Low cost a posteriori error estimators for an augmented mixed FEM in linear elasticity

UDC.coleccionInvestigaciónes_ES
UDC.departamentoMatemáticases_ES
UDC.grupoInvModelos e Métodos Numéricos en Enxeñaría e Ciencias Aplicadas (M2NICA)es_ES
dc.contributor.authorGonzález Taboada, María
dc.contributor.authorBarrios, Tomás P.
dc.contributor.authorBehrens, Edwin M.
dc.date.accessioned2015-12-01T16:05:29Z
dc.date.embargoEndDate2016-11-01es_ES
dc.date.embargoLift2016-11-01
dc.date.issued2014
dc.description.abstract[Abstract] We consider an augmented mixed finite element method applied to the linear elasticity problem and derive a posteriori error estimators that are simpler and easier to implement than the ones available in the literature. In the case of homogeneous Dirichlet boundary conditions, the new a posteriori error estimator is reliable and locally efficient, whereas for non-homogeneous Dirichlet boundary conditions, we derive an a posteriori error estimator that is reliable and satisfies a quasi-efficiency bound. Numerical experiments illustrate the performance of the corresponding adaptive algorithms and support the theoretical results.es_ES
dc.identifier.citationT. P. Barrios, E. M. Behrens, M. González, Low cost a posteriori error estimators for an augmented mixed FEM in linear elasticity, Applied Numerical Mathematics, 84 (Oct 2014) 46-65.es_ES
dc.identifier.issn0168-9274
dc.identifier.issn1873-5460
dc.identifier.urihttp://hdl.handle.net/2183/15683
dc.language.isoenges_ES
dc.publisherElsevier BV * North-Hollandes_ES
dc.relation.urihttp://dx.doi.org/10.1016/j.apnum.2014.05.008es_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.subjectLinear elasticityes_ES
dc.subjectMixed finite element methodes_ES
dc.subjectStabilizationes_ES
dc.subjectA posteriori error estimateses_ES
dc.titleLow cost a posteriori error estimators for an augmented mixed FEM in linear elasticityes_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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