Long time evolution of train dynamics with respect to track geometry

Abstract : This paper aims at characterizing the long time evolution of the vehicle-track system. The knowledge of the evolution of such a system is of great concern for the railway industry, in order to maintain a high level of safety and comfort in the high speed trains. We propose a computational stochastic approach to predict the long time evolution of a given track portion. The approach is based on an adaptation of the global stochastic model of track irregularities previously identified with a large experimental data basis. The nonlinear stochastic dynamics of the train excited by track irregularities are carried out using a computational multibody dynamics model. Some indicators concerning the dynamic responses of the train are introduced in order to start off the maintenance or not of the given track portion.
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Submitted on : Sunday, May 11, 2014 - 4:19:52 PM
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  • HAL Id : hal-00989424, version 1

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N. Lestoille, Christian Soize, G. Perrin, C. Fünfschilling. Long time evolution of train dynamics with respect to track geometry. The Second International Conference on Railway Technology: Research, Development and Maintenance (RAILWAYS 2014), Apr 2014, Ajaccio, France. pp.1-14. ⟨hal-00989424⟩

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