隧道围岩大变形评价的改进云模型及其应用

针对隧道围岩大变形评价的不确定性和随机性问题,基于改进的云模型理论,建立了隧道围岩大变形评价的改进云模型评价方法,该方法运用云理论中的云雾化条件将大变形指标权重进行融合,进而得到综合评价指标权重,并用正态云替代传统模型中的特征值,计算云相关度和评价指标权重,最后通过综合云计算获得隧道围岩大变形评价结果。将此方法应用于西藏米拉山隧道围岩大变形评价,其结果为Ⅳ级大变形,与实际结果一致,表明隧道围岩大变形评价的改进云模型评价方法合理可行,可应用于隧道围岩大变形的评价。

Improved cloud model for evaluation of large deformation of tunnel surrounding rock and its application

Aiming at the problems of the uncertainty and randomness of the evaluation made on the large deformation of tunnel surrounding rock，a method of improved cloud model for evaluating the large deformation of tunnel surrounding rock is established herein based on the improved cloud model theory． With this method，the clouding conditions in the cloud theory are applied to fuse the index weights of the large deformation，and then the index weights for the comprehensive evaluation are obtained，while the clouding relevancies and the evaluation index weights are calculated by means of replacing the characteristic values with the normal cloud alternatives． Finally，the evaluation result of tunnel surrounding rock deformation is obtained through comprehensive cloud computation． The method is applied to the evaluation of the large surrounding rock deformation of Mila Mountain Tunnel in Tibet，of which the result is that it is a grade IV deformation and is consistent with the actual result． It is indicated that the method of the improved cloud model for evaluating the large deformation of tunnel surrounding rock is reasonable and feasible，thus can be applied to the evaluation of large deformation of tunnel surrounding rock．