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dc.contributor.authorBiçer, Perihan
dc.contributor.authorÖzener, Pelin Tohumcu
dc.date.accessioned2022-05-11T14:26:35Z
dc.date.available2022-05-11T14:26:35Z
dc.date.issued2009
dc.identifier.issn1064-119X
dc.identifier.urihttps://doi.org/10.1080/10641190903143256
dc.identifier.urihttps://hdl.handle.net/20.500.11776/6501
dc.description.abstractIn this study, a stochastic method was applied to investigate if there exists a statistical correlation between values of undrained shear strength at various vertical distances along Golden Horn. Therefore, the undrained shear strength values measured by field vane shear tests at different depths were used to determine the depth dependent variation of the mean value and standard deviation. Futhermore, autocorrelation functions were defined to describe the correlation between values of cu at different depths. The study showed that the applied method might provide a statistical range to estimate the undrained shear strength value at depths where no measurements are undertaken.en_US
dc.language.isoengen_US
dc.publisherTaylor & Francis Incen_US
dc.identifier.doi10.1080/10641190903143256
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectfield vane testen_US
dc.subjectGolden Horn Marine Clayen_US
dc.subjectspatial variationen_US
dc.subjectundrained shear strengthen_US
dc.subjectSpatial Variabilityen_US
dc.subjectSlopesen_US
dc.subjectDesignen_US
dc.titleVertical Variability of the Undrained Shear Strength of Golden Horn Clayen_US
dc.typearticleen_US
dc.relation.ispartofMarine Georesources & Geotechnologyen_US
dc.departmentFakülteler, Çorlu Mühendislik Fakültesi, İnşaat Mühendisliği Bölümüen_US
dc.identifier.volume27en_US
dc.identifier.issue4en_US
dc.identifier.startpage309en_US
dc.identifier.endpage321en_US
dc.institutionauthorBiçer, Perihan
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.authorscopusid12771755700
dc.authorscopusid55665363000
dc.authorwosidBiçer, Perihan/ABA-5633-2020
dc.authorwosidÖzener, Pelin/AAZ-9069-2020
dc.identifier.wosWOS:000271651900005en_US
dc.identifier.scopus2-s2.0-70449450454en_US


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