Incorporating Variability and/or Uncertainty of Rock Mass Properties into GSI and RMi Systems Using Monte Carlo Method

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dc.authoridSari, Mehmet -- 0000-0001-9441-9256
dc.contributor.authorSari, Mehmet
dc.contributor.editorLollino, G
dc.contributor.editorGiordan, D
dc.contributor.editorThuro, K
dc.contributor.editorCarranzaTorres, C
dc.contributor.editorWu, F
dc.contributor.editorMarinos, P
dc.contributor.editorDelgado, C
dc.date.accessioned13.07.201910:50:10
dc.date.accessioned2019-07-29T19:30:27Z
dc.date.available13.07.201910:50:10
dc.date.available2019-07-29T19:30:27Z
dc.date.issued2015
dc.departmentMühendislik Fakültesi
dc.description12th International IAEG Congress -- SEP 15-19, 2014 -- Torino, ITALY
dc.descriptionWOS:000359016200152
dc.description.abstractThis paper introduces a probability-based methodology that can be used to evaluate alternative approaches on account of the uncertainties associated with predicting the rock mass properties. The use of this methodology is illustrated through its application for two rock mass case studies. In this regard, the probabilistic spreadsheet models are developed for the strength estimation of Kizilkaya ignimbrite and New Zealand greywacke. The frequency histograms and/or the density functions that best describe the data distribution are used as inputs in GSI and RMi systems. This approach allows the variability and/or uncertainty of the available data to be adequately taken into account during simulations. The developed spreadsheet models are also used to quantify the influence of various material and discontinuity characteristics on the resultant strength properties of the studied rock masses. Sensitivity analysis explicitly shows that joint spacing and UCS of intact rock are the most effective parameters on the estimated rock mass strengths.
dc.description.sponsorshipIAEG
dc.identifier.doi10.1007/978-3-319-09060-3_152
dc.identifier.endpage849en_US
dc.identifier.isbn978-3-319-09060-3; 978-3-319-09059-7
dc.identifier.scopusqualityN/A
dc.identifier.startpage843en_US
dc.identifier.urihttps://doi.org/10.1007/978-3-319-09060-3_152
dc.identifier.urihttps://hdl.handle.net/20.500.12451/6276
dc.identifier.wosWOS:000359016200152
dc.identifier.wosqualityN/A
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.language.isoen
dc.publisherSpringer
dc.relation.ispartofEngineering Geology for Society and Territory
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.subjectRock mass
dc.subjectKizilkaya ignimbrite
dc.subjectSensitivity analysis
dc.subjectFailure criterion
dc.subjectUCS
dc.titleIncorporating Variability and/or Uncertainty of Rock Mass Properties into GSI and RMi Systems Using Monte Carlo Method
dc.typeConference Object

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