| Global sensitivity analysis using polynomial chaos expansions B Sudret Reliability engineering & system safety 93 (7), 964-979, 2008 | 2750 | 2008 |
| Adaptive sparse polynomial chaos expansion based on least angle regression G Blatman, B Sudret Journal of computational Physics 230 (6), 2345-2367, 2011 | 1492 | 2011 |
| UQLab: A framework for uncertainty quantification in Matlab S Marelli, B Sudret Vulnerability, uncertainty, and risk: quantification, mitigation, and …, 2014 | 1061 | 2014 |
| 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 | 1023* | 2000 |
| 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 | 964 | 2010 |
| Metamodel-based importance sampling for structural reliability analysis V Dubourg, B Sudret, F Deheeger Probabilistic Engineering Mechanics 33, 47-57, 2013 | 585 | 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 | 571 | 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 | 544 | 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 | 476 | 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 | 467 | 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 | 427 | 2010 |
| Polynomial-chaos-based Kriging R Schobi, B Sudret, J Wiart International Journal for Uncertainty Quantification 5 (2), 2015 | 373 | 2015 |
| 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 | 350 | 2008 |
| Comparison of finite element reliability methods B Sudret, A Der Kiureghian Probabilistic Engineering Mechanics 17 (4), 337-348, 2002 | 342 | 2002 |
| Analytical derivation of the outcrossing rate in time-variant reliability problems B Sudret Structure and Infrastructure Engineering 4 (5), 353-362, 2008 | 314 | 2008 |
| UQLab user manual–Polynomial chaos expansions S Marelli, B Sudret Chair of risk, safety & uncertainty quantification, ETH Zürich, 0.9-104 …, 2015 | 309 | 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 | 289 | 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 | 275 | 2015 |
| Meta-models for structural reliability and uncertainty quantification B Sudret Proc. 5th Asian-Pacific Symposium on Structural Reliability (APSSRA’2012 …, 2012 | 248 | 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 | 247 | 2018 |
Stefano MarelliSenior Scientist, Lecturer - ETH ZurichVerified email at ibk.baug.ethz.ch
