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20242026
most citedReliability analysis for non-deterministic limit-states using stochastic emulators

7 citations · 14 across the 9 of their papers we have counts for

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stat.CO2024★ 7 cited

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…

stat.ME2024★ 6 cited

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…

stat.CO2024

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,…

stat.CO2024

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…

stat.ME2024★ 1 cited

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-…