| Adaptive sparse polynomial chaos expansion based on least angle regression G Blatman, B Sudret Journal of computational Physics 230 (6), 2345-2367, 2011 | 1411 | 2011 |
| 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 | 926 | 2010 |
| Efficient computation of global sensitivity indices using sparse polynomial chaos expansions G Blatman, B Sudret Reliability Engineering & System Safety 95 (11), 1216-1229, 2010 | 417 | 2010 |
| Adaptive sparse polynomial chaos expansions for uncertainty propagation and sensitivity analysis G Blatman | 357 | 2009 |
| 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 | 346 | 2008 |
| Quasi random numbers in stochastic finite element analysis G Blatman, B Sudret, M Berveiller Mechanics & Industry 8 (3), 289-297, 2007 | 56 | 2007 |
| Sparse polynomial chaos expansions of vector-valued response quantities G Blatman, B Sudret Safety, reliability, risk and life-cycle performance of structures and …, 2013 | 51 | 2013 |
| Model assisted probability of detection curves: New statistical tools and progressive methodology L Le Gratiet, B Iooss, G Blatman, T Browne, S Cordeiro, B Goursaud Journal of Nondestructive Evaluation 36 (1), 8, 2017 | 50 | 2017 |
| Anisotropic parcimonious polynomial chaos expansions based on the sparsity-of-effects principle G Blatman, B Sudret Proc ICOSSAR’09, International Conference in Structural Safety and Relability, 2009 | 30 | 2009 |
| Principal component analysis and Least Angle Regression in spectral stochastic finite element analysis G Blatman, B Sudret Proc. 11th Int. Conf. on Applications of Stat. and Prob. in Civil …, 2011 | 27 | 2011 |
| Some new insights in derivative-based global sensitivity measures B Iooss, AL Popelin, G Blatman, C Ciric, F Gamboa, S Lacaze, M Lamboni Proceedings of the PSAM11 ESREL 2012 Conference, 1094-1104, 2012 | 25 | 2012 |
| Probabilistic approaches to compute uncertainty intervals and sensitivity factors of ultrasonic simulations of a weld inspection F Rupin, G Blatman, S Lacaze, T Fouquet, B Chassignole Ultrasonics 54 (4), 1037-1046, 2014 | 22 | 2014 |
| Reliability of dynamic simulation models for building energy in the context of low-energy buildings S Bontemps, A Kaemmerlen, G Blatman, L Mora Proceedings of BS2013, 1952-1959, 2013 | 22 | 2013 |
| Response surfaces based on polynomial chaos expansions B Sudret, G Blatman, M Berveiller Construction reliability: safety, variability and sustainability, 147-167, 2013 | 15 | 2013 |
| A comparison of three metamodel-based methods for global sensitivity analysis: GP modelling, HDMR and LAR-gPC G Blatman, B Sudret Procedia-Social and Behavioral Sciences 2 (6), 7613-7614, 2010 | 14 | 2010 |
| Chaos polynomial creux et adaptatif pour la propagation d'incertitudes et l'analyse de sensibilité G Blatman Université Blaise Pascal-Clermont-Ferrand II, 2009 | 14 | 2009 |
| Quasi random numbers in stochastic finite element analysis–application to global sensitivity analysis B Sudret, G Blatman, M Berveiller Proc. 10th Int. Conf. on Applications of Stat. and Prob. in Civil …, 2007 | 14 | 2007 |
| Probabilistic risk bounds for the characterization of radiological contamination G Blatman, T Delage, B Iooss, N Pérot arXiv preprint arXiv:1701.02373, 2016 | 10 | 2016 |
| Adaptive sparse polynomial chaos expansions-Application to structural reliability G Blatman, B Sudret Proc. 4th Int. ASRANet Colloquium, Athenes, Greece, 2008 | 7 | 2008 |
| Statistical analyses of high cycle fatigue French data for austenitic SS G Blatman, T Métais, JC Le Roux, S Cambier Pressure Vessels and Piping Conference 46001, V003T03A059, 2014 | 6 | 2014 |
Bruno SudretETH ZurichAdresse e-mail validée de ethz.ch
