output
20152022
most citedAn active-learning algorithm that combines sparse polynomial chaos expansions and bootstrap for structural reliability analysis

297 citations

researchers with a paper here

Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.

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6 papers · 1 filter

stat.CO2022★ 25 cited

On off-line and on-line Bayesian filtering for uncertainty quantification of structural deterioration

Antonios Kamariotis, Luca Sardi, Iason Papaioannou +2

Data-informed predictive maintenance planning largely relies on stochastic deterioration models. Monitoring information can be utilized to update sequentially the knowledge on time…

stat.CO2017★ 93 cited

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…

stat.CO2017★ 297 cited

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…

stat.CO2017★ 5 cited

Hamiltonian Monte Carlo Methods for Subset Simulation in Reliability Analysis

Ziqi Wang, Marco Broccardo, Junho Song

This paper studies a non-random-walk Markov Chain Monte Carlo method, namely the Hamiltonian Monte Carlo (HMC) method in the context of Subset Simulation used for structural reliab…

stat.CO2015★ 38 cited

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…

stat.CO2015★ 97 cited

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…