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Article . 2022 . Peer-reviewed
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Thermal Buckling of Railways

Authors: Piloto, Paulo A.G.; Frigeri, Ary Vinicius Nervis; Minhoto, Manuel;

Thermal Buckling of Railways

Abstract

AbstractThis manuscript presents the results of numerical research regarding the thermal buckling on railway tracks. High temperatures may cause thermal buckling on the railways and due to this fact speed restrictions are often issued to reduce the probability of derailments. Railways are subject to thermal and mechanical loads in which, given some circumstances, buckling may take place. Continuous welded rail (CWR) is more prone to this effect than jointed rails since the longitudinal displacement is restrained. This research is focused on the effect of the track gauge, rail profile, initial imperfection amplitude, sleeper's elasticity modulus, torsional resistance of fastenings, and ballast resistance on the thermal buckling of railways. A total of 144 simulations were developed, concluding that the imperfection level and ballast resistance are the most affecting parameters on the buckling temperature.

Country
Portugal
Keywords

Finite elemnt analysis, Railway, Thermal buckling

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
2
Average
Average
Average
Green