基于未确知聚类的隧道涌水类别判别方法

Discrimination of Tunnel Water Gushing Based on the Unascertained Clustering Method

以国内8条隧道的涌水量原始数据作为研究样本,将其进行分类。运用未确知测度预测方法,选取年降水量、地质-水文地质条件、地表汇流条件及地表水体补给条件4项主要影响因素作为评价指标,建立了可行的未确知测度模型。经验证,未确知测度预测判别方法的正确率高,可以迅速判别隧道涌水所属的类别,为隧道涌水量的类别判别提供了一种新方法。

The original water gushing data ineight tunnelsin Chinawere collected and classified.The prediction method of unascertained measurewas used to establish afeasible unascertained measurement model. There are many uncertain factors affecting tunnel water inflow, among which annual precipitation, geological and hydrogeological conditions, surface flow conditions and surface water supply conditionsare the most important ones, so they can be used as evaluation indices of the unascertained measurement model. Discrimination and analysis show that the accuracy of the discrimination method is high, which can be usedtoquickly distinguish categories of tunnel water gushing, providinga new way for tunnel water gushingdiscrimination.