Digital image correlation based crack monitoring on masonry arch bridges

被引:0
|
作者
Liu, Bowen [1 ]
Collier, Joshua [1 ]
Sarhosis, Vasilis [1 ]
机构
[1] Univ Leeds, Sch Civil Engn, Leeds LS2 9JT, England
基金
英国工程与自然科学研究理事会;
关键词
Masonry arch bridge; Digital image correlation; Spandrel wall; Crack propagation; Hinges; Non-contact structural health monitoring; DEFORMATION MEASUREMENT; FAILURE ANALYSIS; WALLS;
D O I
10.1016/j.engfailanal.2024.109185
中图分类号
TH [机械、仪表工业];
学科分类号
0802 ;
摘要
Masonry arch bridges remain a vital part of the UK's transportation network. The combination of increased traffic loads and more frequent climatic and anthropogenic disasters has heightened the risk of structural failures in these aging infrastructures, making effective monitoring essential for maintaining their safety and operational performance. In this study, a large-scale masonry arch bridge was constructed and tested under controlled laboratory conditions. Static patch loads were applied both centrically and eccentrically to the top of the backfill to induce damage accumulation. A Digital image correlation (DIC) set up was utilized to monitor the initiation and propagation of full-field strain/cracking in the spandrel wall of the bridge during different magnitudes of loading and unloading states. Comparing DIC data with readings from displacement gauges, the results confirmed that DIC could measure the deformations of the untreated surface with satisfied accuracy, using the inherent brick bond patterns and natural characteristics of the masonry surface as tracking points. DIC results provided valuable insights into the cracking behaviour of the masonry arch bridge throughout the entire loading-unloading states, offering important information on the load levels that induced the onset and the activation of hinges. Additionally, the interaction between the arch barrel and spandrel wall, as well as the crack mechanism in the spandrel wall, were analysed. The findings reported in the study demonstrate the significant potential of DIC for real-time non-contact monitoring of real masonry arch bridges, offering a better understanding of their structural behaviour under various loading scenarios.
引用
收藏
页数:16
相关论文
共 50 条
  • [31] Identification of a crack propagation law by digital image correlation
    Mathieu, Florent
    Hild, Francois
    Roux, Stephane
    INTERNATIONAL JOURNAL OF FATIGUE, 2012, 36 (01) : 146 - 154
  • [32] Experimental research on impact damage of Xiaowan arch dam model by digital image correlation
    Lei, Dong
    Huang, Zhentian
    Bai, Pengxiang
    Zhu, Feipeng
    CONSTRUCTION AND BUILDING MATERIALS, 2017, 147 : 168 - 173
  • [33] The numerical simulation research of crack in the masonry arch bridge
    Zhou Jian-Ting
    Du Yang
    Ou Yi-Hong
    PROCEEDINGS OF THE INTERNATIONAL CONFERENCE INFORMATION COMPUTING AND AUTOMATION, VOLS 1-3, 2008, : 1127 - +
  • [34] 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):
  • [35] Evaluation of Interlaminar Damage and Crack Propagation Through Digital Image Correlation Method
    Constantinescu, Dan M.
    Sandu, Marin
    Marsavina, Liviu
    Negru, Radu
    Miron, Matei
    Apostol, Dragos
    ADVANCES IN STRENGTH OF MATERIALS, 2009, 399 : 105 - 112
  • [36] Application of digital image correlation in investigating the bond between FRP and masonry
    Ghiassi, Bahman
    Xavier, Jose
    Oliveira, Daniel V.
    Lourenco, Paulo B.
    COMPOSITE STRUCTURES, 2013, 106 : 340 - 349
  • [37] Safety Assessment of Masonry Arch Bridges Considering the Fracturing Benefit
    Accornero, Federico
    Lacidogna, Giuseppe
    APPLIED SCIENCES-BASEL, 2020, 10 (10):
  • [38] Determination of the restoration effect on the structural behavior of masonry arch bridges
    Altunisik, A. C.
    Bayraktar, A.
    Genc, A. F.
    SMART STRUCTURES AND SYSTEMS, 2015, 16 (01) : 101 - 139
  • [39] Crack propagation characteristics of particulate reinforced composites using digital image correlation
    Seo, Bo Hwi
    Kim, Jae Hoon
    Park, Jae Beom
    Jung, Gyoo Dong
    MATERIALWISSENSCHAFT UND WERKSTOFFTECHNIK, 2015, 46 (4-5) : 387 - 393
  • [40] Automated monitoring of the crack propagation in mode I testing of thermoplastic composites by means of digital image correlation
    Khudiakova, A.
    Grasser, V
    Blumenthal, C.
    Wolfahrt, M.
    Pinter, G.
    POLYMER TESTING, 2020, 82