摘要
红豆山隧道主要穿越云母花岗岩、变质花岗糜棱岩等非可溶岩地层,施工期间其2号斜井平导发生了大规模突涌水。为合理预测隧道涌水量,对红豆山隧道穿越花岗岩蚀变带地区的工程特点及涌水的成因机理进行了分析,并建立了相关的涌水评价等级层次结构模型。结合研究区水文地质条件及现场监测情况,对红豆山隧道涌水量危险性进行了等级划分,利用模糊数学预测了红豆山隧道2号斜井的涌水量。结果表明:(1)影响红豆山隧道涌水的相关因素主要分为工程地质、水文地质及隧道工况3个方面,共9个因素;(2)提出的模糊数学模型预测的平均涌水量与实际工程涌水量的误差为2.61%,满足工程实际施工的准确性精度,能够为类似工程的涌水量预测提供参考。
Large-scale water inrush occurred in the horizontal lead of the No.2 inclined shaft of the Hongdoushan tunnel,which mainly passes through non-soluble rock formations such as mica granite and metamorphic granite mylonite.In order to predict the water inrush volume of the tunnel in the granite alteration zone,the engineering characteristics of the granite alteration zone in the Hongdoushan tunnel and the cause mechanism of the water inrush are analyzed.A relevant hierarchical structure model of water inrush evaluation was established.Combining the hydrogeological conditions,geological conditions of the study area with the on-site monitoring,the hazard of the Hongdoushan tunnels water inrush is classified.Finally,fuzzy mathematics is used to predict the water inrush from the horizontal guide of the No.2 inclined shaft of Hongdoushan tunnel.The results show that:(1)The influencing factors of water gushing in Hongdoushan tunnel are mainly divided into three aspects:engineering geology,hydrogeology and tunnel working conditions,with 9 factors in total.Based on these factors,the predicting model is thus established.(2)The predictions of water inflow given by the proposed model have a percentage error of 2.61 compared to the actual one,which could meet the requirement of engineering application.Thus,the proposed model could provide accurate predictions on relevant engineering.
作者
苏培东
赵熠
邱鹏
李有贵
全斐
Su Peidong;Zhao Yi;Qiu Peng;Li Yougui;Quan Fei(College of Earth Sciences and Technology,Southwest Petroleum University,Chengdu,610500,P.R.China;Dalin Railway Project Department of China Railway Ten Bureau Group Co.Ltd.,Lincang,Yunnan 675800,P.R.China)
出处
《地下空间与工程学报》
CSCD
北大核心
2023年第1期291-301,318,共12页
Chinese Journal of Underground Space and Engineering
关键词
隧道工程
花岗岩蚀变带
突涌机理
涌水量预测
模糊数学
tunnel engineering
granite alteration zone
water inflow mechanism
water inflow prediction
fuzzy mathematics