Skip to Main Content (Press Enter)

Logo CNR
  • ×
  • Home
  • Persone
  • Pubblicazioni
  • Strutture
  • Competenze

UNI-FIND
Logo CNR

|

UNI-FIND

cnr.it
  • ×
  • Home
  • Persone
  • Pubblicazioni
  • Strutture
  • Competenze
  1. Pubblicazioni

Weakly imposed Dirichlet boundary conditions for 2D and 3D Virtual Elements

Articolo
Data di Pubblicazione:
2022
Abstract:
In the framework of virtual element discretizations, we address the problem of imposing non homogeneous Dirichlet boundary conditions in a weak form, both on polygonal/polyhedral domains and on two/three dimensional domains with curved boundaries. We consider a Nitsche's type method (Nitsche et al. 1970; Juntunen et al. 2009) and the stabilized formulation of the Lagrange multiplier method proposed by Barbosa and Hughes in Barbosa and Hughes (1991) . We prove that also for the virtual element method (VEM), provided the stabilization parameter is suitably chosen (large enough for Nitsche's method and small enough for the Barbosa-Hughes Lagrange multiplier method), the resulting discrete problem is well posed, and yields convergence with optimal order on polygonal/polyhedral domains. On smooth two/three dimensional domains, we combine both methods with a projection approach similar to the one of Bramble et al. (1972). We prove that, given a polygonal/polyhedral approximation ohm h of the domain ohm, an optimal convergence rate can be achieved by using a suitable correction depending on high order derivatives of the discrete solution along outward directions (not necessarily orthogonal) at the boundary facets of Omega_h. Numerical experiments validate the theory.
Tipologia CRIS:
01.01 Articolo in rivista
Keywords:
Virtual Element method; Barbosa-Hughes method; Nitsche's method; Curved domain
Elenco autori:
Pennacchio, Micol; Prada, Daniele; Bertoluzza, Silvia
Autori di Ateneo:
BERTOLUZZA SILVIA
PENNACCHIO MICOL
PRADA DANIELE
Link alla scheda completa:
https://iris.cnr.it/handle/20.500.14243/462891
Pubblicato in:
COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING
Journal
  • Dati Generali

Dati Generali

URL

https://www.sciencedirect.com/science/article/pii/S004578252200490X?via%3Dihub
  • Utilizzo dei cookie

Realizzato con VIVO | Designed by Cineca | 26.5.0.0 | Sorgente dati: PREPROD (Ribaltamento disabilitato)