The coupling of robust metamodel and heuristic methods in reliability based design optimization
| Autor: | Rabhi, N., Mohamed GUEDRI, Bouhaddi, N. |
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| Přispěvatelé: | Institut Préparatoire aux Etudes d'Ingénieurs de Nabeul (IPEIN), Institut Préparatoire aux Etudes d'Ingénieurs de Nabeul, Franche-Comté Électronique Mécanique, Thermique et Optique - Sciences et Technologies (UMR 6174) (FEMTO-ST), Université de Technologie de Belfort-Montbeliard (UTBM)-Ecole Nationale Supérieure de Mécanique et des Microtechniques (ENSMM)-Université de Franche-Comté (UFC), Université Bourgogne Franche-Comté [COMUE] (UBFC)-Université Bourgogne Franche-Comté [COMUE] (UBFC)-Centre National de la Recherche Scientifique (CNRS) |
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| Zdroj: | Scopus-Elsevier International Conference on Computational Structures Technology International Conference on Computational Structures Technology, Sep 2012, Dubrovnik, Croatia |
| Popis: | International audience; The context of this paper is the establishment of help tools to aid in the decisions for robust design of mechanical structures in an uncertain environment. The problem considered is how to determine an optimized structure with regard to the security level criteria. This problem is called reliability optimization; that means the optimization is with regard to the constraint reliability. With a falling probability level, the engineer can decide if the structure has sufficient reliability. This paper presents a coupling between the methods of reliability approximation (FORM, SORM) and a set of modern techniques from the domain of the artificial intelligence which are characterized by their importance in the process of collectionand analysis of the uncertainties. Among these techniques, the particular swarm, the genetic algorithms and the ant colony techniques should be mentioned. In this paper, a coupling of the reliability method and dynamics with metamodels (condensed models) to guide reliability optimization of such systems is proposed. Two numerical examples are presented to illustrate the performance of the proposed approach. |
| Databáze: | OpenAIRE |
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