Bases on the analyses of different factors contributing to tunnel collapse, this paper established a tunnel collapse risk evaluation model utilizing variable weight grey clustering method. To account for the significant variation of dimensions of each variable in the tunnel collapse model, empirical coefficients are introduced to modify each variable. The analysis shows that the updated variable weight grey clustering method is suitable for tunnel collapse risk evaluation in different locations, and is a usable tool to estimate risk level of tunnel construction.


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    Titel :

    Application of Variable Weight Grey Clustering Method in Tunnel Collapse Risk Evaluation


    Beteiligte:
    Yi, Zhenyu (Autor:in)

    Kongress:

    Ninth Asia Pacific Transportation Development Conference ; 2012 ; Chongqing, China


    Erschienen in:

    Erscheinungsdatum :

    2012-06-28




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch





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