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    Artificial Intelligence Applications for Tunneling

    Source: GEOSTRATA Magazine:;2022:;Volume ( 026 ):;issue: 001::page 40-47
    Author:
    Michael A. Mooney
    ,
    Hongjie Yu
    DOI: 10.1061/geosek.0000397
    Publisher: ASCE
    Abstract: Geotechnical 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.
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      Artificial Intelligence Applications for Tunneling

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    http://yetl.yabesh.ir/yetl1/handle/yetl/4287939
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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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    DSpace software copyright © 2002-2015  DuraSpace
    نرم افزار کتابخانه دیجیتال "دی اسپیس" فارسی شده توسط یابش برای کتابخانه های ایرانی | تماس با یابش
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