Please use this identifier to cite or link to this item: https://ktisis.cut.ac.cy/handle/10488/18983
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dc.contributor.authorGravanis, Elias-
dc.contributor.authorPantelidis, Lysandros-
dc.date.accessioned2020-09-16T07:49:42Z-
dc.date.available2020-09-16T07:49:42Z-
dc.date.issued2019-07-
dc.identifier.citationGeosciences, 2019, vol. 9, no. 7, articl. no. 295en_US
dc.identifier.issn2076-3263-
dc.identifier.urihttps://ktisis.cut.ac.cy/handle/10488/18983-
dc.description.abstractThis work intends to embed the estimation of the joint roughness coe cient (JRC) in the framework of random fields. The random field method is a probabilistic approach which involves modeling of the spatial variability of the pertinent physical quantities as a fundamental part of the (assumed) underlying probabilistic structure. Although this method is one of higher complexity in regard of the presumed background knowledge, it encodes naturally subtler information about the rock surface roughness. It is noted that, the proposed random field approach considers automatically the scale of the problem (no correction factor is needed), whilst the JRC estimates appear to be more stable (compared to those derived from Z2 or SF) in the sense that images of the same profile but of di erent quality give similar results for its roughness. The present work could also be useful in advanced probabilistic rock slope stability analysis based on random fields. In such a case, the required spatial correlation length can be obtained by the proposed = 145.5 /JRC relationship ( = variance of the profile). The JRC can be obtained through tilt tests, push or pull tests, or matching roughness profiles, whilst can be obtained from inspection of the digitized profile.en_US
dc.formatpdfen_US
dc.language.isoenen_US
dc.relation.ispartofGeosciencesen_US
dc.rights© 2019 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) licenseen_US
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 International*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.subjectJoint roughness coe cienten_US
dc.subjectBarton-Bandis criterionen_US
dc.subjectRandom fieldsen_US
dc.subjectSpatial correlation lengthen_US
dc.subjectFourier analysisen_US
dc.subjectProbabilistic analysisen_US
dc.titleDetermining of the Joint Roughness Coe cient (JRC) of Rock Discontinuities Based on the Theory of Random Fieldsen_US
dc.typeArticleen_US
dc.collaborationCyprus University of Technologyen_US
dc.subject.categoryCivil Engineeringen_US
dc.journalsOpen Accessen_US
dc.countryCyprusen_US
dc.subject.fieldEngineering and Technologyen_US
dc.publicationPeer Revieweden_US
dc.identifier.doi10.3390/geosciences9070295en_US
dc.relation.issue7en_US
dc.relation.volume9en_US
cut.common.academicyear2019-2020en_US
item.openairecristypehttp://purl.org/coar/resource_type/c_6501-
item.openairetypearticle-
item.fulltextWith Fulltext-
item.languageiso639-1en-
item.cerifentitytypePublications-
item.grantfulltextopen-
crisitem.journal.journalissn2076-3263-
crisitem.journal.publisherMDPI-
crisitem.author.deptDepartment of Civil Engineering and Geomatics-
crisitem.author.deptDepartment of Civil Engineering and Geomatics-
crisitem.author.facultyFaculty of Engineering and Technology-
crisitem.author.facultyFaculty of Engineering and Technology-
crisitem.author.orcid0000-0002-5331-6661-
crisitem.author.orcid0000-0001-5979-6937-
crisitem.author.parentorgFaculty of Engineering and Technology-
crisitem.author.parentorgFaculty of Engineering and Technology-
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