International audienceThis paper deals with the building of a gradient-based metamodel using a dedicated strategy for solving structural assemblies problems. This work is the first part of a two-levels global optimization strategy. 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 element
The optimization of complex civil engineering structures remains a major scientific challenge, mostl...
While studies in metamodel-assisted optimization predominantly involve continuous variables, this pa...
International audienceThe advent of Virtual Testing and industry's willingness for hyper fine struct...
International audienceThis paper deals with a multilevel model optimization strategy for structural ...
International audienceIn the course of designing structural assemblies, performing a full optimizati...
International audienceThis paper proposes a multilevel model optimization strategy for structural as...
Bien que de plus en plus employée au sein des bureaux d'études dans le cadre de la conception mécani...
International audienceGenerally speaking, the objective and constraint functions of a structural opt...
Optimisation strategies on assembly design are often relatively time expensive because of the large ...
International audienceIn the context of optimization, derivatives of the objective function or the c...
Dans le cadre de calcul des assemblages de structures, les bureaux d'études sont à l'heure actuelle ...
Les phases de conception et de validation de pièces mécaniques nécessitent des outils de calculs rap...
This paper focuses on the metamodel-based collaborative optimization (CO). The objective is to impro...
Global optimization techniques have gained much attention in the design of industrial products becau...
In the paper, the method of weighted polynomials for model building on the basis of numerical or phy...
The optimization of complex civil engineering structures remains a major scientific challenge, mostl...
While studies in metamodel-assisted optimization predominantly involve continuous variables, this pa...
International audienceThe advent of Virtual Testing and industry's willingness for hyper fine struct...
International audienceThis paper deals with a multilevel model optimization strategy for structural ...
International audienceIn the course of designing structural assemblies, performing a full optimizati...
International audienceThis paper proposes a multilevel model optimization strategy for structural as...
Bien que de plus en plus employée au sein des bureaux d'études dans le cadre de la conception mécani...
International audienceGenerally speaking, the objective and constraint functions of a structural opt...
Optimisation strategies on assembly design are often relatively time expensive because of the large ...
International audienceIn the context of optimization, derivatives of the objective function or the c...
Dans le cadre de calcul des assemblages de structures, les bureaux d'études sont à l'heure actuelle ...
Les phases de conception et de validation de pièces mécaniques nécessitent des outils de calculs rap...
This paper focuses on the metamodel-based collaborative optimization (CO). The objective is to impro...
Global optimization techniques have gained much attention in the design of industrial products becau...
In the paper, the method of weighted polynomials for model building on the basis of numerical or phy...
The optimization of complex civil engineering structures remains a major scientific challenge, mostl...
While studies in metamodel-assisted optimization predominantly involve continuous variables, this pa...
International audienceThe advent of Virtual Testing and industry's willingness for hyper fine struct...