Optimisation multidisciplinaire

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Optimisation multidisciplinaire

Rajan Filomeno Coelho, Li Li, Piotr Breitkopf, Catherine Knopf-Lenoir

To cite this version:

Rajan Filomeno Coelho, Li Li, Piotr Breitkopf, Catherine Knopf-Lenoir. Optimisation multidisci-

plinaire : Approximation diffuse et élaboration d’un cas test. 8e Colloque national en calcul des

structures, CSMA, May 2007, Giens, France. �hal-01493700�

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Laboratoire de Mécanique Roberval UMR 6066 UTC – CNRS Université de Technologie de Compiègne, BP 20259

Compiègne 60206, France [email protected]

RÉSUMÉ

. Dans le cadre industriel, les techniques développées en optimisation multidiscipli- naire (MDO – Multidisciplinary Design Optimization) permettent, au sein d'une architecture commune, l’intégration des codes de calcul spécifiques aux domaines en question. Pour limiter le coût (en temps et en ressources) de l’optimisation, et bénéficier de l’expertise des équipes spécialisées dans chacune des disciplines, différentes stratégies multi-niveaux sont disponibles dans la littérature. Dans ce contexte, la présente étude a posé les premiers jalons d’une méthodologie multi-niveaux basée sur la méthode BLISS, et utilisant l’approximation diffuse pour construire les méta-modèles qu’elle requiert. En particulier, afin de comparer ces différentes approches MDO, l’exemple académique d’une aile d’avion idéalisée – faisant intervenir des calculs fluide et structure – est introduit pour servir de cas test.

ABSTRACT

. In the industrial context, the Multidisciplinary Design Optimization (shortly:

MDO) techniques enable (within a common framework) the integration of the computational codes of each discipline. To decrease the cost (in time and resources) of the optimization process, and also to take benefit of the expertise of the engineers in each discipline, different multi-level strategies are available in the literature. In this context, our study has set the first steps of a multi-level methodology based on BLISS, and using the diffuse approximation in order to build meta-models required by the method. In particular, the academic example of an idealized wing (mixing fluid and structure computations) is introduced in order to com- pare various MDO strategies.

MOTS-CLÉS

: optimisation multidisciplinaire, méta-modèles, approximation diffuse, interaction fluide-structure.

KEYWORDS

: multidisciplinary design optimization, meta-models, diffuse approximation, fluid-

structure interaction.

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