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Research Program
New Software and Platforms
Bibliography
Research Program
New Software and Platforms
Bibliography


Section: New Results

Multifidelity surrogate modeling based on Radial Basis Functions

Participants : Jean-Antoine Désidéri, Cédric Durantin [CEA LETI Grenoble, doctoral student] , Alain Glière [CEA LETI Grenoble, research engineer] , Justin Rouxel [CEA LETI Grenoble, doctoral student] .

Multiple models of a physical phenomenon are sometimes available with different levels of approximation. The high fidelity model is more computation-ally demanding than the coarse approximation. In this context, including information from the lower fidelity model to build a surrogate model is desirable. Here, the study focuses on the design of a miniaturized photoacoustic gas sensor which involves two numerical mod- els. First, a multifidelity metamodeling method based on Radial Basis Function, the co-RBF, is proposed. This surrogate model is compared with the classical co-kriging method on two analytical benchmarks and on the photoacoustic gas sensor. Then an extension to the multifidelity framework of an already existing RBF- based optimization algorithm is applied to optimize the sensor efficiency. The co-RBF method brings promising results on a problem in larger dimension and can be considered as an alternative to co-kriging for multifidelity metamodeling.