Géraud Blatman
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Adaptive sparse polynomial chaos expansion based on least angle regression
G Blatman, B Sudret
Journal of computational Physics 230 (6), 2345-2367, 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
Efficient computation of global sensitivity indices using sparse polynomial chaos expansions
G Blatman, B Sudret
Reliability Engineering & System Safety 95 (11), 1216-1229, 2010
Adaptive sparse polynomial chaos expansions for uncertainty propagation and sensitivity analysis
G Blatman
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
Quasi random numbers in stochastic finite element analysis
G Blatman, B Sudret, M Berveiller
Mechanics & Industry 8 (3), 289-297, 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
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
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
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
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
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
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
Response surfaces based on polynomial chaos expansions
B Sudret, G Blatman, M Berveiller
Construction reliability: safety, variability and sustainability, 147-167, 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
Chaos polynomial creux et adaptatif pour la propagation d'incertitudes et l'analyse de sensibilité
G Blatman
Université Blaise Pascal-Clermont-Ferrand II, 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
Probabilistic risk bounds for the characterization of radiological contamination
G Blatman, T Delage, B Iooss, N Pérot
arXiv preprint arXiv:1701.02373, 2016
Adaptive sparse polynomial chaos expansions-Application to structural reliability
G Blatman, B Sudret
Proc. 4th Int. ASRANet Colloquium, Athenes, Greece, 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
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