Fast Multilevel Optimization using a Multiparametric Strategy and a Cokriging Metamodel
Résumé
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.