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dc.contributor.authorStorvik, Erlend
dc.contributor.authorBoth, Jakub
dc.contributor.authorKumar, Kundan
dc.contributor.authorNordbotten, Jan Martin
dc.contributor.authorRadu, Florin Adrian
dc.date.accessioned2020-07-03T06:52:17Z
dc.date.available2020-07-03T06:52:17Z
dc.date.issued2019
dc.PublishedStorvik E, Both J, Kumar K, Nordbotten JM, Radu FA. On the optimization of the fixed‐stress splitting for Biot's equations. International Journal for Numerical Methods in Engineering. 2019;120:179–194eng
dc.identifier.issn1097-0207en_US
dc.identifier.issn0029-5981en_US
dc.identifier.urihttps://hdl.handle.net/1956/23286
dc.description.abstractIn this work, we are interested in efficiently solving the quasi‐static, linear Biot model for poroelasticity. We consider the fixed‐stress splitting scheme, which is a popular method for iteratively solving Biot's equations. It is well known that the convergence properties of the method strongly depend on the applied stabilization/tuning parameter. We show theoretically that, in addition to depending on the mechanical properties of the porous medium and the coupling coefficient, they also depend on the fluid flow and spatial discretization properties. The type of analysis presented in this paper is not restricted to a particular spatial discretization, although it is required to be inf‐sup stable with respect to the displacement‐pressure formulation. Furthermore, we propose a way to optimize this parameter that relies on the mesh independence of the scheme's optimal stabilization parameter. Illustrative numerical examples show that using the optimized stabilization parameter can significantly reduce the number of iterations.en_US
dc.language.isoengeng
dc.publisherWileyen_US
dc.rightsAttribution CC BYeng
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/eng
dc.titleOn the optimization of the fixed‐stress splitting for Biot's equationsen_US
dc.typePeer reviewed
dc.typeJournal article
dc.date.updated2020-02-18T13:18:21Z
dc.description.versionpublishedVersionen_US
dc.rights.holderCopyright 2019 The Authorsen_US
dc.identifier.doihttps://doi.org/10.1002/nme.6130
dc.identifier.cristin1708670
dc.source.journalInternational Journal for Numerical Methods in Engineering
dc.source.pagenumber179-194
dc.relation.projectNorges forskningsråd: 250223
dc.identifier.citationJournal for Numerical Methods in Engineering. 2019, 120, 179–194.
dc.source.volume120


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