Monte Carlo methods. Vol. 1: basics
Monte Carlo methods. Vol. 1: basics
A guide to simulation (2nd ed.)
A guide to simulation (2nd ed.)
Kendall's advanced theory of statistics
Kendall's advanced theory of statistics
Stochastic finite elements: a spectral approach
Stochastic finite elements: a spectral approach
Physica D - Special issue originating from the 18th Annual International Conference of the Center for Nonlinear Studies, Los Alamos, NM, May 11&mdash ;15, 1998
Introduction to Stochastic Search and Optimization
Introduction to Stochastic Search and Optimization
Elements of Information Theory (Wiley Series in Telecommunications and Signal Processing)
Elements of Information Theory (Wiley Series in Telecommunications and Signal Processing)
Simulation and the Monte Carlo Method (Wiley Series in Probability and Statistics)
Simulation and the Monte Carlo Method (Wiley Series in Probability and Statistics)
A survey on approaches for reliability-based optimization
Structural and Multidisciplinary Optimization
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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.