A topology optimization method for problems with design-dependent loads based on non-uniform rational basis spline entities - INRAE - Institut national de recherche pour l’agriculture, l’alimentation et l’environnement Accéder directement au contenu
Article Dans Une Revue Mechanics of Advanced Materials and Structures Année : 2023

A topology optimization method for problems with design-dependent loads based on non-uniform rational basis spline entities

Résumé

In this paper, topology optimization (TO) problems of structures subjected to design-dependent loads are formulated in the context of a special density-based TO approach wherein a Non Uniform Rational Basis Spline (NURBS) hyper-surface is used to represent the topological descriptor. Unlike classical density-based TO approaches, the NURBS-density-based method allows representing the pseudo-density field through a purely geometric computer-aided design compatible entity. In this context, the problem is formulated in the most general case of inhomogeneous Neumann-Dirichlet boundary conditions. Moreover, a thorough study of the penalty function of the design-dependent loads is carried out to investigate its effect on the optimized topologies and overcome the singularity effect related to the zones characterized by low values of the pseudo-density field. Finally, a wide campaign of sensitivity analyses is conducted to investigate the influence of the integer parameters of the NURBS entity, of the combination of design-depedent loads and inhomogeneous Neumann-Dirichlet boundary conditions, and of the concentrated load on the optimized topology. The effectiveness of the approach is tested on 2D and 3D benchmark problems.
Fichier non déposé

Dates et versions

hal-04400728 , version 1 (17-01-2024)

Identifiants

Citer

Elisabetta Urso, Salah-Eddine Zerrouq, Marco Montemurro. A topology optimization method for problems with design-dependent loads based on non-uniform rational basis spline entities. Mechanics of Advanced Materials and Structures, 2023, pp.1-16. ⟨10.1080/15376494.2023.2294495⟩. ⟨hal-04400728⟩
8 Consultations
0 Téléchargements

Altmetric

Partager

Gmail Facebook X LinkedIn More