Please use this identifier to cite or link to this item:
https://hdl.handle.net/20.500.14279/18983
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Gravanis, Elias | - |
dc.contributor.author | Pantelidis, Lysandros | - |
dc.date.accessioned | 2020-09-16T07:49:42Z | - |
dc.date.available | 2020-09-16T07:49:42Z | - |
dc.date.issued | 2019-07 | - |
dc.identifier.citation | Geosciences, 2019, vol. 9, no. 7, articl. no. 295 | en_US |
dc.identifier.issn | 20763263 | - |
dc.identifier.uri | https://hdl.handle.net/20.500.14279/18983 | - |
dc.description.abstract | This 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.format | en_US | |
dc.language.iso | en | en_US |
dc.relation.ispartof | Geosciences | en_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) license | en_US |
dc.rights | Attribution-NonCommercial-NoDerivatives 4.0 International | * |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | * |
dc.subject | Joint roughness coe cient | en_US |
dc.subject | Barton-Bandis criterion | en_US |
dc.subject | Random fields | en_US |
dc.subject | Spatial correlation length | en_US |
dc.subject | Fourier analysis | en_US |
dc.subject | Probabilistic analysis | en_US |
dc.title | Determining of the Joint Roughness Coe cient (JRC) of Rock Discontinuities Based on the Theory of Random Fields | en_US |
dc.type | Article | en_US |
dc.collaboration | Cyprus University of Technology | en_US |
dc.subject.category | Civil Engineering | en_US |
dc.journals | Open Access | en_US |
dc.country | Cyprus | en_US |
dc.subject.field | Engineering and Technology | en_US |
dc.publication | Peer Reviewed | en_US |
dc.identifier.doi | 10.3390/geosciences9070295 | en_US |
dc.relation.issue | 7 | en_US |
dc.relation.volume | 9 | en_US |
cut.common.academicyear | 2019-2020 | en_US |
item.openairetype | article | - |
item.cerifentitytype | Publications | - |
item.fulltext | With Fulltext | - |
item.grantfulltext | open | - |
item.openairecristype | http://purl.org/coar/resource_type/c_6501 | - |
item.languageiso639-1 | en | - |
crisitem.author.dept | Department of Civil Engineering and Geomatics | - |
crisitem.author.dept | Department of Civil Engineering and Geomatics | - |
crisitem.author.faculty | Faculty of Engineering and Technology | - |
crisitem.author.faculty | Faculty of Engineering and Technology | - |
crisitem.author.orcid | 0000-0002-5331-6661 | - |
crisitem.author.orcid | 0000-0001-5979-6937 | - |
crisitem.author.parentorg | Faculty of Engineering and Technology | - |
crisitem.author.parentorg | Faculty of Engineering and Technology | - |
crisitem.journal.journalissn | 2076-3263 | - |
crisitem.journal.publisher | MDPI | - |
Appears in Collections: | Άρθρα/Articles |
Files in This Item:
File | Description | Size | Format | |
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geosciences-09-00295.pdf | Abstract | 2.47 MB | Adobe PDF | View/Open |
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