Skip to Main content Skip to Navigation
Conference papers

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.
Complete list of metadata

Cited literature [14 references]  Display  Hide  Download
Contributor : Christian Soize Connect in order to contact the contributor
Submitted on : Sunday, May 11, 2014 - 4:19:52 PM
Last modification on : Saturday, January 15, 2022 - 3:50:57 AM
Long-term archiving on: : Monday, April 10, 2017 - 8:22:18 PM


Files produced by the author(s)


  • HAL Id : hal-00989424, version 1


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⟩



Record views


Files downloads