Long time evolution of train dynamics with respect to track geometry

N. Lestoille (1, 2) , Christian Soize (1) , G. Perrin (1, 2, 3) , C. Fünfschilling (2)

1 MSME - Laboratoire de Modélisation et Simulation Multi Echelle
2 SNCF - Direction de l'Innovation et de la Recherche
3 navier umr 8205 - Laboratoire Navier

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.

Mots clés: igh speed train dynamics; stochastic modeling; track irregularities; stochastic dynamics; long time evolution; vehicle-track coupling

Domaines: Mécanique [physics.med-ph]; Probabilités [math.PR]; Statistiques [math.ST]

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⟩