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dc.contributor.authorOstapska-Luczkowska, Katarzyna
dc.contributor.authorMalo, Kjell Arne
dc.date.accessioned2021-03-16T09:38:40Z
dc.date.available2021-03-16T09:38:40Z
dc.date.created2021-02-02T17:34:04Z
dc.date.issued2020
dc.identifier.citationEngineering Fracture Mechanics. 2020, 232 .en_US
dc.identifier.issn0013-7944
dc.identifier.urihttps://hdl.handle.net/11250/2733554
dc.description.abstractCrack evolution in wood from Norway Spruce during mode I wedge splitting tests was measured using a Digital Image Correlation (DIC) system. The resulting series of deformation fields were post-processed in order to obtain kinematically based crack tip location histories throughout the loading procedure, by a purposely made algorithm. The developed algorithm is based on generic mode patterns which are fitted to the observed deformation fields and optimized. The developed procedure and its application are explained and the resulting crack paths are presented. Subsequently, fracture energies, critical stress intensity factors and experimental resistance curves were derived based on the crack path data. Comparisons of the obtained material parameters for fracture mechanics with literature values show that the proposed method is a powerful alternative to the more traditional methods. Moreover, experimentally derived crack tip location histories give more detailed insight into the behaviour of wood (Norway Spruce) during mode I fracture and may replace indirect methods and crack length assumptions.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.titleWedge splitting test of wood for fracture parameters estimation of Norway Spruceen_US
dc.typePeer revieweden_US
dc.typeJournal articleen_US
dc.description.versionpublishedVersionen_US
dc.source.pagenumber20en_US
dc.source.volume232en_US
dc.source.journalEngineering Fracture Mechanicsen_US
dc.identifier.doi10.1016/j.engfracmech.2020.107024
dc.identifier.cristin1886031
dc.description.localcode© 2020 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY license (http://creativecommons.org/licenses/BY/4.0/).en_US
cristin.ispublishedtrue
cristin.fulltextoriginal
cristin.qualitycode1


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Navngivelse 4.0 Internasjonal
Except where otherwise noted, this item's license is described as Navngivelse 4.0 Internasjonal