Fast Multilevel Optimization using a Multiparametric Strategy and a Cokriging Metamodel

Abstract : This paper deals with a multilevel model optimization strategy for structural assemblies. Two levels are introduced: the full mechanical model and a metamodel. The general objective is to reduce computation costs; here, we focus on the costs which are associated with the generation of the metamodel. Our goal is achieved through the introduction of two main elements: what we call a “multiparametric strategy” based on the LATIN method, which reduces the computation costs when the parameters vary, and the use of a cokriging metamodel taking gradients into account. Several examples illustrate the efficiency of these two elements.
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https://hal.archives-ouvertes.fr/hal-01431906
Contributor : Luc Laurent <>
Submitted on : Wednesday, January 11, 2017 - 1:18:51 PM
Last modification on : Saturday, May 25, 2019 - 1:43:57 AM

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Luc Laurent, Pierre-Alain Boucard, Bruno Soulier. Fast Multilevel Optimization using a Multiparametric Strategy and a Cokriging Metamodel. Second International Conference on Soft Computing Technology in Civil, Structural and Environmental Engineering, Sep 2011, Chania, Greece. ⟨10.4203/ccp.97.50⟩. ⟨hal-01431906⟩

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