Aller au contenu

Séminaire I2M: Pr. Julián NORATO - " Topology Optimization of Assemblies Made of Fiber-Reinforced Components " - 21 juin, site ENSAM

Le séminaire du mois de juin de l'I2M a le plaisir d'accueillir Julian Norato avec un exposé sur l'optimisation topologique, une méthode mathématique (et logicielle) qui permet de trouver la répartition optimale de matière dans un volume donné soumis à des contraintes . Crédit photo: © deeaf Adobe Stock.

I2M, amphi LRL site ENSAM Campus Arts et Métiers

L'I2M a le plaisir d’accueillir
Julián NORATO, associate professor at University of Connecticut
le 21 juin 2023 à 14h en amphi LRL sur le site ENSAM, Campus Arts et métiers
 
Il nous présentera un exposé intitulé
" Topology Optimization of Assemblies Made of Fiber-Reinforced Components " 

Résumé

Topology optimization (TO) techniques are powerful tools for the exploration of novel and superior designs for components, structural assemblies, and architected materials. Advances in manufacturing techniques have expanded the possibilities of fabricating designs produced by TO. Density and level-set TO methods represent the structure using continuous fields, which endow the optimization with substantial freedom and thus render highly efficient designs. However, in many instances, fabrication constraints or functional requirements preclude the realization of these organic designs. Some manufacturing processes and functional requirements favor structural designs that consist of assemblies of geometric primitives, such as those used in the manufacturing of airframe structures made of fiber-reinforced composites. In this talk, I will describe research efforts advanced by our group to formulate computational design techniques for fiber-reinforced structural assemblies. The foundations of these efforts are the geometry projection TO techniques pioneered by our group, in which the structure is exclusively represented by primitives. 

In geometry projection methods, the parameters describing the primitives are mapped onto a continuous density field for efficient analysis with non-conforming meshes and efficient optimization with gradient-based techniques.

Pour en savoir plus

Julián NORATO est associate Professor et Director of Graduate Studies Ph.D. à University of Illinois à Urbana-Champaign. Il conduit son activate de recherche au Structural Optimization Laboratory du Department of Mechanical Engineering à University of Connecticut.