Long time evolution of train dynamics with respect to track geometry
| Autor: | Lestoille, N., Christian Soize, Perrin, G., Fünfschilling, C. |
|---|---|
| Přispěvatelé: | Soize, Christian, Laboratoire de Modélisation et Simulation Multi Echelle (MSME), Université Paris-Est Marne-la-Vallée (UPEM)-Université Paris-Est Créteil Val-de-Marne - Paris 12 (UPEC UP12)-Centre National de la Recherche Scientifique (CNRS), SNCF - Direction de l'Innovation et de la Recherche, SNCF, Laboratoire Navier (navier umr 8205), Institut Français des Sciences et Technologies des Transports, de l'Aménagement et des Réseaux (IFSTTAR)-École des Ponts ParisTech (ENPC)-Centre National de la Recherche Scientifique (CNRS), This work was supported by SNCF, France, Centre National de la Recherche Scientifique (CNRS)-Université Paris-Est Créteil Val-de-Marne - Paris 12 (UPEC UP12)-Université Paris-Est Marne-la-Vallée (UPEM) |
| Jazyk: | angličtina |
| Rok vydání: | 2014 |
| Předmět: |
[MATH.MATH-PR]Mathematics [math]/Probability [math.PR]
[MATH.MATH-PR] Mathematics [math]/Probability [math.PR] [MATH.MATH-ST]Mathematics [math]/Statistics [math.ST] igh speed train dynamics long time evolution stochastic dynamics vehicle-track coupling [SPI.MECA]Engineering Sciences [physics]/Mechanics [physics.med-ph] [SPI.MECA] Engineering Sciences [physics]/Mechanics [physics.med-ph] [MATH.MATH-ST] Mathematics [math]/Statistics [math.ST] track irregularities stochastic modeling |
| Zdroj: | HAL The Second International Conference on Railway Technology: Research, Development and Maintenance (RAILWAYS 2014) The Second International Conference on Railway Technology: Research, Development and Maintenance (RAILWAYS 2014), Apr 2014, Ajaccio, France. pp.1-14 |
| Popis: | International audience; 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. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|