A posteriori error analysis of an augmented mixed formulation in linear elasticity with mixed and Dirichlet boundary conditions

UDC.coleccionInvestigaciónes_ES
UDC.departamentoMatemáticases_ES
UDC.grupoInvModelización, Optimización e Inferencia Estatística (MODES)es_ES
dc.contributor.authorGonzález Taboada, María
dc.contributor.authorBarrios, Tomás P.
dc.contributor.authorBehrens, Edwin M.
dc.date.accessioned2015-12-01T16:29:41Z
dc.date.available2015-12-01T16:29:41Z
dc.date.issued2011-01
dc.description.abstract[Abstract] We develop a residual-based a posteriori error analysis for the augmented mixed methods introduced in and for the problem of linear elasticity in the plane. We prove that the proposed a posteriori error estimators are both reliable and efficient. Numerical experiments confirm these theoretical properties and illustrate the ability of the corresponding adaptive algorithms to localize the singularities and large stress regions of the solutions.es_ES
dc.identifier.citationT. P. Barrios, E. M. Behrens, M. González, A posteriori error analysis of an augmented mixed formulation in linear elasticity with mixed and Dirichlet boundary conditions, Computer Methods in Applied Mechanics and Engineering, 200(1-4) (2011) 101-113.es_ES
dc.identifier.issn0045-7825
dc.identifier.urihttp://hdl.handle.net/2183/15684
dc.language.isoenges_ES
dc.publisherElsevier BVes_ES
dc.relation.urihttp://dx.doi.org/10.1016/j.cma.2010.07.016es_ES
dc.rightsReconocimiento-NoComercial-SinObraDerivada 4.0 Internacional
dc.rights.accessRightsopen accesses_ES
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subjectMixed finite elementes_ES
dc.subjectAugmented formulationes_ES
dc.subjectA posteriori error estimatores_ES
dc.subjectLinear elasticityes_ES
dc.titleA posteriori error analysis of an augmented mixed formulation in linear elasticity with mixed and Dirichlet boundary conditionses_ES
dc.typejournal articlees_ES
dspace.entity.typePublication
relation.isAuthorOfPublication0297067b-d946-4ca7-a145-b81432bb84e1
relation.isAuthorOfPublication.latestForDiscovery0297067b-d946-4ca7-a145-b81432bb84e1

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