Application of Variable Weight Grey Clustering Method in Tunnel Collapse Risk Evaluation
Zhenyu Yi · 2012
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.