A Bilevel Methodology for solving a Structural Optimization Problem with both Continuous and Categorical Variables - Archive ouverte HAL Accéder directement au contenu
Communication Dans Un Congrès Année : 2018

A Bilevel Methodology for solving a Structural Optimization Problem with both Continuous and Categorical Variables

Résumé

In industrial structural optimization problems, two kinds of variables are involved : continuous variables, like geometrical parameters, and categorical variables like choices of material and cross-sectional shapes. A key difficulty of this kind of problem is the sensitivity of the computation cost with respect to the number of categorical design variables. In this article, a new methodology is proposed to address this mixed continuous-categorical structural optimization problem. For this purpose, a 10-bar truss test case representative for industrial design is introduced. Promising results have been obtained in terms of computation cost, compared to approaches based on combinatorial algorithms.
Fichier principal
Vignette du fichier
Barjhoux_20225.pdf (335.56 Ko) Télécharger le fichier
Origine : Fichiers produits par l'(les) auteur(s)
Loading...

Dates et versions

hal-01851977 , version 1 (31-07-2018)

Identifiants

Citer

Pierre-Jean Barjhoux, Youssef Diouane, Stéphane Grihon, Dimitri Bettebghor, Joseph Morlier. A Bilevel Methodology for solving a Structural Optimization Problem with both Continuous and Categorical Variables. 2018 Multidisciplinary Analysis and Optimization Conference, AIAA AVIATION Forum, Jun 2018, Atlanta, Georgia, United States. pp.1-16, ⟨10.2514/6.2018-3579⟩. ⟨hal-01851977⟩
141 Consultations
156 Téléchargements

Altmetric

Partager

Gmail Facebook X LinkedIn More