273 citations · 406 across the 10 of their papers we have counts for
6 papers · 1 filter
High-dimensional reliability-based design optimization using stochastic emulators
M. Moustapha, B. Sudret
Reliability-based design optimization (RBDO) is traditionally formulated as a nested optimization and reliability problem and remains computationally demanding, especially in high…
Reliability analysis for non-deterministic limit-states using stochastic emulators
Anderson V. Pires, Maliki Moustapha, Stefano Marelli +1
Reliability analysis is a sub-field of uncertainty quantification that assesses the probability of a system performing as intended under various uncertainties. Traditionally, this…
Reliability analysis for data-driven noisy models using active learning
Anderson V. Pires, Maliki Moustapha, Stefano Marelli +1
Reliability analysis aims at estimating the failure probability of an engineering system. It often requires multiple runs of a limit-state function, which usually relies on computa…
Active learning for structural reliability: survey, general framework and benchmark
M. Moustapha, S. Marelli, B. Sudret
Active learning methods have recently surged in the literature due to their ability to solve complex structural reliability problems within an affordable computational cost. These…
A two-level Kriging-based approach with active learning for solving time-variant risk optimization problems
H. M. Kroetz, M. Moustapha, A. T. Beck +1
Several methods have been proposed in the literature to solve reliability-based optimization problems, where failure probabilities are design constraints. However, few methods addr…
Quantile-based optimization under uncertainties using adaptive Kriging surrogate models
M. Moustapha, B. Sudret, J. -M. Bourinet +1
Uncertainties are inherent to real-world systems. Taking them into account is crucial in industrial design problems and this might be achieved through reliability-based design opti…