wang, S. Yoon, and H. Sohn. 2019. “A mirror-aided laser scanning system for geometric quality inspection of side surfaces of precast concrete elements.” Measurement 141 (Mar): 420–428. https://doi.org/10.1016/j.measurement.2019.04.060.
Liu, J., R. Jiang, J. Sun, P. Shi, and Y. Yang. 2017. “Concrete damage evolution and three-dimensional reconstruction by integrating CT test and fractal theory.” J. Mater. Civ. Eng. 29 (9): 04017122. https://doi.org/10.1061/(ASCE)MT.1943-5533.0001932.
Lorenzoni, R., I. Curosu, F. Léonard, S. Paciornik, V. Mechtcherine, F. A. Silva, and G. Bruno. 2020. “Combined mechanical and 3D-microstructural analysis of strain-hardening cement-based composites (SHCC) by in-situ X-ray microtomography.” Cem. Concr. Res. 136 (Feb): 106139. https://doi.org/10.1016/j.cemconres.2020.106139.
Mao, L., H. Liu, Y. Wang, L. Ding, Y. Ju, and F.-P. Chiang. 2021. “3-D strain estimation in sandstone using improved digital volumetric speckle photography algorithm.” Int. J. Rock Mech. Min. Sci. 141 (Mar): 104736. https://doi.org/10.1016/j.ijrmms.2021.104736.
Nguyen, T., A. Ghazlan, A. Kashani, S. Bordas, and T. Ngo. 2018. “3D meso-scale modelling of foamed concrete based on X-ray computed tomography.” Constr. Build. Mater. 188 (Nov): 583–598. https://doi.org/10.1016/j.conbuildmat.2018.08.085.
Popescu, C., B. Täljsten, T. Blanksvärd, and L. Elfgren. 2019. “3D reconstruction of existing concrete bridges using optical methods.” Struct. Infrastruct. Eng. 15 (7): 912–924. https://doi.org/10.1080/15732479.2019.1594315.
Ren, W., Z. Yang, R. Sharma, C. Zhang, and P. J. Withers. 2015. “Two-dimensional X-ray CT image based meso-scale fracture modelling of concrete.” Eng. Fract. Mech. 133 (May): 24–39. https://doi.org/10.1016/j.engfracmech.2014.10.016.
Ríos, J. D., H. Cifuentes, C. Leiva, and S. Seitl. 2019. “Analysis of the mechanical and fracture behavior of heated ultra-high-performance fiber-reinforced concrete by X-ray computed tomography.” Cem. Concr. Res. 119 (May): 77–88. https://doi.org/10.1016/j.cemconres.2019.02.015.
Sadowski, Ł., and T. G. Mathia. 2016. “Multi-scale metrology of concrete surface morphology: Fundamentals and specificity.” Constr. Build. Mater. 113 (May): 613–621. https://doi.org/10.1016/j.conbuildmat.2016.03.099.
Sadowski, Ł., and T. G. Mathia. 2020. “Automated in-situ metrology of the areal morphogenetic transition of cement mortar at early ages.” Measurement 151 (Feb): 107234. https://doi.org/10.1016/j.measurement.2019.107234.
Sadowski, Ł., M. Popek, S. Czarnecki, and T. G. Mathia. 2017. “Morphogenesis in solidification phases of lightweight concrete surface at early ages.” Constr. Build. Mater. 148 (Sep): 96–103. https://doi.org/10.1016/j.conbuildmat.2017.05.026.
Shang, X., J. Yang, S. Wang, and M. Zhang. 2021. “Fractal analysis of 2D and 3D mesocracks in recycled aggregate concrete using X-ray computed tomography images.” J. Cleaner Prod. 304 (Jul): 127083. https://doi.org/10.1016/j.jclepro.2021.127083.
Shen, Y., H. Yang, J. Xi, Y. Yang, Y. Wang, and X. Wei. 2020. “A novel shearing fracture morphology method to assess the influence of freeze–thaw actions on concrete–granite interface.” Cold Reg. Sci. Technol. 169 (Jan): 102900. https://doi.org/10.1016/j.coldregions.2019.102900.
