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contributor authorMichael A. Mooney
contributor authorHongjie Yu
date accessioned2022-12-27T20:45:33Z
date available2022-12-27T20:45:33Z
date issued2022/02/01
identifier othergeosek.0000397.pdf
identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4287939
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.
publisherASCE
titleArtificial Intelligence Applications for Tunneling
typeJournal Article
journal volume26
journal issue1
journal titleGEOSTRATA Magazine
identifier doi10.1061/geosek.0000397
journal fristpage40-47
journal lastpage40-47_1
page1
treeGEOSTRATA Magazine:;2022:;Volume ( 026 ):;issue: 001
contenttypeFulltext


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