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Computational strategy for the crash design analysis using an uncertain computational mechanical model

Abstract : The framework of this paper is the robust crash analysis of a motor vehicle. The crash analysis is carried out with an uncertain computational model for which uncertainties are taken into account with the parametric probabilistic approach and for which the stochastic solver is the Monte Carlo method. During the design process, different configurations of the motor vehicle are analyzed. Usual interpolation methods cannot be used to predict if the current configuration is similar or not to one of the previous configurations already analyzed and for which a complete stochastic computation has been carried out. In this paper, we propose a new indicator that allows to decide if the current configuration is similar to one of the previous analyzed configurations while the Monte Carlo simulation is not finished and therefore, to stop the Monte Carlo simulation before the end of computation.
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https://hal-upec-upem.archives-ouvertes.fr/hal-00757232
Contributor : C. Desceliers <>
Submitted on : Monday, November 26, 2012 - 4:53:44 PM
Last modification on : Thursday, March 19, 2020 - 11:52:03 AM
Long-term archiving on: : Wednesday, February 27, 2013 - 3:44:56 AM

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Christophe Desceliers, Christian Soize, M. Zarroug. Computational strategy for the crash design analysis using an uncertain computational mechanical model. Computational Mechanics, Springer Verlag, 2013, 52 (2), pp.453-462. ⟨10.1007/s00466-012-0822-7⟩. ⟨hal-00757232⟩

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