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SIAM Journal on Numerical Analysis
Article . 2013 . Peer-reviewed
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Virtual Elements for Linear Elasticity Problems

Authors: Lourenço Beirão da Veiga; Franco Brezzi; L. Donatella Marini;

Virtual Elements for Linear Elasticity Problems

Abstract

We discuss the application of virtual elements to linear elasticity problems, for both the compressible and the nearly incompressible case. Virtual elements are very close to mimetic finite differences (see, for linear elasticity, [L. Beirão da Veiga, M2AN Math. Model. Numer. Anal., 44 (2010), pp. 231-250]) and in particular to higher order mimetic finite differences. As such, they share the good features of being able to represent in an exact way certain physical properties (conservation, incompressibility, etc.) and of being applicable in very general geometries. The advantage of virtual elements is the ductility that easily allows high order accuracy and high order continuity.

Country
Italy
Keywords

virtual element method, Elasticity; Mimetic finite differences; Virtual elements;, mimetic finite difference, Mimetic finite differences, elasticity, virtual element, Elasticity, 620, Virtual elements

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
499
Top 0.1%
Top 1%
Top 1%
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