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Civil-Comp Conferences
ISSN 2753-3239
ISSN 2753-3239
CCC: 1
PROCEEDINGS OF THE FIFTH INTERNATIONAL CONFERENCE ON RAILWAY TECHNOLOGY: RESEARCH, DEVELOPMENT AND MAINTENANCE
PROCEEDINGS OF THE FIFTH INTERNATIONAL CONFERENCE ON RAILWAY TECHNOLOGY: RESEARCH, DEVELOPMENT AND MAINTENANCE
Edited by: J. Pombo
Paper 10.5
Emerging inspection techniques for proactive railway drainage management
A. Nichols1, S. Rojas-Arques1,2, G. Sailor1, C. Wadsworth4, S. Tait1, and J. Raja3
1The University of Sheffield, Sheffield, United Kingdom
2Anglian Water, Huntingdon, United Kingdom
3Network Rail, United Kingdom
4Isle Utilities, Doncaster, United Kingdom
Full Bibliographic Reference for this paper
A. Nichols, S. Rojas-Arques, G. Sailor, C. Wadsworth, S. Tait,, J. Raja, "Emerging inspection techniques for proactive railway drainage management", in J. Pombo, (Editor), "Proceedings of the Fifth International Conference on Railway Technology: Research, Development and Maintenance",
Civil-Comp Press, Edinburgh, UK,
Online volume: CCC 1, Paper 10.5, 2022, doi:10.4203/ccc.1.10.5
Keywords: railway drainage; horizon scan; inspection; proactive maintenance.
Abstract
This paper examines the potential for emerging technologies to more effectively identify and inspect railway drainage assets. More effective inspection would enable targeted maintenance. This would help to reduce track flooding impacts and water related damage to other assets (such as earthworks) whilst minimising the risks and costs associated with work that currently requires trackside access. A horizon scan identified emerging technologies, while a visioning workshop and interviews with rail drainage engineers helped to explore their potential. Physical tests examined the suitability of some of the identified mid-term solutions (Manhole Zoom Camera, SewerBatt™, and Thermal Imagery) in a controlled laboratory environment and subsequently in real track drainage. Results show that SewerBatt™ can identify the position of features to ± 0.3 m, while empirical relationships are proposed to estimate the dimensions of these features via the Manhole Zoom Camera. Aerial thermal images showed variable data making the detection of buried pipes uncertain. However, they do demonstrate a capability to identify catchpits in a buried drainage pipe.
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