Characterising the Dynamic Response of A Deformed Masonry Arch Rail Bridge Using Monitoring and Remote Sensing

H. Aldaikh, Sinan Acikgoz (Lead / Corresponding author), Matthew DeJong, Cedric Kechavarzi, Kenichi Soga

Research output: Contribution to conferencePaper

Abstract

Numerous masonry arch bridges in the UK have significant deformations and are carrying traffic and rail loads. Often the structural assessment of these bridges is carried out by evaluating their ultimate limit state with little consideration for deformed geometry and continued degradation under service loads. This paper summarises recent work to assess a Victorian masonry arch rail bridge using novel sensing technologies. The objectives were to quantify the current damage state, understand the three-dimensional dynamic response under service loads, and observe continued crack propagation. Initially, to determine the current geometry, a laser scanning survey was carried out. A comparison between ideal geometric shapes and the deformed geometry quantifies the differential settlement experienced by the bridge piers. With accompanying structural analyses, these settlements are utilized to evaluate the current damage state of the bridge. Then, a deployment of quasi-distributed Fibre Bragg Grating (FBG) sensors and distributed fibre optic sensors is described. FBG sensors are utilized to explore the dynamic response under service loading, while only the distributed strain sensors are utilized to evaluate the long term crack propagation. Preliminary monitoring demonstrates how the dynamic response mechanism engages with the existing cracks and quantifies the diurnal and seasonal changes in crack opening.
Original languageEnglish
Publication statusPublished - 2016
EventEuropean Congress on Computational Methods in Applied Sciences and Engineering - Crete Island, Greece
Duration: 5 Jun 201610 Jun 2016
https://www.eccomas2016.org/

Conference

ConferenceEuropean Congress on Computational Methods in Applied Sciences and Engineering
Abbreviated titleECCOMAS
CountryGreece
CityCrete Island
Period5/06/1610/06/16
Internet address

Fingerprint

Arches
Dynamic response
Rails
Remote sensing
Fiber Bragg gratings
Geometry
Monitoring
Crack propagation
Sensors
Masonry bridges
Cracks
Arch bridges
Bridge piers
Fiber optic sensors
Scanning
Degradation
Lasers

Cite this

Aldaikh, H., Acikgoz, S., DeJong, M., Kechavarzi, C., & Soga, K. (2016). Characterising the Dynamic Response of A Deformed Masonry Arch Rail Bridge Using Monitoring and Remote Sensing. Paper presented at European Congress on Computational Methods in Applied Sciences and Engineering, Crete Island, Greece.
Aldaikh, H. ; Acikgoz, Sinan ; DeJong, Matthew ; Kechavarzi, Cedric ; Soga, Kenichi . / Characterising the Dynamic Response of A Deformed Masonry Arch Rail Bridge Using Monitoring and Remote Sensing. Paper presented at European Congress on Computational Methods in Applied Sciences and Engineering, Crete Island, Greece.
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abstract = "Numerous masonry arch bridges in the UK have significant deformations and are carrying traffic and rail loads. Often the structural assessment of these bridges is carried out by evaluating their ultimate limit state with little consideration for deformed geometry and continued degradation under service loads. This paper summarises recent work to assess a Victorian masonry arch rail bridge using novel sensing technologies. The objectives were to quantify the current damage state, understand the three-dimensional dynamic response under service loads, and observe continued crack propagation. Initially, to determine the current geometry, a laser scanning survey was carried out. A comparison between ideal geometric shapes and the deformed geometry quantifies the differential settlement experienced by the bridge piers. With accompanying structural analyses, these settlements are utilized to evaluate the current damage state of the bridge. Then, a deployment of quasi-distributed Fibre Bragg Grating (FBG) sensors and distributed fibre optic sensors is described. FBG sensors are utilized to explore the dynamic response under service loading, while only the distributed strain sensors are utilized to evaluate the long term crack propagation. Preliminary monitoring demonstrates how the dynamic response mechanism engages with the existing cracks and quantifies the diurnal and seasonal changes in crack opening.",
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Aldaikh, H, Acikgoz, S, DeJong, M, Kechavarzi, C & Soga, K 2016, 'Characterising the Dynamic Response of A Deformed Masonry Arch Rail Bridge Using Monitoring and Remote Sensing' Paper presented at European Congress on Computational Methods in Applied Sciences and Engineering, Crete Island, Greece, 5/06/16 - 10/06/16, .

Characterising the Dynamic Response of A Deformed Masonry Arch Rail Bridge Using Monitoring and Remote Sensing. / Aldaikh, H.; Acikgoz, Sinan (Lead / Corresponding author); DeJong, Matthew ; Kechavarzi, Cedric ; Soga, Kenichi .

2016. Paper presented at European Congress on Computational Methods in Applied Sciences and Engineering, Crete Island, Greece.

Research output: Contribution to conferencePaper

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AU - DeJong, Matthew

AU - Kechavarzi, Cedric

AU - Soga, Kenichi

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AB - Numerous masonry arch bridges in the UK have significant deformations and are carrying traffic and rail loads. Often the structural assessment of these bridges is carried out by evaluating their ultimate limit state with little consideration for deformed geometry and continued degradation under service loads. This paper summarises recent work to assess a Victorian masonry arch rail bridge using novel sensing technologies. The objectives were to quantify the current damage state, understand the three-dimensional dynamic response under service loads, and observe continued crack propagation. Initially, to determine the current geometry, a laser scanning survey was carried out. A comparison between ideal geometric shapes and the deformed geometry quantifies the differential settlement experienced by the bridge piers. With accompanying structural analyses, these settlements are utilized to evaluate the current damage state of the bridge. Then, a deployment of quasi-distributed Fibre Bragg Grating (FBG) sensors and distributed fibre optic sensors is described. FBG sensors are utilized to explore the dynamic response under service loading, while only the distributed strain sensors are utilized to evaluate the long term crack propagation. Preliminary monitoring demonstrates how the dynamic response mechanism engages with the existing cracks and quantifies the diurnal and seasonal changes in crack opening.

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M3 - Paper

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Aldaikh H, Acikgoz S, DeJong M, Kechavarzi C, Soga K. Characterising the Dynamic Response of A Deformed Masonry Arch Rail Bridge Using Monitoring and Remote Sensing. 2016. Paper presented at European Congress on Computational Methods in Applied Sciences and Engineering, Crete Island, Greece.