一种岩溶隧道涌水量预测的新方法——以中梁山岩溶隧道工程为例  

A new method for predicting water in flow in Karst tunnel: case of Zhongliangshan karst tunnel project

作　　者：唐宁 王林峰[1] 周楠 傅奕帆 TANG Ning;WANG Linfeng;ZHOU Nan;FU Yifan(Key Laboratory of Geological Hazards Mitigation for Mountainous Highway and Waterway of Chongqing Municipal Education Commission,Chongqing Jiaotong University,Chongqing 400074,China)

机构地区：[1]重庆交通大学山区公路水运交通地质减灾重庆市高校市级重点实验室,重庆400047

出　　处：《人民长江》2021年第4期141-148,共8页Yangtze River

基　　金：国家重点研发计划重点专项子课题(2016YFC0802206-3);国家自然科学基金项目(51678097)。

摘　　要：为了精准预测岩溶隧道涌水量,提高隧道施工安全性,以成渝高速中梁山隧道YK2+835-YK3+240段为研究对象,重点研究了隧道穿越含溶洞地层时涌水量的预测问题。以复势法和圆岛模型为理论基础,推导了岩溶隧道涌水量预测公式。通过改变围岩渗透系数、含水层厚度和溶洞与隧道直线间距,分析得到各因素对隧道涌水量的影响规律。研究结果表明:该方法所得理论值与工程测量值基本吻合,误差为11.0%,在允许范围内;3个因素的变化都会引起隧道与溶洞间流网的变化,总体上三个参数对隧道涌水量的影响都是正相关的,其中隧道上方含水层厚度变化的影响最大,平均增幅为20.3%;渗透系数的影响次之,平均增幅为9.2%;溶洞与隧道间距变化的影响最小,平均增幅为5.3%。因此,应综合考虑多个因素,以提高岩溶地区隧道涌水量预测的精确性。In order to accurately predict karst tunnel water inflow and improve the safety of tunnel construction, taking the YK2+835-YK3+240 section of Zhongliangshan Tunnel of Chengdu-Chongqing Expressway as the research object, we predict the water inflow when the tunnel passes through karst cave stratum.Based on the theory of complex potential method and round island model, the prediction formula of tunnel inflow in karst cave is derived.By changing the permeability coefficient of surrounding rock, the thickness of aquifer and the linear distance between karst cave and tunnel, the influence rules of each factor on tunnel water inflow are analyzed.The results show that the theoretical value obtained by this method is basically consistent with the engineering measured value, and the error is 11%,within the allowable range.The change of the three factors will lead to the change of the flow network between the tunnel and the karst cave, and the tunnel water inflow is increasing in general.The thickness variation of the aquifer above the tunnel has the greatest influence, with an average increase of 20.3%.The influence of permeability coefficient variation is the second, with an average increase of 9.2%.The influence of the distance variation between karst cave and tunnel is the least, with an average increase of 5.3%.Therefore, multiple factors should be considered comprehensively to improve the accuracy of tunnel inflow prediction in karst area.

关 键 词：涌水量预测 溶洞 含水层厚度 渗透系数 复势法 圆岛模型 隧道工程 

分 类 号：U456.3[建筑科学—桥梁与隧道工程]