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dc.contributor.authorStrand, Andreas
dc.contributor.authorSmith, Ivar Eskerud
dc.contributor.authorUnander, Tor Erling
dc.contributor.authorSteinsland, Ingelin
dc.contributor.authorHellevik, Leif Rune
dc.date.accessioned2020-09-14T14:04:00Z
dc.date.available2020-09-14T14:04:00Z
dc.date.created2020-03-05T14:37:24Z
dc.date.issued2020
dc.identifier.citationAlgorithms. 2020, 13 (3), .en_US
dc.identifier.issn1999-4893
dc.identifier.urihttps://hdl.handle.net/11250/2677761
dc.description.abstractUncertainty propagation is used to quantify the uncertainty in model predictions in the presence of uncertain input variables. In this study, we analyze a steady-state point-model for two-phase gas-liquid flow. We present prediction intervals for holdup and pressure drop that are obtained from knowledge of the measurement error in the variables provided to the model. The analysis also uncovers which variables the predictions are most sensitive to. Sensitivity indices and prediction intervals are calculated by two different methods, Monte Carlo and polynomial chaos. The methods give similar prediction intervals, and they agree that the predictions are most sensitive to the pipe diameter and the liquid viscosity. However, the Monte Carlo simulations require fewer model evaluations and less computational time. The model predictions are also compared to experiments while accounting for uncertainty, and the holdup predictions are accurate, but there is bias in the pressure drop estimatesen_US
dc.language.isoengen_US
dc.publisherMDPIen_US
dc.rightsNavngivelse 4.0 Internasjonal*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/deed.no*
dc.titleUncertainty propagation through a point model for steady-state two-phase pipe flowen_US
dc.typePeer revieweden_US
dc.typeJournal articleen_US
dc.description.versionpublishedVersionen_US
dc.source.pagenumber23en_US
dc.source.volume13en_US
dc.source.journalAlgorithmsen_US
dc.source.issue3en_US
dc.identifier.doi10.3390/a13030053
dc.identifier.cristin1799902
dc.relation.projectNorges forskningsråd: 267620en_US
dc.relation.projectNorges forskningsråd: NN9545Ken_US
dc.description.localcode© 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).en_US
cristin.ispublishedtrue
cristin.fulltextoriginal
cristin.qualitycode1


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