AUTOMATION EXTRACTION AND QUANTIFICATION OF SHEAR CRACKS IN REINFORCED CONCRETE BEAMS BASED ON DIC TECHNOLOGY

被引:0
|
作者
Yang Z.-H. [1 ]
Shu J.-P. [1 ]
Yang J.-Y. [1 ]
Li J. [1 ]
Bai Y. [1 ]
机构
[1] College of Civil Engineering and Architecture, Zhejiang University, Zhejiang, Hangzhou
来源
Shu, Jiang-Peng (jpeshu@zju.edu.cn) | 1600年 / Tsinghua University卷 / 41期
关键词
digital image correlation; principal strain fields; real-time tracking quantification; reinforced concrete beams; shear cracks;
D O I
10.6052/j.issn.1000-4750.2023.05.S021
中图分类号
学科分类号
摘要
To address the problems of automatic localization, width quantification in all directions and extended tracking of shear diagonal cracks in reinforced concrete beam experiments, this paper proposes a computational method for automatic crack extraction and width quantification based on digital image correlation (DIC) technology. The horizontal, vertical and shear strain fields calculated by DIC are used to calculate the principal tensile strain fields on specimen surface, and the part of the specimen surface where the principal strain is greater than a certain threshold value is considered as cracked. Morphological operations are performed on the cracked portion to extract the crack skeleton line. Reference points for crack movement are defined on both sides of the skeleton line, and the crack development pattern is calculated based on the movement of the reference points. The calculation method achieves automated detection and high accuracy quantification of cracks in any direction during the loading of concrete beams, and is able to handle local rotation of the specimen, leveraging the full potential of DIC measurement technique. The validity and accuracy of the method are verified through four sets of laboratory shear tests of reinforced concrete beams. The results show that the method is capable of tracking and quantifying the crack development in all directions over the full range in real time during multiple loading stages. © 2024 Tsinghua University. All rights reserved.
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页码:187 / 196
页数:9
相关论文
共 39 条
  • [1] RUOCCI G, ROSPARS C, MOREAU G, Et al., Digital image correlation and noise-filtering approach for the cracking assessment of massive reinforced concrete structures, Strain, 52, 6, pp. 503-521, (2016)
  • [2] LIN J P, LIN L Q, PENG Z X, Et al., Cracking performance in the Hogging-Moment regions of natural curing steel-UHPC and steel-UHTCC continuous composite beams, Journal of Bridge Engineering, 27, 2, (2022)
  • [3] QI J N, MA Z J, WANG J Q, Et al., Post-cracking shear strength and deformability of HSS-UHPFRC beams [J], Structural Concrete, 17, 6, pp. 1033-1046, (2016)
  • [4] ZHANG W, ZHENG Q F, ASHOUR A, Et al., Self-healing cement concrete composites for resilient infrastructures: A review, Composites Part B: Engineering, 189, (2020)
  • [5] JIN Liu, ZHANG Jiangxing, LI Dong, Et al., Analysis of the influence of CFRP sheets reinforcement scheme on shear performance and size effect of RC beams, Engineering Mechanics, 39, 12, pp. 31-40, (2022)
  • [6] LIU Yufei, FAN Jiansheng, NIE Jianguo, Et al., Review and prospect of digital-image-based crack detection of structure surface, China Civil Engineering Journal, 54, 6, pp. 79-98, (2021)
  • [7] ZHU Zhihui, FENG Qianshuo, XIAO Quanqing, Et al., An analysis method for strain field of crack tip based on DIC technology and meshless method, China Civil Engineering Journal, 54, 6, pp. 99-109, (2021)
  • [8] QING Longbang, CAO Guorui, GUAN Junfeng, Experimental investigation of the concrete permissible damage scale based on the digital image correlation method, Engineering Mechanics, 36, 10, pp. 115-121, (2019)
  • [9] YAN Banfu, LI Derui, XU Guanya, Et al., Structural deformation test based on fast digital image correlation and regularization smoothing techniques, China Journal of Highway and Transport, 33, 9, pp. 193-205, (2020)
  • [10] LIU Cong, CHEN Zhenning, HE Xiaoyuan, Application of 3D-DIC in experimental study on mechanical properties of civil structures, Journal of Southeast University (Natural Science Edition), 44, 2, pp. 339-344, (2014)