Concrete-crack monitoring on structural elements by automatic digital image analysis

被引：0
|
作者：
Schwitzke, M. [1 ]
Bachmann, V. [2 ]
Noack, M. [2 ]
Freyer, T. [1 ]
Launert, B. [1 ]
机构：
[1] Brandenburg Tech Univ Cottbus, Lehrstuhl Massivbau, D-03046 Cottbus, Germany
[2] Brandenburg Tech Univ Cottbus, Lehrstuhl Stahl & Holzbau, D-03046 Cottbus, Germany
来源：
BAUINGENIEUR | 2010年 / 85卷
关键词：
D O I：
暂无
中图分类号：
TU [建筑科学];
学科分类号：
0813 ;
摘要：
Cracks on the surface of structural elements are often the result of fatigue problems. The design of these cracks will be necessary and important for construction engineering. In steel constructions the crack length is important. In contrast, the crack width is ordinary neglected. According to the inspection intervals the crack length and the crack growth must be documented. At the Departments of Structural Concrete and Masonry and Steel and Timber Structures of the BTU Cottbus algorithms are developed in order to be able to calculate cracks with commercial digital cameras and programs.
引用
收藏
页码：455 / 459
页数：5
相关论文
共 50 条
  • [31] Deformation field and crack analyses of concrete using digital image correlation method
    Yijie Huang
    Xujia He
    Qing Wang
    Jianzhuang Xiao
    Frontiers of Structural and Civil Engineering, 2019, 13 : 1183 - 1199
  • [32] Investigation of Crack Propagation and Healing of Asphalt Concrete Using Digital Image Correlation
    Hasheminejad, Navid
    Vuye, Cedric
    Margaritis, Alexandros
    Ribbens, Bart
    Jacobs, Geert
    Blom, Johan
    Van den Bergh, Wim
    Dirckx, Joris
    Vanlanduit, Steve
    APPLIED SCIENCES-BASEL, 2019, 9 (12):
  • [33] Deformation field and crack analyses of concrete using digital image correlation method
    Huang, Yijie
    He, Xujia
    Wang, Qing
    Xiao, Jianzhuang
    FRONTIERS OF STRUCTURAL AND CIVIL ENGINEERING, 2019, 13 (05) : 1183 - 1199
  • [34] Detecting crack profile in concrete using digital image correlation and acoustic emission
    Alam, S. Yasir
    Loukili, A.
    ICEM 14: 14TH INTERNATIONAL CONFERENCE ON EXPERIMENTAL MECHANICS, VOL 6, 2010, 6
  • [35] Building Crack Detection Based on Digital Image Processing Technology and Multiscale Feature Analysis Automatic Detection Algorithm
    Liu, Chenguang
    ADVANCES IN MULTIMEDIA, 2022, 2022
  • [36] Mathematical morphology for TOFD image analysis and automatic crack detection
    Merazi-Meksen, Thouraya
    Boudraa, Malika
    Boudraa, Bachir
    ULTRASONICS, 2014, 54 (06) : 1642 - 1648
  • [37] Structural health monitoring of concrete elements with embedded arrays of optical fibers
    Khotiaintsev, Sergei
    Beltran-Hernandez, Alfredo
    Gonzalez-Tinoco, Juan
    Guzman-Olguin, Hector
    Aguilar-Ramos, Gerardo
    HEALTH MONITORING OF STRUCTURAL AND BIOLOGICAL SYSTEMS 2013, 2013, 8695
  • [38] The crack analysis in monitoring procedures of Seaport pier concrete constructions
    Jankauskiene, Dainora
    Dorosevas, Viktoras
    Volkovas, Vitalijus
    JOURNAL OF MEASUREMENTS IN ENGINEERING, 2018, 6 (01) : 74 - 80
  • [39] Monitoring and analysis of crack developments in concrete using machine vision
    Kapadia, Harsh K.
    Patel, Paresh V.
    Patel, Jignesh B.
    Journal of Structural Engineering (India), 2022, 49 (03): : 204 - 222
  • [40] Automatic modelling of cohesive crack propagation in concrete using polygon scaled boundary finite elements
    Ooi, E. T.
    Song, C.
    Tin-Loi, F.
    Yang, Z. J.
    ENGINEERING FRACTURE MECHANICS, 2012, 93 : 13 - 33
12345