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Article Dans Une Revue Computational Mechanics Année : 2019

Coupling multi-fidelity kriging and model-order reduction for the construction of virtual charts

David Néron
Felipe Bordeu

Résumé

This article presents the coupling between multi-fidelity kriging and a database generated on-the-fly by model reduction to accelerate the generation of a surrogate model. The two-level multi-fidelity kriging method Evofusion is used for data fusion. The remarkable point is the generation of low-fidelity and high-fidelity observations from the same solver using the Proper Generalized Decomposition, a model-order reduction method. A 17× speedup is obtained here on an elasto-viscoplastic test case.
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Dates et versions

hal-02169052 , version 1 (03-07-2019)

Identifiants

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Stéphane Nachar, Pierre-Alain Boucard, David Néron, Felipe Bordeu. Coupling multi-fidelity kriging and model-order reduction for the construction of virtual charts. Computational Mechanics, 2019, 64 (6), pp.1685-1697. ⟨10.1007/s00466-019-01745-9⟩. ⟨hal-02169052⟩
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