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dc.contributor.authorBoon, Wietse
dc.contributor.authorNordbotten, Jan Martin
dc.date.accessioned2021-08-09T07:33:46Z
dc.date.available2021-08-09T07:33:46Z
dc.date.created2021-02-22T17:03:33Z
dc.date.issued2021
dc.identifier.issn1420-0597
dc.identifier.urihttps://hdl.handle.net/11250/2766858
dc.description.abstractWe consider mechanics of composite materials in which thin inclusions are modeled by lower-dimensional manifolds. By successively applying the dimensional reduction to junctions and intersections within the material, a geometry of hierarchically connected manifolds is formed which we refer to as mixed-dimensional. The governing equations with respect to linear elasticity are then defined on this mixed-dimensional geometry. The resulting system of partial differential equations is also referred to as mixed-dimensional, since functions defined on domains of multiple dimensionalities are considered in a fully coupled manner. With the use of a semi-discrete differential operator, we obtain the variational formulation of this system in terms of both displacements and stresses. The system is then analyzed and shown to be well-posed with respect to appropriately weighted norms. Numerical discretization schemes are proposed using well-known mixed finite elements in all dimensions. The schemes conserve linear momentum locally while relaxing the symmetry condition on the stress tensor. Stability and convergence are shown using a priori error estimates and confirmed numerically.en_US
dc.language.isoengen_US
dc.publisherSpringeren_US
dc.rightsNavngivelse 4.0 Internasjonal*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/deed.no*
dc.titleStable mixed finite elements for linear elasticity with thin inclusionsen_US
dc.typeJournal articleen_US
dc.typePeer revieweden_US
dc.description.versionpublishedVersionen_US
dc.rights.holderCopyright The Author(s) 2020en_US
cristin.ispublishedtrue
cristin.fulltextoriginal
cristin.qualitycode1
dc.identifier.doi10.1007/s10596-020-10013-2
dc.identifier.cristin1892502
dc.source.journalComputational Geosciencesen_US
dc.source.pagenumber603-620en_US
dc.identifier.citationComputational Geosciences. 2021, 25, 603-620.en_US
dc.source.volume25en_US


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