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ISSN 2753-3239
CCC: 1
PROCEEDINGS OF THE FIFTH INTERNATIONAL CONFERENCE ON RAILWAY TECHNOLOGY: RESEARCH, DEVELOPMENT AND MAINTENANCE
Edited by: J. Pombo
Paper 31.6

Multibody Modelling of a Friction Damped Locomotive for Virtual Homologation

P. Millan1, J. Pagaimo1, P. Antunes1,2, H. Magalhaes1 and J. Ambrósio1

1LAETA, IDMEC, Instituto Superior Técnico, Universidade de Lisboa, Lisboa, Portugal
2Institute of Railway Research, University of Huddersfield, Huddersfield, UK

Full Bibliographic Reference for this paper
P. Millan, J. Pagaimo, P. Antunes, H. Magalhaes, J. Ambrósio, "Multibody Modelling of a Friction Damped Locomotive for Virtual Homologation", in J. Pombo, (Editor), "Proceedings of the Fifth International Conference on Railway Technology: Research, Development and Maintenance", Civil-Comp Press, Edinburgh, UK, Online volume: CCC 1, Paper 31.6, 2022, doi:10.4203/ccc.1.31.6
Keywords: railway dynamics, multibody systems, clearance joints, friction modelling.

Abstract
Multibody analysis tools are employed in railway dynamics, including virtual homologation studies. However, the friction modelling decisions of freight vehicles may impact the homologation quantities that are required in the standards. This work provides a study on the effects of using different friction models and the selection of the friction coefficients on the homologation quantities presented in the standard EN14363. In the multibody code used in this work, MUBODyn, a friction-damped locomotive is modelled using clearance joints, which requires the geometry of the friction mechanisms and the selection of normal and tangential contact forces models. Three tangential contact force models are considered in this work, namely the Amonton-Coulomb with Threlfall Smoothing static friction model, the Bengisu-Akay static friction model and the Gonthier dynamic friction model. The results suggest that different friction models provide similar results when the parameters of the models are well tuned. Therefore, the preferable friction model can be selected based on computational efficiency. In contrast, the selection of the friction coefficients has an impact on the homologation results in track zones with smaller radius curves. Therefore, the uncertainties regarding the friction coefficients should be considered to account for the most extreme scenarios.

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