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Structural health monitoring of a masonry viaduct with Fibre Bragg Grating sensors

  • Haris Alexakis*
  • , Andrea Franza
  • , Sinan Acikgoz
  • , Matthew DeJong
  • *Corresponding author for this work
  • Universidad Politécnica de Madrid
  • University of Oxford
  • UCB

Research output: Chapter in Book/Published conference outputConference publication

Abstract

The Marsh Lane viaduct is a masonry railway bridge constructed during the 19th century nearby Leeds Central Railway Station. The bridge appears significantly damaged due to the increase of the operational train loads over the last decades and due to environmental effects. Due to this degradation, extensive repair was conducted in 2015. After this repair work, an extensive fibre optic sensor network was installed below three spans of the bridge to monitor surface strains at 68 locations on the underside of the arch spans. The paper compares data collected from two monitoring periods, 16 months apart. Combining statistical analysis and signal processing techniques, the results show that local damage, as well as change in the global dynamic behaviour of the structure over time, can be effectively detected with the use of Fibre Bragg Grating sensors.

Original languageEnglish
Title of host publicationIABSE Symposium, Guimaraes 2019
Subtitle of host publicationTowards a Resilient Built Environment Risk and Asset Management - Report
Pages1560-1567
Number of pages8
ISBN (Electronic)9783857481635
Publication statusPublished - 29 Mar 2019
EventIABSE Symposium 2019 Guimaraes: Towards a Resilient Built Environment - Risk and Asset Management - Guimaraes, Portugal
Duration: 27 Mar 201929 Mar 2019

Publication series

NameIABSE Symposium, Guimaraes 2019: Towards a Resilient Built Environment Risk and Asset Management - Report

Conference

ConferenceIABSE Symposium 2019 Guimaraes: Towards a Resilient Built Environment - Risk and Asset Management
Country/TerritoryPortugal
CityGuimaraes
Period27/03/1929/03/19

Funding

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Keywords

  • Ageing infrastructure
  • Damage detection
  • Fibre optics
  • Masonry deterioration
  • Remote monitoring
  • Signal processing

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