The LIAD team
Guillaume DAMBLIN
Engineer-researcherAprès un doctorat Cifre obtenu en 2015 fruit d'une collaboration entre EDF R&D et AgroParisTech, Guillaume intègre le CEA en tant qu'ingénieur chercheur sur la thématique de la quantification des incertitudes en simulation numérique. Son expertise porte sur la modélisation et la quantification des incertitudes de modèle dans les simulations thermohydrauliques, ainsi que sur le traitement des incertitudes paramétriques par approches bayésiennes en simulation multi-physique.
Publications list (non-exhaustive)
- O. BALDE, G. DAMBLIN, A. MARREL, A. BOULORE, L. GIRALDI, Nonparametric Bayesian approach for quantifying the conditional uncertainty of input parameters in chained numerical models, https://arxiv.org/abs/2307.01111, 2023.
- G. Damblin, F. Bachoc, S. Gazzo L. Sargentini et A. Ghione, A generalization of the CIRCE method for quantifying input model uncertainty in presence of several groups of experiments Nuclear Engineering and Design, 413:112527, 2023.
- R. Cocci, G. Damblin, A. Ghione, L. Sargentini, et D. Lucor, A comprehensive bayesian framework for the development, validation and uncertainty quantification of thermal- hydraulic models Annals of Nuclear Energy, 172:109029, 2022.
- G. Damblin et A. Ghione, Adaptive use of replicated latin hypercube designs for computing sobol’ sensitivity indices Reliability Engineering and System Safety, 212:107507, 2021.
- G. Damblin et P. Gaillard, Bayesian inference and non-linear extensions of the CIRCE method for quantifying the uncertainty of closure relationships integrated into thermal- hydraulic system codes. Nuclear Engineering and Design, 359:110391, 2020.