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dc.contributor.authorManik, Tomas
dc.contributor.authorMoradi Asadkandi, Hassan
dc.contributor.authorHolmedal, Bjørn
dc.date.accessioned2023-03-06T12:22:23Z
dc.date.available2023-03-06T12:22:23Z
dc.date.created2022-04-10T13:08:10Z
dc.date.issued2022
dc.identifier.citationComputer Methods in Applied Mechanics and Engineering. 2022, 393 .en_US
dc.identifier.issn0045-7825
dc.identifier.urihttps://hdl.handle.net/11250/3056038
dc.description.abstractA new stable return-mapping algorithm enables crystal-plasticity solutions by using a regularized yield surface with very large exponents, for which the rate-independent limit of the Schmid assumption in practice is reached. Numerical stability is enabled by an improved initial guess for the stress solution and by applying a line search for each Newton iteration. A hypo-elastic–plastic corotational formulation is chosen, where the tensors are contracted in a way that naturally degenerate to the rigid plastic formulation. The consistent algorithmic tangent modulus is derived, and a fast and very stable open-source implicit implementation into a finite element software is explained and demonstrated for simulations of the necking of a single crystal and for deformation of a polycrystalline representative volume element. The simulations run stable allowing large time steps. Hence, the simulation times are significant shorter than for explicit finite element simulations. The framework enables use of arbitrary types of slip systems. As a demonstration, the importance and interpretation of the yield surface exponent and the asymptotic limit of very large exponent are discussed for bcc crystals with slip systems.en_US
dc.language.isoengen_US
dc.publisherElsevieren_US
dc.rightsNavngivelse 4.0 Internasjonal*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/deed.no*
dc.titleA robust algorithm for rate-independent crystal plasticityen_US
dc.title.alternativeA robust algorithm for rate-independent crystal plasticityen_US
dc.typePeer revieweden_US
dc.typeJournal articleen_US
dc.description.versionpublishedVersionen_US
dc.source.pagenumber0en_US
dc.source.volume393en_US
dc.source.journalComputer Methods in Applied Mechanics and Engineeringen_US
dc.identifier.doi10.1016/j.cma.2022.114831
dc.identifier.cristin2016453
dc.relation.projectNorges forskningsråd: 315727en_US
cristin.ispublishedtrue
cristin.fulltextoriginal
cristin.qualitycode2


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