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dc.contributor.authorChai, Wei
dc.contributor.authorLeira, Bernt Johan
dc.contributor.authorHøyland, Knut Vilhelm
dc.contributor.authorSinsabvarodom, Chana
dc.contributor.authorYu, Zhaolong
dc.date.accessioned2021-02-22T15:10:43Z
dc.date.available2021-02-22T15:10:43Z
dc.date.created2020-06-04T14:51:20Z
dc.date.issued2020
dc.identifier.citationJournal of Marine Science and Technology. 2020, .en_US
dc.identifier.issn0948-4280
dc.identifier.urihttps://hdl.handle.net/11250/2729589
dc.description.abstractIn this paper, statistics of ice thickness and ice strength of first-year sea ice along the Northern Sea Route (NSR) is studied to provide useful information for the design and operation of Arctic ships. Specifically, ice thickness, ice strength and other physical parameters of the sea ice are estimated. Four representative sites are selected to study the ice environment and ice strength in different sea areas along the NSR during the ice growth season. Besides that, a good knowledge of the co-variation relationships between these ice parameters in a particular region would promote the estimation of ice loads acting on structures located in this region. In this work, a novel probabilistic model is introduced to describe the probability distribution of the ice flexural strength. The co-variation relationships between ice thickness and ice strength are quantified in terms of correlation coefficients. The influence of air temperature on ice properties is also investigated and discussed.en_US
dc.language.isoengen_US
dc.publisherSpringer Natureen_US
dc.rightsNavngivelse 4.0 Internasjonal*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/deed.no*
dc.titleStatistics of thickness and strength of first-year ice along the Northern Sea Routeen_US
dc.typePeer revieweden_US
dc.typeJournal articleen_US
dc.description.versionpublishedVersionen_US
dc.source.pagenumber13en_US
dc.source.journalJournal of Marine Science and Technologyen_US
dc.identifier.doi10.1007/s00773-020-00742-5
dc.identifier.cristin1813885
dc.description.localcode© The Author(s) 2020. Open Access. This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.en_US
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Navngivelse 4.0 Internasjonal
Except where otherwise noted, this item's license is described as Navngivelse 4.0 Internasjonal