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Multidisciplinary optimization by surrogate models: handling epistemic uncertainties by polynomial chaos expansion

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https://hal.archives-ouvertes.fr/hal-02048281
Contributor : Pierre Naegelen <>
Submitted on : Monday, February 25, 2019 - 2:39:32 PM
Last modification on : Wednesday, June 24, 2020 - 4:18:56 PM

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  • HAL Id : hal-02048281, version 1

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S. Dubreuil, N. Bartoli, Christian Gogu, T. Lefebvre. Multidisciplinary optimization by surrogate models: handling epistemic uncertainties by polynomial chaos expansion. European Congress on Computational Methods in Applied Sciences and Engineering (ECCOMAS 2016) 5-10th June 2016, 2016, Crete, Greece. ⟨hal-02048281⟩

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