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.

collaborating institutions
Showing 2017Show all

4 papers · 1 filter

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.AP2017

Seismic fragility curves for structures using non-parametric representations

C. Mai, K. Konakli, B. Sudret

Fragility curves are commonly used in civil engineering to assess the vulnerability of structures to earthquakes. The probability of failure associated with a prescribed criterion…