This paper deals with homogenization of non linear fiber-reinforced composites in the coupled thermo-mechanical field. For this kind of structures, i.e. inclusions randomly dispersed in a matrix, the generalized self consistent (GSC) methods are particularly suitable to describe the problem. This paper presents a numerical development of this kind of approach.

Artificial Neural Networks in Generalized Self Consistent Homogenization

BOSO, DANIELA;SCHREFLER, BERNHARD
2011

Abstract

This paper deals with homogenization of non linear fiber-reinforced composites in the coupled thermo-mechanical field. For this kind of structures, i.e. inclusions randomly dispersed in a matrix, the generalized self consistent (GSC) methods are particularly suitable to describe the problem. This paper presents a numerical development of this kind of approach.
2011
Trends & Challenges in Computational Mechanics
9788896477229
File in questo prodotto:
Non ci sono file associati a questo prodotto.
Pubblicazioni consigliate

I documenti in IRIS 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/11577/2515321
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus ND
  • ???jsp.display-item.citation.isi??? ND
social impact