Characterisation of track buckling resistance
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| Název: | Characterisation of track buckling resistance |
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| Autoři: | Kabo, Elena, 1972, Ekberg, Anders, 1967 |
| Zdroj: | In2Track-2 (CHARMEC EU19) IAM4RAIL Driving research and innovation to push Europe's rail system forward (IN2TRACK3) Proceedings of the Institution of Mechanical Engineers, Part F: Journal of Rail and Rapid Transit. 238(7):786-794 |
| Témata: | railway track, numerical simulations, failure reports, data analysis, parametric influence, Thermal buckling |
| Popis: | This study sets out with a network-wide analysis of the risk for track buckling that concludes that track buckling relates to a few “weak points” along the track. To identify these, a numerical model to predict track buckling resistance is developed. The influences of key track parameters are evaluated and quantified using the innovative concept of an equivalent temperature. This allows to quantify the large influence of for example, curves and hanging sleepers in terms of an equivalent increase in temperature. Influence of less well-defined track parameters such as nearby fixed points or recent track work is estimated through statistical assessment of track buckling reports. Predicted influence generally agrees with empirical knowledge with some exceptions that are discussed in the report. Developed models and produced results should be valuable in identifying track sections at risk of track buckling and in assessing effectiveness of mitigating actions. |
| Popis souboru: | electronic |
| Přístupová URL adresa: | https://research.chalmers.se/publication/539997 https://research.chalmers.se/publication/539820 https://research.chalmers.se/publication/539771 https://research.chalmers.se/publication/539997/file/539997_Fulltext.pdf |
| Databáze: | SwePub |
Nájsť tento článok vo Web of Science | Abstrakt: | This study sets out with a network-wide analysis of the risk for track buckling that concludes that track buckling relates to a few “weak points” along the track. To identify these, a numerical model to predict track buckling resistance is developed. The influences of key track parameters are evaluated and quantified using the innovative concept of an equivalent temperature. This allows to quantify the large influence of for example, curves and hanging sleepers in terms of an equivalent increase in temperature. Influence of less well-defined track parameters such as nearby fixed points or recent track work is estimated through statistical assessment of track buckling reports. Predicted influence generally agrees with empirical knowledge with some exceptions that are discussed in the report. Developed models and produced results should be valuable in identifying track sections at risk of track buckling and in assessing effectiveness of mitigating actions. |
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| ISSN: | 09544097 20413017 |
| DOI: | 10.1177/09544097241231884 |