2MSME - Laboratoire de Modélisation et Simulation Multi Echelle (Université Paris-Est, 5 Bd Descartes, 77454 Marne-la-Vallée, Cedex 2
Université Paris-Est Créteil Val de Marne(UPEC) Faculté des Sciences et Technologie - Equipe de Biomécanique
61 avenue du général de Gaulle 94010 Créteil Cedex - France)
Abstract : The objective of the work presented here is to perform the Bayesian calibration of parameters describing the mechanical properties of high-speed train suspensions for maintenance purposes. This calibration requires joint measurements of the track geometric irregularities and of the train dynamic response. The calculation of the likelihood function relies on simulation, which makes it computationally expensive. Therefore, the likelihood function is represented by a Kriging metamodel. We present a calibration method that allows for taking into account the uncertainty introduced by the use of this metamodel.
https://hal-upec-upem.archives-ouvertes.fr/hal-01810455
Contributor : Christian Soize
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Submitted on : Thursday, June 7, 2018 - 9:50:35 PM
Last modification on : Thursday, July 18, 2019 - 4:36:07 PM
David Lebel, Christian Soize, Christine Funfschilling, Guillaume Perrin. Bayesian calibration of high-speed train suspensions parameters using Kriging metamodeling. IMAC XXXVIII, Feb 2018, Orlando, Florida, United States. pp.1-3. ⟨hal-01810455⟩
