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dc.contributor.authorKaraman, Kadir
dc.contributor.authorKaya, Ayberk
dc.contributor.authorKesimal, Ayhan
dc.date.accessioned2020-12-19T19:57:09Z
dc.date.available2020-12-19T19:57:09Z
dc.date.issued2015
dc.identifier.citationKaraman, K., Kaya, A., Kesimal, A. (2015). Use of the point load index in estimation of the strength rating for the RMR system. Journal of African Earth Sciences, 106, 40-49. https://doi.org/10.1016/j.jafrearsci.2015.03.006en_US
dc.identifier.issn1464-343X
dc.identifier.issn1879-1956
dc.identifier.urihttps://doi.org/10.1016/j.jafrearsci.2015.03.006
dc.identifier.urihttps://hdl.handle.net/11436/2820
dc.descriptionWOS: 000355348900003en_US
dc.description.abstractThe Rock Mass Rating (RMR) system is a worldwide reference for design applications involving estimation of rock mass properties and tunnel support. in the RMR system, Uniaxial Compressive Strength (UCS) is an important input parameter to determine the strength rating of intact rock. in practice, there are some difficulties in determining the UCS of rocks from problematic ground conditions due to rapid data requirements. in this study, a combined strength rating chart was developed to overcome this problem based on the experience gained in the last decades from the point load test. For this purpose, a total of 490 UCS and Point Load Index (PLI) data pairs collected from the accessible world literature and obtained from the Eastern Black Sea Region (EBSR) in Turkey were evaluated together. the UCS and PLI data pairs were classified for the cases of PLI < 1 and PLI > 1 MPa, and two different strength rating charts were suggested by using the regression analyses. the Variance Account For (VAF), Root Mean Square Error (RMSE) and Mean Absolute Percentage Error (MAPE) indices were calculated to compare the performance of the prediction capacity of the suggested strength rating charts. Further, the one way analysis of variance (ANOVA) was performed to test whether the means of the calculated and predicted ratings are similar to each other. Findings of the analyses have demonstrated that the combined strength rating chart for the cases of PLI < 1 and PLI > 1 MPa can be reliably used in estimation of the strength ratings for the RMR system. (C) 2015 Elsevier Ltd. All rights reserved.en_US
dc.description.sponsorshipKaradeniz Technical University (KTU) - TurkeyKaradeniz Technical University [9706]en_US
dc.description.sponsorshipAuthors would like to express their sincerest gratitude to the editor and reviewers for their invaluable comments, and Mr. Philip Gallagher from EF Education First Language School in UK for improving the language of the manuscript. the authors would like to acknowledge the Karadeniz Technical University (KTU) - Turkey for funding this work through research Project No: 9706.en_US
dc.language.isoengen_US
dc.publisherPergamon-Elsevier Science Ltden_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectANOVAen_US
dc.subjectUniaxial compressive strengthen_US
dc.subjectPoint load indexen_US
dc.subjectRMR systemen_US
dc.subjectStrength ratingen_US
dc.titleUse of the point load index in estimation of the strength rating for the RMR systemen_US
dc.typearticleen_US
dc.contributor.departmentRTEÜ, Mühendislik ve Mimarlık Fakültesi, İnşaat Mühendisliği Bölümüen_US
dc.contributor.institutionauthorKaya, Ayberk
dc.identifier.doi10.1016/j.jafrearsci.2015.03.006
dc.identifier.volume106en_US
dc.identifier.startpage40en_US
dc.identifier.endpage49en_US
dc.relation.journalJournal of African Earth Sciencesen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US


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