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    Simulation-Based Analysis of Tunnel Boring Machine Performance in Tunneling Excavation

    Source: Journal of Computing in Civil Engineering:;2016:;Volume ( 030 ):;issue: 004
    Author:
    Limao Zhang
    ,
    Xianguo Wu
    ,
    Miroslaw J. Skibniewski
    DOI: 10.1061/(ASCE)CP.1943-5487.0000542
    Publisher: American Society of Civil Engineers
    Abstract: This paper develops a hybrid simulation approach that integrates a dynamic default tree (DFT) and discrete-time Bayesian network (DTBN) to support tunnel boring machine (TBM) performance prediction and diagnosis. A causal network model consisting of 20 nodes is built to simulate shield cutter head failure over time during the TBM operation. A total of three indicators, namely,
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      Simulation-Based Analysis of Tunnel Boring Machine Performance in Tunneling Excavation

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    http://yetl.yabesh.ir/yetl1/handle/yetl/81974
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    contributor authorLimao Zhang
    contributor authorXianguo Wu
    contributor authorMiroslaw J. Skibniewski
    date accessioned2017-05-08T22:31:21Z
    date available2017-05-08T22:31:21Z
    date copyrightJuly 2016
    date issued2016
    identifier other48299724.pdf
    identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/81974
    description abstractThis paper develops a hybrid simulation approach that integrates a dynamic default tree (DFT) and discrete-time Bayesian network (DTBN) to support tunnel boring machine (TBM) performance prediction and diagnosis. A causal network model consisting of 20 nodes is built to simulate shield cutter head failure over time during the TBM operation. A total of three indicators, namely,
    publisherAmerican Society of Civil Engineers
    titleSimulation-Based Analysis of Tunnel Boring Machine Performance in Tunneling Excavation
    typeJournal Paper
    journal volume30
    journal issue4
    journal titleJournal of Computing in Civil Engineering
    identifier doi10.1061/(ASCE)CP.1943-5487.0000542
    treeJournal of Computing in Civil Engineering:;2016:;Volume ( 030 ):;issue: 004
    contenttypeFulltext
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    DSpace software copyright © 2002-2015  DuraSpace
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