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

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.