394 citations · 2.7k across the 50 of their papers we have counts for
7 papers · 2 filters
Hierarchical Kriging for multi-fidelity aero-servo-elastic simulators - Application to extreme loads on wind turbines
I. Abdallah, C. Lataniotis, B. Sudret
In the present work, we consider multi-fidelity surrogate modelling to fuse the output of multiple aero-servo-elastic computer simulators of varying complexity. In many instances,…
The Gaussian process modelling module in UQLab
C. Lataniotis, S. Marelli, B. Sudret
We introduce the Gaussian process (GP) modelling module developed within the UQLab software framework. The novel design of the GP-module aims at providing seamless integration of G…
Principal component analysis and sparse polynomial chaos expansions for global sensitivity analysis and model calibration: application to urban drainage simulation
Joseph B. Nagel, Jörg Rieckermann, Bruno Sudret
This paper presents an efficient surrogate modeling strategy for the uncertainty quantification and Bayesian calibration of a hydrological model. In particular, a process-based dyn…
An active-learning algorithm that combines sparse polynomial chaos expansions and bootstrap for structural reliability analysis
S. Marelli, B. Sudret
Polynomial chaos expansions (PCE) have seen widespread use in the context of uncertainty quantification. However, their application to structural reliability problems has been hind…
Global sensitivity analysis in the context of imprecise probabilities (p-boxes) using sparse polynomial chaos expansions
R. Schöbi, B. Sudret
Global sensitivity analysis aims at determining which uncertain input parameters of a computational model primarily drives the variance of the output quantities of interest. Sobol'…
Structural reliability analysis for p-boxes using multi-level meta-models
R. Schöbi, B. Sudret
In modern engineering, computer simulations are a popular tool to analyse, design, and optimize systems. Furthermore, concepts of uncertainty and the related reliability analysis a…