Miguel Munoz Zuniga

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Within the structural reliability context, the aim of this paper is to present a new accelerated Monte-Carlo simulation method, named ADS Adaptive Directional Stratification -, and designed to overcome the following industrial constraints: robustness of the estimation of a low structural failure probability (less than 10−3), limited computational resources(More)
  • Achille Murangira, Miguel Munoz Zuniga, Timothée Perdrizet, A. Murangira, M. Munoz Zunigaa, T. Perdrizet
  • 2017
We present a method for reliability assessment through metamodel based importance sampling. The contribution is the use of the sufficient dimension reduction method which enables the construction of the limit state function Kriging surrogate in lower dimension. This metamodel is used to build an approximation of the optimal importance density as in the(More)
In the context of structural reliability, a small probability to be assessed, a high computational time model and a relatively large input dimension are typical constraints which brought together lead to an interesting challenge. Indeed, in this framework many existing stochastic methods fail in estimating the failure probability with robustness. Therefore,(More)
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