西成线大秦岭隧道围岩破碎和涌水情况预测预报
发布时间:2018-04-19 10:47
本文选题:大秦岭隧道 + 超前地质预报 ; 参考:《成都理工大学》2015年硕士论文
【摘要】:随着我国西部山岭重丘地区长、大、深埋隧道的大规模修建,隧道施工过程中穿越地段的水文-工程地质背景越来越复杂。为了保证安全、高效的进行隧道施工,超前地质预报工作就显得极其必要。本文主要是结合西成客运专线大秦岭隧道水文地质、工程地质背景资料来对隧道超前地质预报工作进行分析研究的。研究内容主要围绕以下几个方面展开:1.结合前期施工勘察资料,对大秦岭隧道隧址区地形地貌、地层岩性、地质构造等工程地质条件进行分析评价。2.着重研究隧址区区域水文地质,诸如地下水赋存和地下水循环特征等;采用大气降水入渗法、地下水径流模数法及地下水动力学法三种方法对隧址区进行分段涌水量计算,并结合相关水文地质资料对整条隧道进行分段富水特性分析和水文地质条件评价。3.结合隧址区水文地质、工程地质背景资料,提出采用以水文-工程地质分析方法为核心,坚持物探手段和地质分析相结合,长期与短期预报相结合,在隧道超前预报工作中合理安排应用TSP、GPR和红外探水三种物探手段,最后结合隧址区地质条件和掌子面地质素描资料来对超前预报工作的准确性进行综合判定的预测方法,并应用该预测方法指导大秦岭隧道超前预报工作。4.针对大秦岭隧道开挖过程中掌子面前方围岩体破碎和涌突水两种常见地质灾害建立模糊综合评判系统进行综合预报分析和研究。大秦岭隧道隧址区区域水文地质、工程地质条件复杂。隧道施工过程中穿越断层地带较多,断层附近,岩体破碎;地下水以基岩裂隙水为主,渗入-径流型循环系统,局部地段岩体富水;开挖过程中,采用上述超前预报工作方法成功的构建了一套适合该隧道的动态预测系统,为大秦岭隧道安全、快速施工提供了技术支撑和安全保证;模糊综合评判系统预测结果与实际情况基本吻合,也再次证明了该动态探测系统的适用性和科学性。
[Abstract]:With the large-scale construction of long, large and deep buried tunnels in the mountainous and heavy hilly areas in the western part of China, the hydrological and engineering geological background across the section in the course of tunnel construction is becoming more and more complicated.In order to ensure the safety and efficiency of tunnel construction, advance geological prediction is extremely necessary.Based on the hydrogeological and engineering geological background data of the Great Qinling Tunnel in Xicheng passenger dedicated Line, this paper analyzes and studies the advance geological forecast of the tunnel.The research focuses on the following aspects: 1.Combined with the previous construction survey data, the engineering geological conditions of the tunnel site area of Dachinling Tunnel, such as topography and geomorphology, stratigraphic lithology, geological structure and so on, are analyzed and evaluated.The regional hydrogeology of the tunnel area, such as groundwater occurrence and groundwater circulation characteristics, is studied emphatically, and three methods, I. E. precipitation infiltration method, groundwater runoff modulus method and groundwater dynamics method, are used to calculate the segmental inflow of water in the tunnel area.Combined with the relevant hydrogeological data, the paper analyzes the water enrichment characteristics of the whole tunnel and evaluates the hydrogeological conditions.Combining with hydrogeology and engineering geological background data in tunnel area, this paper puts forward that the method of hydrology and engineering geology analysis should be taken as the core, the combination of geophysical exploration means and geological analysis, and the combination of long term and short term forecast should be adopted.In the work of tunnel advance prediction, three kinds of geophysical prospecting means, TSPGPR and infrared water prospecting, are reasonably arranged. Finally, combined with the geological conditions of tunnel area and the geological sketch data of the sub-face of the tunnel, the prediction method of synthetically judging the accuracy of the advance forecast work is given.The prediction method is used to guide the advanced forecast of Daqinling tunnel.A fuzzy comprehensive evaluation system is established to forecast and study two kinds of common geological disasters in the excavation process of Daqinling tunnel: rock mass breakage and water inrush in front of the face of the face.The regional hydrogeology in the tunnel site area of the Great Qinling Mountains is complicated with engineering geological conditions.In the course of tunnel construction, there are more cross fault zones, near faults, rock mass is broken; groundwater is dominated by bedrock fissure water, infiltrating into the circulation system of runoff type, local rock mass is rich in water; during excavation,A set of dynamic prediction system suitable for the tunnel is successfully constructed by using the method of advanced forecast, which provides technical support and safety guarantee for the safety and fast construction of the tunnel in the Great Qinling Mountains.The prediction results of the fuzzy comprehensive evaluation system are in good agreement with the actual situation, and the applicability and scientific nature of the dynamic detection system are proved again.
【学位授予单位】:成都理工大学
【学位级别】:硕士
【学位授予年份】:2015
【分类号】:U452.11
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