Characterisation of concrete cracking during laboratorial tests using image processing

被引:53
|
作者
Valenca, J. [1 ,4 ]
Dias-da-Costa, D. [2 ,5 ]
Julio, E. N. B. S. [3 ,4 ]
机构
[1] Polytech Inst Coimbra, Dept Civil Engn, P-3030199 Coimbra, Portugal
[2] Univ Coimbra, Dept Civil Engn, P-3030788 Coimbra, Portugal
[3] Univ Tecn Lisbon, Dept Civil Engn, Inst Super Tecn, P-1049001 Lisbon, Portugal
[4] ICIST, P-1049001 Lisbon, Portugal
[5] INESC Coimbra, P-3000033 Coimbra, Portugal
关键词
Concrete; Cracking; Laboratorial tests; Image processing;
D O I
10.1016/j.conbuildmat.2011.08.082
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
The evolution of the crack pattern during laboratorial tests is quite important to adequately characterise the specimen's response. Usually this is done by hand drawings. Hence, the development of an automatic tool capable of detecting, mapping and measuring crack patterns would be of upmost importance. The recent developments of digital optical equipment and methods widened their original field of application. Nowadays, laboratorial test monitoring is surely one of these potentially interesting new areas. In this paper, an innovative method named 'MCRACK' is introduced, aiming to automatically characterise cracking using digital image processing. First, 'MCRACK' is tested on a crack width ruler. Afterwards, the method is applied to push-off specimens tested until failure to study its advantages compared to traditional methods. It is concluded that 'MCRACK' gives a considerable increase of data, with higher reliability, automatically processed and at a significantly reduced working time. (C) 2011 Elsevier Ltd. All rights reserved.
引用
收藏
页码:607 / 615
页数:9
相关论文
共 50 条
  • [21] CALIBRATION OF DETECTION SYSTEM OF CRACK IN CONCRETE STRUCTURE BY USING IMAGE PROCESSING TECHNOLOGY
    Man-Yong, Choi
    Su-Un, Kim
    Jeong-Hak, Park
    Jee, Kee-Hwan
    Sung-Woo, Shin
    XIX IMEKO WORLD CONGRESS: FUNDAMENTAL AND APPLIED METROLOGY, PROCEEDINGS, 2009, : 2292 - 2297
  • [22] A MESO-NUMERICAL MODELING METHOD FOR CONCRETE USING IMAGE PROCESSING TECHNOLOGY
    Qin, Shanshan
    Zou, Dujian
    Liu, Tiejun
    Teng, Jun
    Fundamental Research in Structural Engineering: Retrospective and Prospective, Vols 1 and 2, 2016, : 1682 - 1687
  • [23] An image processing system for char combustion reactivity characterisation
    Chaves, Deisy
    Trucco, Emanuele
    Barraza, Juan
    Trujillo, Maria
    COMPUTERS IN INDUSTRY, 2019, 106 : 60 - 70
  • [24] The development of generic image processing algorithms for froth characterisation
    SadrKazemi, N
    Cilliers, JJ
    1997 JUBILEE RESEARCH EVENT, VOLS 1 AND 2, 1997, : 1137 - 1140
  • [25] Image processing based characterisation of coal cleat networks
    Busse, J.
    de Dreuzy, J. R.
    Torres, S. Galindo
    Bringemeier, D.
    Scheuermann, A.
    INTERNATIONAL JOURNAL OF COAL GEOLOGY, 2017, 169 : 1 - 21
  • [26] Radar image processing for detection of shape of voids under concrete slab
    Park, SK
    Uomoto, T
    ADVANCES IN NONDESTRUCTIVE EVALUATION, PT 1-3, 2004, 270-273 : 1556 - 1561
  • [27] On the Applicability of Image Processing Techniques in the Radio Environment Characterisation
    Perez-Romero, J.
    Sallent, O.
    Agusti, R.
    2009 IEEE VEHICULAR TECHNOLOGY CONFERENCE, VOLS 1-5, 2009, : 2425 - 2429
  • [28] Length and width of low-light, concrete hairline crack detection and measurement using image processing method
    Jayanthi N.
    Ghosh T.
    Meena R.K.
    Verma M.
    Asian Journal of Civil Engineering, 2024, 25 (3) : 2705 - 2714
  • [29] Characterisation of cracking resistance in modified hot mix asphalt under repeated loading using digital image analysis
    Radeef, Hasanain Radhi
    Hassan, Norhidayah Abdul
    Mahmud, Mohd Zul Hanif
    Abidin, Ahmad Razin Zainal
    Ismail, Che Ros
    Abbas, Hind Fadhil
    Al-Saffar, Zaid Hazim
    THEORETICAL AND APPLIED FRACTURE MECHANICS, 2021, 116
  • [30] Calibration of Detection System of Crack in Concrete Structure by Using Image Processing Technology
    Kim, Su-Un
    Shin, Sung-Woo
    Park, Jeong-Hak
    Choi, Man-Yong
    JOURNAL OF THE KOREAN SOCIETY FOR NONDESTRUCTIVE TESTING, 2011, 31 (06) : 626 - 634