The Marsh Lane Railway Viaduct: 2 Years of Monitoring with Combined Sensing and Surveying Technologies

Sinan Acikgoz; Haris Alexakis; Cong Ye; Andrea Franza; Matthew DeJong

doi:10.1007/978-3-030-29227-0_44

The Marsh Lane Railway Viaduct: 2 Years of Monitoring with Combined Sensing and Surveying Technologies

Sinan Acikgoz^*
, Haris Alexakis
, Cong Ye
, Andrea Franza
, Matthew DeJong

^*Corresponding author for this work

University of Oxford
University of Cambridge
Universidad Politécnica de Madrid
UCB

Research output: Chapter in Book/Published conference output › Conference publication

2 Citations (Scopus)

Abstract

Marsh Lane viaduct is a typical example of a 19th century brick masonry railway arch in the UK. It frequently carries passenger trains to and from Leeds Station. This paper broadly discusses the sensing techniques and associated analysis procedures used to (i) identify the reasons for existing damage, (ii) quantify their impact on the dynamic response of the structure and (iii) measure degradation of the response over a period of one year. To identify existing damage, distortions in geometry of the structure are examined with new point cloud processing techniques. With the aid of limit analyses, these distortions are interpreted, and past support movements which may have caused the distortions are identified. Then, to measure the dynamic response of the bridge, quasi-distributed fibre optic strain sensing and digital image correlation displacement measurement techniques are used. These highlight the increased dynamic response around locations of existing damage, and point out to the global mechanisms of response that could propagate damage. Continuous fibre optic strain measurements between November 2017 and 2018 are then discussed to investigate the ongoing deterioration.

Original language	English
Title of host publication	Proceedings of ARCH 2019
Publisher	Springer
Pages	422-429
Number of pages	8
ISBN (Electronic)	978-3-030-29227-0
ISBN (Print)	978-3-030-29226-3
DOIs	https://doi.org/10.1007/978-3-030-29227-0_44
Publication status	Published - 2020
Event	9th International Conference on Arch Bridges - Porto, Portugal Duration: 2 Oct 2019 → 4 Oct 2019

Publication series

Name	Structural Integrity
Volume	11
ISSN (Print)	2522-560X
ISSN (Electronic)	2522-5618

Conference

Conference	9th International Conference on Arch Bridges
Country/Territory	Portugal
City	Porto
Period	2/10/19 → 4/10/19

Funding

Acknowledgements. This work is being funded by the Lloyd’s Register Foundation, EPSRC (Ref. EP/N021614/1) and Innovate UK (Ref. 920035) The authors are grateful to Network Rail for providing power, technical support and site access for this research.

Keywords

Digital image correlation
Fibre optic strain sensing
Masonry arch bridges
Point clouds
Primitive fitting

Access to Document

10.1007/978-3-030-29227-0_44

Cite this

@inproceedings{f284384ea6f84a9f81e7ce2e2bfb9d8c,

title = "The Marsh Lane Railway Viaduct: 2 Years of Monitoring with Combined Sensing and Surveying Technologies",

abstract = "Marsh Lane viaduct is a typical example of a 19th century brick masonry railway arch in the UK. It frequently carries passenger trains to and from Leeds Station. This paper broadly discusses the sensing techniques and associated analysis procedures used to (i) identify the reasons for existing damage, (ii) quantify their impact on the dynamic response of the structure and (iii) measure degradation of the response over a period of one year. To identify existing damage, distortions in geometry of the structure are examined with new point cloud processing techniques. With the aid of limit analyses, these distortions are interpreted, and past support movements which may have caused the distortions are identified. Then, to measure the dynamic response of the bridge, quasi-distributed fibre optic strain sensing and digital image correlation displacement measurement techniques are used. These highlight the increased dynamic response around locations of existing damage, and point out to the global mechanisms of response that could propagate damage. Continuous fibre optic strain measurements between November 2017 and 2018 are then discussed to investigate the ongoing deterioration.",

keywords = "Digital image correlation, Fibre optic strain sensing, Masonry arch bridges, Point clouds, Primitive fitting",

author = "Sinan Acikgoz and Haris Alexakis and Cong Ye and Andrea Franza and Matthew DeJong",

year = "2020",

doi = "10.1007/978-3-030-29227-0\_44",

language = "English",

isbn = "978-3-030-29226-3",

series = "Structural Integrity",

publisher = "Springer",

pages = "422--429",

booktitle = "Proceedings of ARCH 2019",

address = "Germany",

note = "9th International Conference on Arch Bridges ; Conference date: 02-10-2019 Through 04-10-2019",

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T1 - The Marsh Lane Railway Viaduct

T2 - 9th International Conference on Arch Bridges

AU - Acikgoz, Sinan

AU - Alexakis, Haris

AU - Ye, Cong

AU - Franza, Andrea

AU - DeJong, Matthew

PY - 2020

Y1 - 2020

N2 - Marsh Lane viaduct is a typical example of a 19th century brick masonry railway arch in the UK. It frequently carries passenger trains to and from Leeds Station. This paper broadly discusses the sensing techniques and associated analysis procedures used to (i) identify the reasons for existing damage, (ii) quantify their impact on the dynamic response of the structure and (iii) measure degradation of the response over a period of one year. To identify existing damage, distortions in geometry of the structure are examined with new point cloud processing techniques. With the aid of limit analyses, these distortions are interpreted, and past support movements which may have caused the distortions are identified. Then, to measure the dynamic response of the bridge, quasi-distributed fibre optic strain sensing and digital image correlation displacement measurement techniques are used. These highlight the increased dynamic response around locations of existing damage, and point out to the global mechanisms of response that could propagate damage. Continuous fibre optic strain measurements between November 2017 and 2018 are then discussed to investigate the ongoing deterioration.

AB - Marsh Lane viaduct is a typical example of a 19th century brick masonry railway arch in the UK. It frequently carries passenger trains to and from Leeds Station. This paper broadly discusses the sensing techniques and associated analysis procedures used to (i) identify the reasons for existing damage, (ii) quantify their impact on the dynamic response of the structure and (iii) measure degradation of the response over a period of one year. To identify existing damage, distortions in geometry of the structure are examined with new point cloud processing techniques. With the aid of limit analyses, these distortions are interpreted, and past support movements which may have caused the distortions are identified. Then, to measure the dynamic response of the bridge, quasi-distributed fibre optic strain sensing and digital image correlation displacement measurement techniques are used. These highlight the increased dynamic response around locations of existing damage, and point out to the global mechanisms of response that could propagate damage. Continuous fibre optic strain measurements between November 2017 and 2018 are then discussed to investigate the ongoing deterioration.

KW - Digital image correlation

KW - Fibre optic strain sensing

KW - Masonry arch bridges

KW - Point clouds

KW - Primitive fitting

UR - https://www.scopus.com/pages/publications/85085286310

UR - https://link.springer.com/chapter/10.1007%2F978-3-030-29227-0_44

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DO - 10.1007/978-3-030-29227-0_44

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AN - SCOPUS:85085286310

SN - 978-3-030-29226-3

T3 - Structural Integrity

SP - 422

EP - 429

BT - Proceedings of ARCH 2019

PB - Springer

Y2 - 2 October 2019 through 4 October 2019

ER -

The Marsh Lane Railway Viaduct: 2 Years of Monitoring with Combined Sensing and Surveying Technologies

Abstract

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Conference

Funding

Keywords

Access to Document

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