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Surrogate models for uncertainty quantification and design optimization
(2019)Nowadays computational models are used in virtually all fields of applied sciences and engineering to predict the behaviour of complex natural or man-made systems. Also known as simulators, they allow the engineer to assess the performance of a system in-silico, and then optimize its design or operating. Realistic models (e.g. finite element models) usually feature tens of parameters and are costly to run, even when taking full advantage ...Other Conference Item -
Mixing auto-regressive models and sparse polynomial chaos expansions for time-variant problems
(2016)UQ16 AbstractsOther Conference Item -
Derivative-based sensitivity indices based on polynomial chaos expansions
(2013)7th International Conference on Sensitivity Analysis of Model Output (SAMO 2013), July1-4, 2013, Nice, France - Oral Presentations ProceedingsOther Conference Item