A Stereovision-based Crack Width Detection Approach for Concrete Surface Assessment

被引:86
|
作者
Shan, Baohua [1 ]
Zheng, Shijie [1 ]
Ou, Jinping [2 ]
机构
[1] Harbin Inst Technol, Sch Civil Engn, Harbin 150090, Peoples R China
[2] Harbin Inst Technol, Sch Civil Engn, Chinese Acad Engn, Harbin 150090, Peoples R China
基金
中国国家自然科学基金;
关键词
crack width; detection; stereovision; three-dimensional (3D); concrete surface;
D O I
10.1007/s12205-015-0461-6
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
To quantitatively evaluate crack width of concrete structures surface, this paper presents a stereovision-based crack width detection method. Compared with the traditional visual inspection with single camera, this approach uses a pair of cameras to capture cracks images for recovering 3D coordinates of crack edge, and does not needs scale attached to concrete surface for converting measurement unit. A novel Canny-Zernike combination algorithm is utilized to obtain the image coordinates of crack edge in the left crack image, this combination algorithm can achieve 0.02 subpixel precision. The 3D coordinates of crack edge are acquired by projecting crack edge curve on concrete surface where cracks are located. The crack width is assessed by the minimum distance between two sides of crack edge. The detection tests are conducted on three concrete beams destroyed in static test, and the crack width of two inspection zones on each beam is acquired. Experimental results indicate that the stereovision-based crack width detection approach can accurately measure the crack width compared with the crack width gauge or the vernier calliper. This verifies the proposed method is applicable and useful for assessing the crack width of concrete surface.
引用
收藏
页码:803 / 812
页数:10
相关论文
共 47 条
  • [1] A stereovision-based crack width detection approach for concrete surface assessment
    Baohua Shan
    Shijie Zheng
    Jinping Ou
    KSCE Journal of Civil Engineering, 2016, 20 : 803 - 812
  • [2] A stereovision-based efficient measurement approach for surface flatness of concrete members
    Chen, Hao
    Liu, Guohua
    Wang, Zhenyu
    STRUCTURES, 2024, 63
  • [3] Stereovision-based surface flaws detection experiment of foundations of Yiqiao Bridge
    Shan, Baohua
    Yan, Yu
    Wang, Hai
    Yang, Yu
    ADVANCES IN MECHANICAL ENGINEERING, 2017, 9 (09)
  • [4] Stereovision-based 3D lane detection system: a model driven approach
    Benmansour, Nabil
    Labayrade, Raphael
    Aubert, Didier
    Glaser, Sebastien
    PROCEEDINGS OF THE 11TH INTERNATIONAL IEEE CONFERENCE ON INTELLIGENT TRANSPORTATION SYSTEMS, 2008, : 182 - +
  • [5] Stereovision-based surface deformation detection of offshore wind turbine model under ship impact
    Shan, Baohua
    Ren, Nianxin
    Xue, Zhilin
    MEASUREMENT, 2019, 131 : 605 - 614
  • [6] A new hybrid stereovision-based distance-estimation approach for mobile robot platforms
    Solak, Serdar
    Bolat, Emine Dogru
    COMPUTERS & ELECTRICAL ENGINEERING, 2018, 67 : 672 - 689
  • [7] CRACK DETECTION OF CONCRETE SURFACE BASED ON CONVOLUTIONAL NEURAL NETWORKS
    Yao, Gang
    Wei, Fu-Jia
    Qian, Ji-Ye
    Wu, Zhao-Guo
    PROCEEDINGS OF 2018 INTERNATIONAL CONFERENCE ON MACHINE LEARNING AND CYBERNETICS (ICMLC), VOL 1, 2018, : 246 - 250
  • [8] Uncertainty of the crack width model based on fracture of concrete
    Cervenka, Vladimir
    Rimkus, Arvydas
    Gribniak, Viktor
    Cervenka, Jan
    EUROPEAN ASSOCIATION ON QUALITY CONTROL OF BRIDGES AND STRUCTURES, EUROSTRUCT 2023, VOL 6, ISS 5, 2023, : 60 - 69
  • [9] Simulation of the crack width in reinforced concrete beams based on concrete fracture
    Cervenka, Vladimir
    Rimkus, Arvydas
    Gribniak, Viktor
    Cervenka, Jan
    THEORETICAL AND APPLIED FRACTURE MECHANICS, 2022, 121
  • [10] Quantitative detection of surface crack width of aluminum alloy based on laser thermography
    Wang H.
    Zhai S.
    Yang J.
    Dong L.
    Wang H.
    Hongwai yu Jiguang Gongcheng/Infrared and Laser Engineering, 2023, 52 (09):