| Download | - View final version: Longitudinal strain monitoring of rails using distributed and discrete sensors (PDF, 903 KiB)
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| Author | Search for: Barker, C.; Search for: Hoult, N.; Search for: Zhang, M.1 |
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| Affiliation | - National Research Council of Canada. Automotive and Surface Transportation
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| Format | Text, Article |
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| Conference | 9th European Workshop on Structural health Monitoring, July 10-13, 2018, Manchester, UK |
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| Subject | civil engineering; novel techniques; rail and axle testing; sensors; strain; stress |
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| Abstract | With one of the most extensive rail networks in the world (48,000 km of track), rail transportation is vital to Canada. Newer, more powerful locomotives hauling heavier freight at higher operating speeds are capable of producing twice the tractive effort of older locomotives. This has raised concerns regarding the risks associated with exceeding the longitudinal load carrying capacity of in-service rail support systems (e.g. bridges). There is now a growing need to investigate the longitudinal stresses that rails are being subjected to and to evaluate the potential requirement for rail rehabilitation. Past studies exploring structural health monitoring (SHM) techniques for rail infrastructure have focused on the application of discrete strain sensor technologies making it difficult to understand the rail’s full strain profile under locomotive loading. This paper introduces a series of dynamic field tests conducted to assess the suitability of both distributed and discrete sensors to measure longitudinal rail strain under locomotive braking. A distributed fibre optic sensor based on Rayleigh backscatter in addition to adhesive and friction bonded foil strain gauges were used. Conclusions will be drawn as to the most applicable rail monitoring technology and future research directions will be outlined. |
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| Publication date | 2018-11 |
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| Publisher | NDT.net |
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| In | |
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| Language | English |
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| Peer reviewed | No |
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| NPARC number | 23004536 |
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| Export citation | Export as RIS |
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| Report a correction | Report a correction (opens in a new tab) |
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| Record identifier | 053c81a1-2deb-44a1-a131-90746f72bd02 |
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| Record created | 2018-11-15 |
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| Record modified | 2020-05-30 |
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