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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References
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)
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)
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)
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.: 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
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.
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Acikgoz, S., Alexakis, H., Ye, C., Franza, A., DeJong, M. (2020). The Marsh Lane Railway Viaduct: 2 Years of Monitoring with Combined Sensing and Surveying Technologies. In: Arêde, A., Costa, C. (eds) Proceedings of ARCH 2019. ARCH 2019. Structural Integrity, vol 11. Springer, Cham. https://doi.org/10.1007/978-3-030-29227-0_44
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DOI: https://doi.org/10.1007/978-3-030-29227-0_44
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