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基于未确知聚类的隧道涌水类别判别方法
引用本文:赵国彦,申燕元,唐洋.基于未确知聚类的隧道涌水类别判别方法[J].科技导报(北京),2014,32(20):44-48.
作者姓名:赵国彦  申燕元  唐洋
作者单位:中南大学资源与安全工程学院, 长沙410083
基金项目:国家重点基础研究发展计划(973计划)项目(2010CB732004);国家重点实验室开放基金项目(SKLGDUEK0906)
摘    要: 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。

关 键 词:隧道涌水  矿井安全  未确知测度  
收稿时间:2014-03-19

Discrimination of Tunnel Water Gushing Based on the Unascertained Clustering Method
ZHAO Guoyan,SHEN Yanyuan,TANG Yang.Discrimination of Tunnel Water Gushing Based on the Unascertained Clustering Method[J].Science & Technology Review,2014,32(20):44-48.
Authors:ZHAO Guoyan  SHEN Yanyuan  TANG Yang
Institution:School of Resources and Safety Engineering, Central South University, Changsha 410083, China
Abstract: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.
Keywords:tunnel gushing  mine safety  unascertained measurement  
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