地铁隧道围岩亚级分级与估算系统研究

发布时间：2019-04-30 21:18

【摘要】：随着大量城市地铁隧道的修建,目前围岩分级方法在一定程度上不能满足存在大量地下水、软弱结构面和高地应力等复杂条件下的围岩分级需要,在实际地铁隧道施工过程中,也存在围岩级别相同时其稳定性相差很大的现象。因此,建立新的地铁隧道施工阶段围岩综合分级方法非常有必要。为了减少因围岩分级问题而导致的地铁隧道施工中经常出现的围岩坍塌,透水等地质灾害,更加清晰的了解施工段围岩地质情况,本文针对武汉地铁隧道的具体现状,对现场地质调查和地质资料进行收集整理,在岩体基本质量分级的基础上,采用判别分析方法对围岩进行定性转定量的亚级分级。结合C#与ArcEngine的二次开发实现自动计算地质钻孔的岩体级别并可以根据距离高次方反比法原理利用已有地质钻孔数据对围岩进行等级估算和三维分级显示渲染,利用KML地标将已经进行了岩体基本质量等级估算的围岩的详细信息记录在系统Google Earth平台上进行实时发布实现资源的共享。主要研究内容包括:(1)关键技术研究,包括判别分析在岩体定性转定量的亚级分级方法中的理论研究与应用,并利用判别分析建立围岩亚级分级理论标准;对距离高次方反比法、交叉验证误差、KML技术、基于无线WIFI网络和无线蜂窝网的计算机定位技术的原理和应用进行研究。(2)根据地铁隧道施工地段围岩与地质钻孔具体分布情况,结合Google SketchUp和ArcGIS软件建造隧道围岩和地质钻孔三维模型,用于系统的三维显示和分析。(3)利用C#结合Google Earth与ArcEngine的二次开发来设计一款具有岩体级别自动计算、围岩等级估算、误差分析、插值结果三维显示渲染、分级结果发布与共享功能的软件。(4)以地铁隧道施工线路W段作为系统测试的具体实例,并运用多种方法对系统误差进行估算。研究结果表明,基于判别分析的岩体基本质量亚级分级方法对隧道围岩分级更加精确,可以满足有大量地下水和软弱结构面等复杂条件下的围岩分级需要,且围岩亚级分级与估算系统也具有较好的实用性。利用判别函数对500个已知等级的样本进行回代计算的准确率高达91.8%,系统对围岩等级估算的反算误差为8.97%,与开挖后揭示信息对比误差为11%,三维分级渲染结果与实际情况较为接近,可以为地铁隧道施工提供参考,也可以作为后续工程施工工程地质数据库的补充,以便最大限度的利用已有数据资源,减少工程支出,优化工程指导,提升工程勘察质量等。
[Abstract]:With the construction of a large number of urban subway tunnels, the classification method of surrounding rock can not satisfy the needs of classification of surrounding rocks under complicated conditions such as a large amount of groundwater, weak structural surface and high in-situ stress to a certain extent. There is also a phenomenon that the stability of the surrounding rock is very different when the grade of the surrounding rock is the same. Therefore, it is necessary to establish a new comprehensive classification method of surrounding rock in the construction stage of subway tunnel. In order to reduce the geological disasters such as collapse of surrounding rock and permeability caused by surrounding rock classification in subway tunnel construction, we can understand the geological situation of surrounding rock in construction section more clearly. This paper aims at the concrete situation of Wuhan metro tunnel in view of the concrete situation of Wuhan metro tunnel. The on-site geological survey and geological data are collected and sorted. On the basis of the classification of rock mass quality, the method of discriminant analysis is used to carry out qualitative and quantitative sub-grade classification of surrounding rock. Combined with the secondary development of C # and ArcEngine, the automatic calculation of rock mass grade of geological borehole can be realized, and the surrounding rock can be estimated and rendered according to the principle of inverse ratio of high-order distance by using the existing geological borehole data, and the three-dimensional grading and rendering of surrounding rock can be carried out. The detailed information of surrounding rock which has been estimated the basic quality grade of rock mass is recorded by KML landmark on the system Google Earth platform for real-time publishing to realize the sharing of resources. The main contents are as follows: (1) the research on key techniques, including the theoretical research and application of discriminant analysis in the qualitative and quantitative sub-grade classification method of rock mass, and the establishment of the theoretical standard of sub-grade classification of surrounding rock by means of discriminant analysis; Inverse ratio method for high-order distance, cross-validation error, KML technique, The principle and application of computer positioning technology based on wireless WIFI network and wireless cellular network are studied. (2) according to the concrete distribution of surrounding rock and geological borehole in the construction area of subway tunnel, Combined with Google SketchUp and ArcGIS software, the 3D model of tunnel surrounding rock and geological borehole is built for the display and analysis of the system. (3) an automatic calculation of rock mass grade is designed by using C # combined with the secondary development of Google Earth and ArcEngine. Surrounding rock grade estimation, error analysis, interpolation results 3D display rendering, grading results publishing and sharing function software. (4) taking W section of subway tunnel construction line as a concrete example of system test. A variety of methods are used to estimate the system error. The results show that the subgrade classification method of rock mass based on discriminant analysis is more accurate for tunnel surrounding rock classification and can meet the needs of surrounding rock classification under complicated conditions such as a large amount of groundwater and weak structural surfaces. Moreover, the sub-grade classification and estimation system of surrounding rock has good practicability. The accuracy of back generation calculation of 500 samples of known grade by discriminant function is up to 91.8%. The inverse calculation error of the system to estimate the grade of surrounding rock is 8.97%, and the error of comparing with the information revealed after excavation is 11%. The results of 3D hierarchical rendering are close to the actual situation, which can provide reference for subway tunnel construction, and can be used as a supplement to the geological database of follow-up engineering construction, so as to maximize the use of existing data resources and reduce project expenditure. Optimize engineering guidance, improve engineering survey quality, etc.
【学位授予单位】：武汉理工大学
【学位级别】：硕士
【学位授予年份】：2015
【分类号】：U231.1;U452.12

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