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https://doi.org/10.4203/ccp.98...
Article . 2012 . Peer-reviewed
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The Suitability of Using Accumulated Plastic Strain to Assess the Damage at the Rail-Wheel Interfaces

Authors: Wickramasinghe, Munidasa; Hargreaves, Doug; De Pellegrin, Dennis;

The Suitability of Using Accumulated Plastic Strain to Assess the Damage at the Rail-Wheel Interfaces

Abstract

Numerous Abaqus [1] finite element analyses have been carried out using various plasticity models to investigate the effect of friction force on the rail head in relation to both the development of the accumulated plastic strain (PEEQ) and the changes in the depth of PEEQ distribution in the wheel-rail contact. The normal force distribution on the rail head was assumed to be Hertzian. The tangential force was implemented as a fraction of the normal force in the subroutine. Each analysis was carried out for a single pass and the effect of various friction coefficient values has been observed.

Country
Australia
Related Organizations
Keywords

plastic equivalent strain, material plasticity, Abaqus simulations, pressure load, finite element modelling, Hertzian contact theory, wheel-rail contact

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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!
0
Average
Average
Average
Green