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Civil-Comp Proceedings
ISSN 1759-3433
CCP: 105
PROCEEDINGS OF THE NINTH INTERNATIONAL CONFERENCE ON ENGINEERING COMPUTATIONAL TECHNOLOGY
Edited by:
Paper 1

Efficient Wear Models for the Analysis of Wheel and Rail Profile Wear on Complex Railway Lines

A. Innocenti, L. Marini, E. Meli, G. Pallini and A. Rindi

Department of Industrial Engineering
University of Florence, Firenze, Italy

Full Bibliographic Reference for this paper
A. Innocenti, L. Marini, E. Meli, G. Pallini, A. Rindi, "Efficient Wear Models for the Analysis of Wheel and Rail Profile Wear on Complex Railway Lines", in , (Editors), "Proceedings of the Ninth International Conference on Engineering Computational Technology", Civil-Comp Press, Stirlingshire, UK, Paper 1, 2014. doi:10.4203/ccp.105.1
Keywords: wear, wheel and rail profiles, wheel-rail contact, multibody modelling, railway vehicles.

Summary
In railway applications, the wear estimation at the point of wheel-rail contact is an important field of study, mainly correlated to the planning of maintenance interventions, vehicle stability and the possibility to carry out specific strategies for the wheel profile optimization. In this paper the authors present a model for the evaluation of the wheel and rail profile evolution resulting from wear specially developed for complex railway networks. The model layout is made up of two mutually interactive but separate units: a vehicle model for the dynamical analysis and a model for the wear evaluation. To study complex railway lines the authors also proposed a new statistical approach for the railway track description in order to achieve general significant accurate results in a reasonable time. The wear model has been validated in collaboration with Trenitalia S.P.A and Rete Ferroviaria Italiana (RFI), which have provided the technical documentation and the experimental data relating to some tests performed on a scenario that exhibits serious problems in terms of wear: the vehicle DMU ALn 501 Minuetto circulating on the Aosta-Pre Saint Didier Italian line.

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