A fast statistical homogenization procedure (FSHP) based on virtual element method (VEM) - previously developed by the authors has been successfully adopted for the homogenization of particulate random composites, via the definition of the representative volume element (RVE), and of the related equivalent elastic moduli. In particular, the adoption of virtual elements of degree one for modeling the inclusions provided reliable results for materials with low contrast, defined as the ratio between mechanical properties of inclusions and matrix. Porous media are then here described as bimaterial systems in which soft circular inclusions, with a very low value of material contrast, are randomly distributed in a continuous stiffer matrix. Several simulations have been performed by varying the level of porosity, highlighting the effectiveness of FSHP in conjunction with virtual elements of degree one.

Homogenization of Random Porous Materials With Low-Order Virtual Elements

Reccia E.;
2019-01-01

Abstract

A fast statistical homogenization procedure (FSHP) based on virtual element method (VEM) - previously developed by the authors has been successfully adopted for the homogenization of particulate random composites, via the definition of the representative volume element (RVE), and of the related equivalent elastic moduli. In particular, the adoption of virtual elements of degree one for modeling the inclusions provided reliable results for materials with low contrast, defined as the ratio between mechanical properties of inclusions and matrix. Porous media are then here described as bimaterial systems in which soft circular inclusions, with a very low value of material contrast, are randomly distributed in a continuous stiffer matrix. Several simulations have been performed by varying the level of porosity, highlighting the effectiveness of FSHP in conjunction with virtual elements of degree one.
2019
Bulk modulus; Engineering simulation; Porosity; Porous materials; Simulation; Mechanical properties; Elastic moduli
File in questo prodotto:
File Dimensione Formato  
2019_ASCEASME. Pingaro, reccia, Trovalusci.pdf

Solo gestori archivio

Descrizione: Versione editoriale
Tipologia: versione editoriale
Dimensione 1.81 MB
Formato Adobe PDF
1.81 MB Adobe PDF   Visualizza/Apri   Richiedi una copia
2019_ASCEASME. Pingaro, Reccia, Trovalusci - PREPRINT.pdf

accesso aperto

Descrizione: Versione pre-print, formato .pdf
Tipologia: versione pre-print
Dimensione 1.19 MB
Formato Adobe PDF
1.19 MB Adobe PDF Visualizza/Apri

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/11584/271529
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 20
  • ???jsp.display-item.citation.isi??? 14
social impact