Shields, Y., E. Garboczi, J. Weiss, and Y. Farnam. 2018. “Freeze-thaw crack determination in cementitious materials using 3D X-ray computed tomography and acoustic emission.” Cem. Concr. Compos. 89 (May): 120–129. https://doi.org/10.1016/j.cemconcomp.2018.03.004.
Skarżyński, Ł., I. Marzec, and J. Tejchman. 2019. “Fracture evolution in concrete compressive fatigue experiments based on X-ray micro-CT images.” Int. J. Fatigue 122 (May): 256–272. https://doi.org/10.1016/j.ijfatigue.2019.02.002.
Stamati, O., E. Roubin, E. Andò, and Y. Malecot. 2019. “Tensile failure of micro-concrete: From mechanical tests to FE meso-model with the help of X-ray tomography.” Meccanica 54 (4): 707–722. https://doi.org/10.1007/s11012-018-0917-0.
Sun, X., X. Li, B. Zheng, J. He, and T. Mao. 2020. “Study on the progressive fracturing in soil and rock mixture under uniaxial compression conditions by CT scanning.” Eng. Geol. 279 (Dec): 105884. https://doi.org/10.1016/j.enggeo.2020.105884.
Tian, W., X. Cheng, Q. Liu, C. Yu, F. Gao, and Y. Chi. 2021. “Meso-structure segmentation of concrete CT image based on mask and regional convolution neural network.” Mater. Des. 208 (Dec): 109919. https://doi.org/10.1016/j.matdes.2021.109919.
Wang, S., P. Yang, and Z. Yang. 2018a. “Characterization of freeze–thaw effects within clay by 3D X-ray computed tomography.” Cold Reg. Sci. Technol. 148 (Apr): 13–21. https://doi.org/10.1016/j.coldregions.2018.01.001.
Wang, Y., J. M. Que, C. Wang, and C. H. Li. 2018b. “Three-dimensional observations of meso-structural changes in bimsoil using X-ray computed tomography (CT) under triaxial compression.” Constr. Build. Mater. 190 (Nov): 773–786. https://doi.org/10.1016/j.conbuildmat.2018.09.098.
Yang, Z., W. Ren, R. Sharma, S. McDonald, M. Mostafavi, Y. Vertyagina, and T. J. Marrow. 2017. “In-situ X-ray computed tomography characterisation of 3D fracture evolution and image-based numerical homogenisation of concrete.” Cem. Concr. Compos. 75 (Jan): 74–83. https://doi.org/10.1016/j.cemconcomp.2016.10.001.
Zhang, J., J. Huang, C. Fu, L. Huang, and H. Ye. 2021. “Characterization of steel reinforcement corrosion in concrete using 3D laser scanning techniques.” Constr. Build. Mater. 270 (Feb): 121402. https://doi.org/10.1016/j.conbuildmat.2020.121402.
Zhang, L., F. Dang, W. Ding, and L. Zhu. 2020. “Quantitative study of meso-damage process on concrete by CT technology and improved differential box counting method.” Measurement 160 (Aug): 107832. https://doi.org/10.1016/j.measurement.2020.107832.
Zhu, L., F. Dang, Y. Xue, W. Ding, and L. Zhang. 2019. “Analysis of micro-structural damage evolution of concrete through coupled X-ray computed tomography and gray-level co-occurrence matrices method.” Constr. Build. Mater. 224 (Nov): 534–550. https://doi.org/10.1016/j.conbuildmat.2019.07.007.
Zhu, L., F. Dang, Y. Xue, W. Ding, L. Zhang, and X. Xiong. 2021. “Meso-scale damage detection and assessment of concrete under dynamic compression loading using X-ray computed tomography.” Mater. Charact. 176 (Jun): 111149. https://doi.org/10.1016/j.matchar.2021.111149.
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© 2023 American Society of Civil Engineers.
History
Received: Mar 30, 2023
Accepted: Aug 4, 2023
Published online: Dec 19, 2023
Published in print: Mar 1, 2024
Discussion open until: May 19, 2024
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