Stochastic modeling of train dynamics under effect of track irregularities and experimental comparisons

International audienceThis paper aims at modeling all the uncertainties which are encountered when simulating the high-speed train dynamic response for a given track portion. The built model allows us to observe the long-time evolution of the train dynamic response for this track portion. 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 trains. A double approach is used to build the model. First, the global stochastic model of track irregularities previously defined is adapted to the given track portion. Then, modeling uncertainties in the computational model of the train are represented by a noise added to the output response of the train dynamics simulation. This additive noise is represented by a polynomial chaos expansion which is identified with measurements. Robust train-dynamics indicators are set up to observe the long-time evolution of the train dynamic response