Application of Digital Image Correlation to Field Monitoring of Masonry Arch Bridges

Qili Fang, Stanyslav Grosman, Lorenzo Macorini, Bassam A. Izzuddin

Research output: Contribution to journalConference articlepeer-review

1 Downloads (Pure)

Abstract

Many masonry bridges constructed in Europe during the Industrial Revolution are still in service. For over a century, continuous operation and weathering effects have contributed to material degradation in the main bridge components. To ensure that old masonry bridges remain safe even under increasing traffic loading, it is crucial to identify potential deterioration in bridge performance before the onset of critical irreversible damage. This task can be accomplished via periodic monitoring of the bridge response under traffic loading. Digital Image Correlation (DIC) is an effective non-contact method to measure displacements and strains. Most DIC applications have been in laboratory settings, and DIC techniques have yet to be extensively applied in the field. This paper showcases the potential of DIC monitoring for serviceability assessment of masonry bridges. Some results of an extensive monitoring program on railway viaducts in the UK are presented. Structures with different geometrical characteristics, including pier heights, span lengths, and span-to-rise ratios, have been investigated. The results obtained using specific targets attached to the monitored structures or using the actual masonry texture as natural targets have been compared; consideration is also given to the influence of camera characteristics and settings. A significant impact of the camera depth of field has been established, especially when measuring deflections at different locations on the intrados of the arch barrel.

Original languageEnglish
Pages (from-to)565-572
Number of pages8
JournalProcedia Structural Integrity
Volume64
DOIs
Publication statusPublished - 8 Nov 2024
Externally publishedYes
Event7th International Conference on Smart Monitoring, Assessment and Rehabilitation of Civil Structures, SMAR 2024 - Salerno, Italy
Duration: 8 Mar 202311 Mar 2023

Bibliographical note

Publisher Copyright:
© 2024 The Authors. Published by ELSEVIER B.V.

Keywords

  • Digital Image Correlation
  • Masonry Bridges
  • Non-contact Monitoring

Cite this