Abstract
The wheel wear prediction is a key-topic in the field of railway research as it
has big impact on economical and safety aspects of trainset design, operation
and maintenance. The aim of this work was to implement a flexible and predictive
railway wheel wear tool that, starting from a specific vehicle mission,
provides the wheel profile evolution as a function of the distance run. The wear
estimation tool consists of the use of a sequence of pre and post-processing
packages, in which the methodologies now presented are implemented, interfaced
with a commercial multibody software that is used to study the railway
dynamics. The computational tool is applied here to several simulation scenarios.
The purpose is to demonstrate its capabilities on wear prediction by
evaluating the influence of trainset design and of track layout on the wheel
wear growth. Special attention is also given to study how the wear evolution
is affected by the friction conditions between the wheel and rail.
Original language | English |
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Pages (from-to) | 751-770 |
Number of pages | 20 |
Journal | Journal of Theoretical and Applied Mechanics |
Volume | 48 |
Issue number | 3 |
Publication status | Published - 2010 |