Estimating strength of rock masses using fuzzy inference system

dc.contributor.authorSarı, Mehmet
dc.date.accessioned13.07.201910:50:10
dc.date.accessioned2019-07-16T08:21:54Z
dc.date.available13.07.201910:50:10
dc.date.available2019-07-16T08:21:54Z
dc.date.issued2016
dc.departmentMühendislik Fakültesi
dc.descriptionInternational Symposium on International Society for Rock Mechanics, ISRM 2016 -- 29 August 2016 through 31 August 2016 -- -- 179639
dc.description.abstractThis paper describes how to apply fuzzy inference system (FIS) to estimate the strength of field scale rock masses by judgment and experience of practicing engineers. Three important parameters believed to influence the rock mass behavior namely intact rock strength, block size, and joint surface condition are defined as fuzzy variables. The strength of jointed rock masses is then estimated by incorporating different combinations of three fuzzy inputs into Mamdani rule-based FIS model. To validate the accuracy of the model results, a comprehensive rock mass data is collected from the literature and the strength of rock masses estimated using different empirical equations is compared to the strength of rock masses estimated from the FIS model. It is concluded that the newly developed model compares well with the estimated results and it can be recommended as an alternative method for the rock mass strength predictions instead of empirical approaches in practice. © 2016 Taylor & Francis Group, London.
dc.identifier.endpage134en_US
dc.identifier.isbn9781138032651 -- 9781138032651
dc.identifier.scopusqualityN/A
dc.identifier.startpage129en_US
dc.identifier.urihttps://hdl.handle.net/20.500.12451/2390
dc.identifier.volume1en_US
dc.indekslendigikaynakScopus
dc.language.isoen
dc.publisherCRC Press/Balkema
dc.relation.ispartofRock Mechanics and Rock Engineering: From the Past to the Future
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.titleEstimating strength of rock masses using fuzzy inference system
dc.typeConference Object

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