UQSay seminar #17: Robust certification by optimal UQ

2020-11-05 14:00 2020-11-05 15:00 UQSay seminar #17: Robust certification by optimal UQ

The expected performance of a system can generally differ from its operational performance due to the variability of some parameters. Optimal Uncertainty Quantification is a powerful mathematical tool that can be used to rigorously bound the probability of exceeding a given performance threshold for uncertain operational conditions or system characteristics. Metamodeling is at the heart of this research framework. In this perspective, Kernel Flow, a recent method to obtain a metamodel by kriging developed by Owhadi & Yoo, will be presented. The results obtained will be illustrated by examples in numerical and experimental aerodynamics.

Joint work with Eric Savin and Houman Owhadi.

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Thematique : Doctorat, Recherche

UQSay is a series of seminars on the broad area of Uncertainty Quantification (UQ) and related topics, organized by L2S, MSSMAT, LMT and EDF R&D.

  • Public
    Réservé à certains publics
  • Type d'évènement
    Conférence / séminaire
  • Dates
    Jeudi 5 novembre, 14h00
    02:00 pm - 03:00 pm
  • Lieu
    chez soi

The expected performance of a system can generally differ from its operational performance due to the variability of some parameters. Optimal Uncertainty Quantification is a powerful mathematical tool that can be used to rigorously bound the probability of exceeding a given performance threshold for uncertain operational conditions or system characteristics. Metamodeling is at the heart of this research framework. In this perspective, Kernel Flow, a recent method to obtain a metamodel by kriging developed by Owhadi & Yoo, will be presented. The results obtained will be illustrated by examples in numerical and experimental aerodynamics.

Joint work with Eric Savin and Houman Owhadi.