Topology optimization is a design method that afford an optimal layout with the minimization of a function, which describe a functional aspect, under prescribed constraints. The most common problem analysed in topology optimization is the compliance minimization, i.e. maximization of stiffness, under prescribed volume constraint. Here, we propose a multiscale approach with multi-material formulation where several microstructures, which differ in terms of material and topology, are generated using an implicit function. This approach, based on the theory of ho-mogenization, allows to account for different microstructures and enables to obtain functionally graded structures. Several numerical examples are shown to illustrate the main features and advantages of the proposed multi-scale topology optimization approach.

A multi-scale topology optimization approach with implicit function-based micro-structures

Nale Andrea
Primo
;
Chiozzi Andrea
Ultimo
2023

Abstract

Topology optimization is a design method that afford an optimal layout with the minimization of a function, which describe a functional aspect, under prescribed constraints. The most common problem analysed in topology optimization is the compliance minimization, i.e. maximization of stiffness, under prescribed volume constraint. Here, we propose a multiscale approach with multi-material formulation where several microstructures, which differ in terms of material and topology, are generated using an implicit function. This approach, based on the theory of ho-mogenization, allows to account for different microstructures and enables to obtain functionally graded structures. Several numerical examples are shown to illustrate the main features and advantages of the proposed multi-scale topology optimization approach.
2023
9786188507289
topology optimization, multi-scale approach, implicit function method
File in questo prodotto:
File Dimensione Formato  
E23_18926.pdf

accesso aperto

Descrizione: versione editoriale
Tipologia: Full text (versione editoriale)
Licenza: PUBBLICO - Pubblico con Copyright
Dimensione 438.82 kB
Formato Adobe PDF
438.82 kB Adobe PDF Visualizza/Apri

I documenti in SFERA sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11392/2547710
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus ND
  • ???jsp.display-item.citation.isi??? ND
social impact