394 citations · 2.7k across the 50 of their papers we have counts for
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Learning non-stationary and discontinuous functions using clustering, classification and Gaussian process modelling
M. Moustapha, B. Sudret
Surrogate models have shown to be an extremely efficient aid in solving engineering problems that require repeated evaluations of an expensive computational model. They are built b…
Seismic fragility analysis using stochastic polynomial chaos expansions
X. Zhu, M. Broccardo, B. Sudret
Within the performance-based earthquake engineering (PBEE) framework, the fragility model plays a pivotal role. Such a model represents the probability that the engineering demand…
A spectral surrogate model for stochastic simulators computed from trajectory samples
Nora Lüthen, Stefano Marelli, Bruno Sudret
Stochastic simulators are non-deterministic computer models which provide a different response each time they are run, even when the input parameters are held at fixed values. They…
Multi-objective robust optimization using adaptive surrogate models for problems with mixed continuous-categorical parameters
M. Moustapha, A. Galimshina, G. Habert +1
Explicitly accounting for uncertainties is paramount to the safety of engineering structures. Optimization which is often carried out at the early stage of the structural design of…