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Conference papers
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.
Cited literature [14 references]
https://hal-upec-upem.archives-ouvertes.fr/hal-01192562
Contributor : Christian Soize <>
Submitted on : Wednesday, September 2, 2015 - 10:17:28 PM
Last modification on : Thursday, March 19, 2020 - 11:52:04 AM
Long-term archiving on: : Wednesday, April 26, 2017 - 2:05:08 PM
Contributor : Christian Soize <>
Submitted on : Wednesday, September 2, 2015 - 10:17:28 PM
Last modification on : Thursday, March 19, 2020 - 11:52:04 AM
Long-term archiving on: : Wednesday, April 26, 2017 - 2:05:08 PM
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