394 citations · 2.7k across the 50 of their papers we have counts for
6 papers · 1 filter
Polynomial meta-models with canonical low-rank approximations: numerical insights and comparison to sparse polynomial chaos expansions
Katerina Konakli, Bruno Sudret
The growing need for uncertainty analysis of complex computational models has led to an expanding use of meta-models across engineering and sciences. The efficiency of meta-modelin…
Spectral likelihood expansions for Bayesian inference
Joseph B. Nagel, Bruno Sudret
A spectral approach to Bayesian inference is presented. It pursues the emulation of the posterior probability density. The starting point is a series expansion of the likelihood fu…
Hierarchical adaptive polynomial chaos expansions
Chu V. Mai, Bruno Sudret
Polynomial chaos expansions (PCE) are widely used in the framework of uncertainty quantification. However, when dealing with high dimensional complex problems, challenging issues n…
Polynomial-Chaos-based Kriging
R. Schoebi, B. Sudret, J. Wiart
Computer simulation has become the standard tool in many engineering fields for designing and optimizing systems, as well as for assessing their reliability. To cope with demanding…
Using sparse polynomial chaos expansions for the global sensitivity analysis of groundwater lifetime expectancy in a multi-layered hydrogeological model
G. Deman, K. Konakli, B. Sudret +3
The study makes use of polynomial chaos expansions to compute Sobol' indices within the frame of a global sensitivity analysis of hydro-dispersive parameters in a simplified vertic…
Characterization of random stress fields obtained from polycrystalline aggregate calculations using multi-scale stochastic finite elements
Bruno Sudret, Hung Xuan Dang, Marc Berveiller +2
The spatial variability of stress fields resulting from polycrystalline aggregate calculations involving random grain geometry and crystal orientations is investigated. A periodogr…