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A new tunnel inflow classification (TIC) system through sedimentary rock masses

机译:通过沉积岩体的新型隧道入流分类(TIC)系统

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A new classification system with respect to the engineering geological characteristics of rock masses in different geological conditions were presented based on the authors' experiences and observations. Rock mass composition (RMC), rock type (RT), clay-bearing content (CBC), unconfined compressive strength (UCS) and tunnel depth (TD) were found as the major factors affecting the tunnel inflow. In order to minimize judgmental bias and set up a basic database, data pertaining to these factors were compiled from 33 tunnels project with a total length of about 200 km thoroughly excavated in sedimentary rocks. The classification factors were rated using a combination of the analytic hierarchy process (AHP) and statistical methods. In order to cover all rock mass varieties and lessen the uncertainties, major factors were divided into categories of varying quality. Two statistical criteria were introduced to calculate the weighing of categories. The main advantage of this procedure is its capability of effectively predicting ground-water inflows in a vast variety of geological conditions especially from a single flow pathway such as a brittle fault zone to low permeable rock masses. The proposed classification was applied to the actual rock tunnels. It was revealed that the predicted values were in a good agreement with the actual field measurements and could provide quantitative measures of tunnel inflow. The proposed method could be more feasible for a reliable pre-assessment of groundwater inflows in the future tunnel construction projects under heterogeneous geological conditions. Furthermore, the most important factors as well as their combination are introduced for sedimentary rocks.
机译:根据作者的经验和观察,提出了一种针对不同地质条件下岩体工程地质特征的新分类系统。岩石质量组成(RMC),岩石类型(RT),粘土含量(CBC),无侧限抗压强度(UCS)和隧道深度(TD)被发现是影响隧道入流的主要因素。为了最大程度地减少判断偏差并建立基础数据库,从33条隧道工程中收集了与这些因素有关的数据,这些隧道全长约200 km,是在沉积岩中彻底开挖的。使用分析层次过程(AHP)和统计方法的组合对分类因子进行评分。为了覆盖所有岩体种类并减少不确定性,将主要因素分为质量变化的类别。引入了两个统计标准来计算类别的权重。该程序的主要优点是能够有效预测各种地质条件下的地下水流入量,特别是从诸如脆性断层带等单一流动路径到低渗透性岩体的地下水流入量。提议的分类应用于实际的岩石隧道。结果表明,预测值与现场实测值吻合较好,可以为隧道入渗量的定量化提供依据。对于在异质地质条件下未来隧道建设项目中的地下水流入量进行可靠的预评估,所提出的方法可能更为可行。此外,介绍了沉积岩最重要的因素及其组合。

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