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dc.contributor.authorMichael A. Mooney
dc.contributor.authorHongjie Yu
dc.date.accessioned2022-12-27T20:45:33Z
dc.date.available2022-12-27T20:45:33Z
dc.date.issued2022/02/01
dc.identifier.othergeosek.0000397.pdf
dc.identifier.urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4287939
dc.description.abstractGeotechnical uncertainty is the governing source of risk on urban tunnel projects. A typical preconstruction geotechnical site investigation for a tunnel project involves vertical and/or inclined boreholes spaced at 50-m to 75-m intervals along alignments often extending for kilometers. This leads to a sampling rate of less than 0.1 percent of the ground. The result is a very high level of geotechnical and geological uncertainty, with reliance on desktop study and understanding of geological processes to help fill in very large information gaps.
dc.publisherASCE
dc.titleArtificial Intelligence Applications for Tunneling
dc.typeJournal Article
dc.journal.volume26
dc.journal.issue1
dc.journal.titleGEOSTRATA Magazine
dc.identifier.doi10.1061/geosek.0000397
dc.journal.fristpage40-47
dc.journal.lastpage40-47_1
dc.page1
dc.treeGEOSTRATA Magazine:;2022:;Volume ( 026 ):;issue: 001
dc.contenttypeFulltext


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