| Download | - View final version: A rail corrugation index to characterize noise impacts and grinding effectiveness on rail transit systems (PDF, 1.4 MiB)
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| DOI | Resolve DOI: https://doi.org/10.1177/09544097231214579 |
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| Author | Search for: Lasisi, AhmedORCID identifier: https://orcid.org/0000-0001-6890-1591; Search for: Carneiro, Julian; Search for: Regehr, Jonathan D.; Search for: Jeffrey, Ian; Search for: Magel, Eric1; Search for: Chénier, Sylvie1; Search for: Reimer, Mark |
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| Affiliation | - National Research Council of Canada. Automotive and Surface Transportation
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| Funder | Search for: National Research Council Canada |
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| Format | Text, Article |
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| Subject | rail corrugation; noise; rail corrugation index; rail transit systems |
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| Abstract | Despite general agreement that rail corrugation generates unwanted noise, there is a need to quantify the relationship between rail corrugation and noise and to leverage this relationship within preventive rail grinding programs. This paper develops a novel rail corrugation index (RCI) and demonstrates the suitability of that index to characterize the relationship between corrugation and noise, to assess grind effectiveness, and to predict noise as a function of rail corrugation. Using a time-series data set collected at a North American rail transit property, the proposed RCI illustrated corrugation growth as a function of accumulated tonnage and an expected reduction of corrugation after grinding. The RCI also correlated well with corresponding wayside noise observations. The evident response behavior and the relationship between rail corrugation and wayside noise gave rise to the assessment of grind effectiveness using the RCI. Further, a modelling effort demonstrated that noise can be predicted using the RCI calculated from only one rail (left or right) on a tangent section. This result suggests that there may also be an opportunity to predict corrugation using noise data, thus limiting the need for track downtime required to measure corrugation. |
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| Publication date | 2023-11-16 |
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| Publisher | SAGE Publications |
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| Licence | |
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| In | |
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| Language | English |
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| Peer reviewed | Yes |
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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 | 7b7b6ed2-5eb5-4767-8a1b-07898d74b157 |
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| Record created | 2024-04-15 |
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| Record modified | 2024-05-02 |
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