Mechanical behaviour of particle composite materials is growing of interest to engineering applications. A computational homogenization procedure in conjunction with a statistical approach have been successfully adopted for the definition of the representative volume element (RVE) size, that in random media is an unknown of the problem, and of the related equivalent elastic moduli. Drawback of such a statistical approach to homogenization is the high computational cost, which prevents the possibility to perform series of parametric analyses. In this work, we propose a so-called fast statistical homogenization procedure (FSHP) developed within an integrated framework that automates all the steps to perform. Furthermore within the FSHP, we adopt the numerical framework of the virtual element method for numerical simulations to reduce the computational burden. The computational strategies and the discretization adopted allow us to efficiently solve the series (hundreds) of simulations and to rapidly converge to the RVE size detection.

Fast statistical homogenization procedure (FSHP) for particle random composites using virtual element method / Pingaro, M.; Reccia, E.; Trovalusci, P.; Masiani, R.. - In: COMPUTATIONAL MECHANICS. - ISSN 0178-7675. - (2019). [10.1007/s00466-018-1665-7]

Fast statistical homogenization procedure (FSHP) for particle random composites using virtual element method

Pingaro, M.;Reccia, E.;Trovalusci, P.;Masiani, R.
2019

Abstract

Mechanical behaviour of particle composite materials is growing of interest to engineering applications. A computational homogenization procedure in conjunction with a statistical approach have been successfully adopted for the definition of the representative volume element (RVE) size, that in random media is an unknown of the problem, and of the related equivalent elastic moduli. Drawback of such a statistical approach to homogenization is the high computational cost, which prevents the possibility to perform series of parametric analyses. In this work, we propose a so-called fast statistical homogenization procedure (FSHP) developed within an integrated framework that automates all the steps to perform. Furthermore within the FSHP, we adopt the numerical framework of the virtual element method for numerical simulations to reduce the computational burden. The computational strategies and the discretization adopted allow us to efficiently solve the series (hundreds) of simulations and to rapidly converge to the RVE size detection.
2019
Random composites; Representative volume element; Statistical homogenization; Virtual element method;
01 Pubblicazione su rivista::01a Articolo in rivista
Fast statistical homogenization procedure (FSHP) for particle random composites using virtual element method / Pingaro, M.; Reccia, E.; Trovalusci, P.; Masiani, R.. - In: COMPUTATIONAL MECHANICS. - ISSN 0178-7675. - (2019). [10.1007/s00466-018-1665-7]
File allegati a questo prodotto
File Dimensione Formato  
Pingaro_Fast_Statistical_2019.pdf

solo gestori archivio

Tipologia: Versione editoriale (versione pubblicata con il layout dell'editore)
Licenza: Tutti i diritti riservati (All rights reserved)
Dimensione 4.13 MB
Formato Adobe PDF
4.13 MB Adobe PDF   Contatta l'autore

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/11573/1221215
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 36
  • ???jsp.display-item.citation.isi??? 32
social impact