Sequential designs for sensitivity analysis of functional inputs in computer experiments

Abstract : Computer experiments are nowadays commonly used to analyze industrial processes aiming at achieving a wanted outcome. Sensitivity analysis plays an important role in exploring the actual impact of adjustable parameters on the response variable. In this work we focus on sensitivity analysis of a scalar-valued output of a time-consuming computer code depending on scalar and functional input parameters. We investigate a sequential methodology, based on piecewise constant functions and sequential bifurcation, which is both economical and fully interpretable. The new approach is applied to a sheet metal forming problem in three sequential steps, resulting in new insights into the behavior of the forming process over time.
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Reliability Engineering and System Safety, Elsevier, 2015, 134, pp.Pages 260-267. 〈http://www.sciencedirect.com/science/journal/09518320〉. 〈10.1016/j.ress.2014.07.018〉
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https://hal-emse.ccsd.cnrs.fr/emse-01146010
Contributeur : Florent Breuil <>
Soumis le : lundi 27 avril 2015 - 14:37:54
Dernière modification le : jeudi 11 janvier 2018 - 06:22:26

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Jana Fruth, Olivier Roustant, Sonja Kuhnt. Sequential designs for sensitivity analysis of functional inputs in computer experiments. Reliability Engineering and System Safety, Elsevier, 2015, 134, pp.Pages 260-267. 〈http://www.sciencedirect.com/science/journal/09518320〉. 〈10.1016/j.ress.2014.07.018〉. 〈emse-01146010〉

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