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dc.contributor.authorHan, Xu
dc.contributor.authorLeira, Bernt Johan
dc.contributor.authorSævik, Svein
dc.contributor.authorKaasen, Karl Erik
dc.date.accessioned2022-03-31T13:13:35Z
dc.date.available2022-03-31T13:13:35Z
dc.date.created2021-10-12T13:43:16Z
dc.date.issued2021
dc.identifier.citationMarine Structures. 2021, 80 .en_US
dc.identifier.issn0951-8339
dc.identifier.urihttps://hdl.handle.net/11250/2988901
dc.description.abstractWave-induced vessel motion prediction plays a critical role in ensuring safe marine operations. The operational limiting criteria can usually be calculated by applying presumed linearized vessel motion transfer functions based on the specified vessel loading condition, which may deviate from the real vessel condition when the operation is executed. Reducing the uncertainties of the onboard vessel loading condition can therefore improve the accuracy of vessel motion prediction and hence improve the safety and cost-efficiency for marine operations. However, parameters related to the onboard vessel loading condition can be difficult to measure directly, such as the center of gravity and moments of inertia. In addition, the hydrodynamic viscous damping terms are always subject to significant uncertainties and sometimes become critical for accurate vessel motion predictions. A very promising algorithm for the tuning of these important uncertain vessel parameters based on the unscented Kalman filter (UKF) that uses onboard vessel motion measurements and synchronous wave information was proposed and demonstrated previously by application to synthetic data. The present paper validates the UKF-based vessel seakeeping model tuning algorithm by considering measurements from model-scale seakeeping tests. Validation analyses demonstrate rational tuning results. The observed random errors and bias in relation to the measurement functions due to the applied simplification and linearization in the seakeeping simulations can lead to biased tuning. The importance of designing the state space and the measurement space is demonstrated by case studies. Due to the nonlinear relationship between the uncertain vessel parameters and the vessel motions, the tuning is shown to be sensitive to the mean state vector and selection of the surrounding sigma points.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.subjectSystematic errorsen_US
dc.subjectUnscented transformationen_US
dc.subjectModel-scale testsen_US
dc.subjectModel tuningen_US
dc.subjectVessel seakeepingen_US
dc.titleValidation of vessel seakeeping model tuning algorithm based on measurements at model scaleen_US
dc.typePeer revieweden_US
dc.typeJournal articleen_US
dc.description.versionpublishedVersionen_US
dc.rights.holder© 2021 The Authors. Published by Elsevier Ltd.en_US
dc.source.pagenumber26en_US
dc.source.volume80en_US
dc.source.journalMarine Structuresen_US
dc.identifier.doi10.1016/j.marstruc.2021.103083
dc.identifier.cristin1945281
dc.relation.projectNorges forskningsråd: 237929en_US
dc.source.articlenumber103083en_US
cristin.ispublishedtrue
cristin.fulltextoriginal
cristin.fulltextpostprint
cristin.qualitycode2


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