Digital image correlation based crack monitoring on masonry arch bridges

• A full-scale masonry arch bridge constructed and load tested under laboratory conditions. • Digital image correlation was used to monitor the crack propagation in spandrel wall. • The wall was untreated, and the natural pattern and features of the masonry wall were used as marks for DIC. • Finding of this study may provide valuable insights into the application of DIC on the monitoring of masonry arch bridges in the field. 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.

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Publication Details

Journal
Engineering Failure Analysis
Published
2024-12-07
DOI
https://doi.org/10.1016/j.engfailanal.2024.109185
Citations
13
Primary Topic
Structural Health Monitoring Techniques
Type
article
Field-Weighted Citation Impact
3.39

Funders

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article

Digital image correlation based crack monitoring on masonry arch bridges

Vasilis Sarhosis, Bowen Liu, Joshua Collier
13 citations
Engineering Failure Analysis
Structural Health Monitoring Techniques
3.39
article

Digital image correlation based crack monitoring on masonry arch bridges

Vasilis Sarhosis, Bowen Liu, Joshua Collier
article en
13 citations

Abstract

• A full-scale masonry arch bridge constructed and load tested under laboratory conditions. • Digital image correlation was used to monitor the crack propagation in spandrel wall. • The wall was untreated, and the natural pattern and features of the masonry wall were used as marks for DIC. • Finding of this study may provide valuable insights into the application of DIC on the monitoring of masonry arch bridges in the field. 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.

Engineering Failure AnalysisVol. 169
University of Leeds (GB)
Engineering and Physical Sciences Research Council
Sustainable cities and communities
Openalex Percentile: Top 7%
Structural Health Monitoring Techniques
3.39
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