Please use this identifier to cite or link to this item: https://hdl.handle.net/11499/7165
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dc.contributor.authorYağız, Saffet-
dc.date.accessioned2019-08-16T12:16:57Z
dc.date.available2019-08-16T12:16:57Z
dc.date.issued2008-
dc.identifier.issn0886-7798-
dc.identifier.urihttps://hdl.handle.net/11499/7165-
dc.identifier.urihttps://doi.org/10.1016/j.tust.2007.04.011-
dc.description.abstractThe key parameters on the estimation of tunnel-boring machine (TBM) performance are rock strength, toughness, discontinuity in rock mass, type of TBM and its specifications. The aim of this study is to both assess the influence of rock mass properties on TBM performance and construct a new empirical equation for estimation of the TBM performance. To achieve this aim, the database composed of actual measured TBM penetration rate and rock properties (i.e., uniaxial compressive strength, Brazilian tensile strength, rock brittleness/toughness, distance between planes of weakness, and orientation of discontinuities in rock mass) were established using the data collected from one hard rock TBM tunnel (the Queens Water Tunnel # 3, Stage 2) about 7.5 km long, New York City, USA. Intact rock properties were obtained from laboratory studies conducted at the Earth Mechanics Institute (EMI) in the Colorado School of Mines, CO, USA. Based on generated database, the statistical analyses were performed between available rock properties and measured TBM data in the field. The result revealed that rock mass properties have strong affect on TBM performance. It is concluded that TBM performance could be estimated as a function of rock properties utilizing new equation (r = 0.82). © 2007 Elsevier Ltd. All rights reserved.en_US
dc.language.isoenen_US
dc.relation.ispartofTunnelling and Underground Space Technologyen_US
dc.relation.ispartofUluslararası Hakemli Dergien_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectBTSen_US
dc.subjectDiscontinuityen_US
dc.subjectTBMen_US
dc.subjectToughnessen_US
dc.subjectUCSen_US
dc.subjectBoringen_US
dc.subjectBoring machines (machine tools)en_US
dc.subjectBrittlenessen_US
dc.subjectRocksen_US
dc.subjectStatistical methodsen_US
dc.subjectTensile strengthen_US
dc.subjectTunneling machinesen_US
dc.subjectRock mass propertiesen_US
dc.subjectRock tunnelen_US
dc.subjectTunnel-boring machine (TBM)en_US
dc.subjectTunnelsen_US
dc.subjectcompressive strengthen_US
dc.subjecthard rocken_US
dc.subjectrock mass classificationen_US
dc.subjectrock mechanicsen_US
dc.subjectrock propertyen_US
dc.titleUtilizing rock mass properties for predicting TBM performance in hard rock conditionen_US
dc.typeArticleen_US
dc.identifier.volume23en_US
dc.identifier.issue3en_US
dc.identifier.startpage326
dc.identifier.startpage326en_US
dc.identifier.endpage339en_US
dc.identifier.doi10.1016/j.tust.2007.04.011-
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.identifier.scopus2-s2.0-39749166977en_US
dc.identifier.wosWOS:000255527400012en_US
dc.identifier.scopusqualityQ1-
dc.ownerPamukkale University-
item.cerifentitytypePublications-
item.languageiso639-1en-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.fulltextNo Fulltext-
item.openairetypeArticle-
item.grantfulltextnone-
crisitem.author.dept10.08. Geological Engineering-
Appears in Collections:Mühendislik Fakültesi Koleksiyonu
Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection
WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection
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