Characterization of the evolution of the train dynamic response under the effect of track irregularities

Abstract : There is a great interest to predict the long-time evolution of the track irregularities for a given track portion of the high-speed train network, in order to be able to anticipate the start off of the maintenance operations. In this paper, a stochastic predictive model is proposed for predicting the long-time evolution of a vector-valued random dynamic indicator related to the nonlinear dynamic responses of the high-speed train excited by the stochastic track irregularities. The long-time evolution of the vector-valued random indicator is modeled by a discrete non-Gaussian nonstationary stochastic model (ARMA type model), for which the coefficients are time-dependent. The quality assessment of the stochastic predictive model is presented, which validates the proposed stochastic model.
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Submitted on : Wednesday, September 2, 2015 - 10:17:28 PM
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Nicolas Lestoille, Christian Soize, Christine Funfschilling. Characterization of the evolution of the train dynamic response under the effect of track irregularities. 24th International Symposium on Dynamics of Vehicles on Roads and Tracks (IAVSD 2015), Aug 2015, Graz, Austria. pp.1-7. ⟨hal-01192562⟩

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