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Article Dans Une Revue Journal of Global Optimization Année : 2016

Variable-fidelity modeling of structural analysis of assemblies

Résumé

This paper deals with the advantages of using variable-fidelity metamodeling strategies in order to develop a valid metamodel more rapidly than by using traditional methods. In our mechanical assembly design, we use the term “variable-fidelity” in reference to the convergence (or accuracy) level of the iterative solver being used. Variable-fidelity metamodeling is a way to improve the prediction of the output of a complex system by incorporating rapidly available auxiliary lower-fidelity data. This work uses two fidelity levels, but more levels can be added. The LATIN iterative algorithm is used along with a “multiparametric” strategy to calculate the various data and their different fidelity levels by means of an error indicator. Three main categories of variable-fidelity strategies are currently available. We tested at least one method from each of these categories, which comes to a total of five methods for calculating a valid metamodel using low- and high-fidelity data. Here, our objective is to compare the performances of these five methods in solving three mechanical examples. © 2015, Springer Science+Business Media New York.
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Dates et versions

hal-01625589 , version 1 (27-10-2017)

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Nicolas Courrier, Pierre-Alain Boucard, Bruno Soulier. Variable-fidelity modeling of structural analysis of assemblies. Journal of Global Optimization, 2016, 64, pp.577--613. ⟨10.1007/s10898-015-0345-9⟩. ⟨hal-01625589⟩
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