Bruno Sudret
Zitiert von
Zitiert von
Global sensitivity analysis using polynomial chaos expansions
B Sudret
Reliability engineering & system safety 93 (7), 964-979, 2008
Adaptive sparse polynomial chaos expansion based on least angle regression
G Blatman, B Sudret
Journal of computational Physics 230 (6), 2345-2367, 2011
Stochastic finite element methods and reliability: a state-of-the-art report
B Sudret, A Der Kiureghian
Department of Civil and Environmental Engineering, University of California, 2000
UQLab: A framework for uncertainty quantification in Matlab
S Marelli, B Sudret
Vulnerability, uncertainty, and risk: quantification, mitigation, and …, 2014
An adaptive algorithm to build up sparse polynomial chaos expansions for stochastic finite element analysis
G Blatman, B Sudret
Probabilistic Engineering Mechanics 25 (2), 183-197, 2010
Metamodel-based importance sampling for structural reliability analysis
V Dubourg, B Sudret, F Deheeger
Probabilistic Engineering Mechanics 33, 47-57, 2013
Stochastic finite element: a non intrusive approach by regression
M Berveiller, B Sudret, M Lemaire
European Journal of Computational Mechanics/Revue Européenne de Mécanique …, 2006
The PHI2 method: a way to compute time-variant reliability
C Andrieu-Renaud, B Sudret, M Lemaire
Reliability Engineering & System Safety 84 (1), 75-86, 2004
Reliability-based design optimization using kriging surrogates and subset simulation
V Dubourg, B Sudret, JM Bourinet
Structural and Multidisciplinary Optimization 44, 673-690, 2011
Uncertainty propagation and sensitivity analysis in mechanical models–Contributions to structural reliability and stochastic spectral methods
B Sudret
Habilitationa diriger des recherches, Université Blaise Pascal, Clermont …, 2007
Efficient computation of global sensitivity indices using sparse polynomial chaos expansions
G Blatman, B Sudret
Reliability Engineering & System Safety 95 (11), 1216-1229, 2010
Sparse polynomial chaos expansions and adaptive stochastic finite elements using a regression approach
G Blatman, B Sudret
Comptes rendus mécanique 336 (6), 518-523, 2008
Polynomial-chaos-based Kriging
R Schobi, B Sudret, J Wiart
International Journal for Uncertainty Quantification 5 (2), 2015
Comparison of finite element reliability methods
B Sudret, A Der Kiureghian
Probabilistic Engineering Mechanics 17 (4), 337-348, 2002
Analytical derivation of the outcrossing rate in time-variant reliability problems
B Sudret
Structure and Infrastructure Engineering 4 (5), 353-362, 2008
UQLab user manual–Polynomial chaos expansions
S Marelli, B Sudret
Chair of risk, safety & uncertainty quantification, ETH Zürich, 0.9-104 …, 2015
Rare event estimation using polynomial-chaos kriging
R Schöbi, B Sudret, S Marelli
ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A …, 2017
A new surrogate modeling technique combining Kriging and polynomial chaos expansions–Application to uncertainty analysis in computational dosimetry
P Kersaudy, B Sudret, N Varsier, O Picon, J Wiart
Journal of Computational Physics 286, 103-117, 2015
Meta-models for structural reliability and uncertainty quantification
B Sudret
Proc. 5th Asian-Pacific Symposium on Structural Reliability (APSSRA’2012 …, 2012
An active-learning algorithm that combines sparse polynomial chaos expansions and bootstrap for structural reliability analysis
S Marelli, B Sudret
Structural Safety 75, 67-74, 2018
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