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2020 | OriginalPaper | Buchkapitel

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

verfasst von : Sinan Acikgoz, Haris Alexakis, Cong Ye, Andrea Franza, Matthew DeJong

Erschienen in: Proceedings of ARCH 2019

Verlag: Springer International Publishing

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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.

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Literatur
1.
Zurück zum Zitat Acikgoz, S., Kechavarzi, C., Soga, K., DeJong, M.J.: Dynamic response of a damaged masonry rail viaduct: measurement and interpretation. Eng. Struct. 168, 544–558 (2018)CrossRef Acikgoz, S., Kechavarzi, C., Soga, K., DeJong, M.J.: Dynamic response of a damaged masonry rail viaduct: measurement and interpretation. Eng. Struct. 168, 544–558 (2018)CrossRef
2.
Zurück zum Zitat Ye, C., Acikgoz, S., Pendrigh, S., Riley, E., DeJong, M.J.: Mapping deformations and inferring movements of masonry arch bridges using point cloud data. Eng. Struct. 173, 530–545 (2018)CrossRef Ye, C., Acikgoz, S., Pendrigh, S., Riley, E., DeJong, M.J.: Mapping deformations and inferring movements of masonry arch bridges using point cloud data. Eng. Struct. 173, 530–545 (2018)CrossRef
3.
Zurück zum Zitat Acikgoz, S., Soga, K., DeJong, M.J.: Sensing dynamic displacements in masonry rail bridges using 2D digital image correlation. Struct. Control Health Monit. 25, e2187 (2018)CrossRef Acikgoz, S., Soga, K., DeJong, M.J.: Sensing dynamic displacements in masonry rail bridges using 2D digital image correlation. Struct. Control Health Monit. 25, e2187 (2018)CrossRef
4.
Zurück zum Zitat Alexakis, H., Franza, A., Acikgoz, S., DeJong, M. J.: A multi-sensing monitoring system to study deterioration of a railway bridge. In: Proceedings of the 9th International Conference on Structural Health Monitoring of Intelligent Infrastructure. St. Louis, Missouri, USA, 4–7 August 2019 Alexakis, H., Franza, A., Acikgoz, S., DeJong, M. J.: A multi-sensing monitoring system to study deterioration of a railway bridge. In: Proceedings of the 9th International Conference on Structural Health Monitoring of Intelligent Infrastructure. St. Louis, Missouri, USA, 4–7 August 2019
5.
Zurück zum Zitat Alexakis, H., Franza, A., Acikgoz, S., DeJong, M. J.: Monitoring bridge degradation using dynamic strain, acoustic emission and environmental data. In: Proceedings of the 9th International Conference on Smart Infrastructure and Construction. Cambridge, UK, 8–10 July 2019 Alexakis, H., Franza, A., Acikgoz, S., DeJong, M. J.: Monitoring bridge degradation using dynamic strain, acoustic emission and environmental data. In: Proceedings of the 9th International Conference on Smart Infrastructure and Construction. Cambridge, UK, 8–10 July 2019
Metadaten
Titel
The Marsh Lane Railway Viaduct: 2 Years of Monitoring with Combined Sensing and Surveying Technologies
verfasst von
Sinan Acikgoz
Haris Alexakis
Cong Ye
Andrea Franza
Matthew DeJong
Copyright-Jahr
2020
DOI
https://doi.org/10.1007/978-3-030-29227-0_44