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PROCEEDINGS OF THE TWELFTH INTERNATIONAL CONFERENCE ON COMPUTATIONAL STRUCTURES TECHNOLOGY
Construction of a Metamodel Based on Partially Converged Data in the Context of Assembly Design
N. Courrier, P.-A. Boucard and B. Soulier
LMT-Cachan, ENS Cachan, CNRS, PRES, UniverSud Paris Cachan, France
N. Courrier, P.-A. Boucard, B. Soulier, "Construction of a Metamodel Based on Partially Converged Data in the Context of Assembly Design", in , (Editors), "Proceedings of the Twelfth International Conference on Computational Structures Technology", Civil-Comp Press, Stirlingshire, UK, Paper 189, 2014. doi:10.4203/ccp.106.189
Keywords: metamodel, multi-fidelity, partially converged data, cokriging..
This paper is concerned with the use of multi-fidelity strategies to compute an appropriate metamodel (or surrogate model) faster than with the traditional methods. In this paper, what we call multi-fidelity is the possibility to compute data with several level of precision. Multi-fidelity metamodeling refers to the enhanced prediction of the output of a complex system by incorporating auxiliary fast-to-obtain data of lower fidelity. The techniques presented in this paper are available for several level of fidelity but only two levels are used here. The LATIN algorithm (an iterative algorithm) paired with a "multiparametric" strategy is used to compute the different data and their different levels of precision by using an error indicator. Five methods to compute an accurate metamodel with low and high fidelity data are compared using two mechanical examples.
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