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dc.date.accessioned2023-03-22T16:40:33Z
dc.date.available2023-03-22T16:40:33Z
dc.date.created2023-03-10T09:54:32Z
dc.date.issued2022
dc.identifier.citationArbes, Florian Maurits Jensen, Øyvind Mardal, Kent-Andre Dokken, Jorgen S. . Model order reduction of solidification problems. 8th European Congress on Computational Methods in Applied Sciences and Engineering (ECCOMAS Congress 2022). 2022 European Community on Computional Methods in Applied Sciences (ECCOMAS)
dc.identifier.urihttp://hdl.handle.net/10852/101748
dc.description.abstractAdvection driven problems are known to be difficult to model with a reduced basis because of a slow decay of the Kolmogorov N -width. This paper investigates how this challenge transfers to the context of solidification problems and tries to answer when and to what extend reduced order models (ROMs) work for solidification problems. In solidification problems, the challenge is not the advection per se, but rather a moving solidification front. This paper studies reduced spaces for 1D step functions that move in time, which can either be seen as advection of a quantity or as a moving solidification front. Furthermore, the reduced space of a 2D solidification test case is compared with the reduced space of an alloy solidification featuring a mushy zone. The results show that not only the PDE itself, but the smoothness of the solution is crucial for the decay of the singular values and thus the quality of a reduced space representation.
dc.languageEN
dc.publisherEuropean Community on Computional Methods in Applied Sciences (ECCOMAS)
dc.rightsAttribution-NonCommercial-ShareAlike 3.0 Unported
dc.rights.urihttps://creativecommons.org/licenses/by-nc-sa/3.0/
dc.titleModel order reduction of solidification problems
dc.title.alternativeENEngelskEnglishModel order reduction of solidification problems
dc.typeChapter
dc.creator.authorArbes, Florian Maurits
dc.creator.authorJensen, Øyvind
dc.creator.authorMardal, Kent-Andre
dc.creator.authorDokken, Jorgen S.
cristin.unitcode185,15,13,15
cristin.unitnameMekanikk
cristin.ispublishedtrue
cristin.fulltextoriginal
cristin.fulltextoriginal
dc.identifier.cristin2132947
dc.identifier.bibliographiccitationinfo:ofi/fmt:kev:mtx:ctx&ctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:book&rft.btitle=8th European Congress on Computational Methods in Applied Sciences and Engineering (ECCOMAS Congress 2022)&rft.spage=&rft.date=2022
dc.identifier.pagecount0
dc.identifier.doihttps://doi.org/10.23967/eccomas.2022.179
dc.type.documentBokkapittel
dc.type.peerreviewedPeer reviewed
dc.source.isbn9788412322286
dc.type.versionPublishedVersion
cristin.btitle8th European Congress on Computational Methods in Applied Sciences and Engineering (ECCOMAS Congress 2022)
dc.relation.projectNFR/318024


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