394 citations · 2.7k across the 50 of their papers we have counts for
59 papers
Surrogate modeling with functional nonlinear autoregressive models (F-NARX)
Styfen Schär, Stefano Marelli, Bruno Sudret
We propose a novel functional approach to surrogate modeling of dynamical systems with exogenous inputs. This approach, named Functional Nonlinear AutoRegressive with eXogenous inp…
UQ state-dependent framework for seismic fragility assessment of industrial components
C. Nardin, S. Marelli, O. S. Bursi +2
In this study, we propose a novel surrogate modelling approach to efficiently and accurately approximate the response of complex dynamical systems driven by time-varying Recently,…
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…
Uncertainty-aware multi-fidelity surrogate modeling with noisy data
Katerina Giannoukou, Stefano Marelli, Bruno Sudret
Emulating high-accuracy computationally expensive models is crucial for tasks requiring numerous model evaluations, such as uncertainty quantification and optimization. When lower-…
Emulating the dynamics of complex systems using autoregressive models on manifolds (mNARX)
Styfen Schär, Stefano Marelli, Bruno Sudret
We propose a novel surrogate modelling approach to efficiently and accurately approximate the response of complex dynamical systems driven by time-varying exogenous excitations ove…
Reliability analysis of arbitrary systems based on active learning and global sensitivity analysis
Maliki Moustapha, Pietro Parisi, Stefano Marelli +1
System reliability analysis aims at computing the probability of failure of an engineering system given a set of uncertain inputs and limit state functions. Active-learning solutio…