Topological gradient in structural optimization under stress and buckling constraints - Archive ouverte HAL Accéder directement au contenu
Article Dans Une Revue Applied Mathematics and Computation Année : 2021

Topological gradient in structural optimization under stress and buckling constraints

Florian Mitjana
  • Fonction : Auteur
Sonia Cafieri
Florian Bugarin
Stéphane Segonds
F Castanie
  • Fonction : Auteur

Résumé

Structural topology optimization aims to design mechanical structures by seeking the optimal material layout within a given design space. Within this framework, this paper addresses the minimization of the structural mass under stress and buckling constraints, formulated as a nonlinear combinatorial optimization problem. An algorithm is proposed for such a problem, that follows a topological gradient-based approach. The adjoint method is applied to efficiently compute the constraint gradients. An iterative algorithm for buckling analysis, featuring low memory requirements, is also proposed. Numerical results, including a real application arising in the aeronautical field, illustrate the efficiency of the two proposed algorithms.
Fichier principal
Vignette du fichier
main.pdf (1.7 Mo) Télécharger le fichier
Origine Fichiers produits par l'(les) auteur(s)

Dates et versions

hal-03134108 , version 1 (08-02-2021)

Identifiants

Citer

Florian Mitjana, Sonia Cafieri, Florian Bugarin, Stéphane Segonds, F Castanie, et al.. Topological gradient in structural optimization under stress and buckling constraints. Applied Mathematics and Computation, 2021, 409, ⟨10.1016/j.amc.2021.126032⟩. ⟨hal-03134108⟩
118 Consultations
174 Téléchargements

Altmetric

Partager

Gmail Mastodon Facebook X LinkedIn More