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

Accepted version
Peer-reviewed

Type

Conference Object

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Authors

Alexakis, H 
Franza, A 
Acikgoz, S 
DeJong, M 

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.

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Journal Title

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

Conference Name

IABSE Symposium 2019 Guimaraes, Towards a Resilient Built Environment - Risk and Asset Management

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All rights reserved
Sponsorship
Engineering and Physical Sciences Research Council (EP/N021614/1)
Technology Strategy Board (920035)
Engineering and Physical Sciences Research Council (EP/I019308/1)
Engineering and Physical Sciences Research Council (EP/K000314/1)
Engineering and Physical Sciences Research Council (EP/L010917/1)
Engineering and Physical Sciences Research Council (EP/P013848/1)
This work is being funded by the Lloyd’s Register Foundation, EPSRC and Innovate UK through the Data-Centric Engineering programme of the Alan Turing Institute and through the Cambridge Centre for Smart Infrastructure and Construction (CSIC). Funding for the monitoring installation was provided by EPSRC under the Ref. EP/N021614/1 grant and by Innovate UK under the Ref. 920035 grant.