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Prediction of water inflow to mechanized tunnels during tunnel-boring-machine advance using numerical simulation

机译:使用数值模拟预测隧道钻孔机预测在隧道钻孔机前进期间的水流隧道

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摘要

An accurate estimate of the groundwater inflow to a tunnel is one of the most challenging but essential tasks in tunnel design and construction. Most of the numerical or analytical solutions that have been developed ignore tunnel seepage conditions, material properties and hydraulic-head changes along the tunnel route during the excavation process, leading to inaccurate prediction of inflow rates. A method is introduced that uses MODFLOW code of GMS software to predict inflow rate as the tunnel boring machine (TBM) gradually advances. In this method, the tunnel boundary condition is conceptualized and defined using Drain package, which is simulated by dividing the drilling process into a series of successive intervals based on the tunnel excavation rates. In addition, the drain elevations are specified as the respective tunnel elevations, and the conductance parameters are assigned to intervals, depending on the TBM type and the tunnel seepage condition. The Qomroud water conveyance tunnel, located in Lorestan province of Iran, is 36km in length. Since the Qomroud tunnel involved groundwater inrush during excavating, it is considered as a good case study to evaluate the presented method. The groundwater inflow to this tunnel during the TBM advance is simulated using the proposed method and the predicted rates are compared with observed rates. The results show that the presented method can satisfactorily predict the inflow rates as the TBM advances.
机译:对隧道的地下水流入的准确估计是隧道设计和施工中最具挑战性但必不可少的任务之一。大多数已经开发的数控或分析解决方案忽略了隧道渗流条件,材料特性和液压头在挖掘过程中沿着隧道路线的变化,导致对流入速率的不准确预测。引入了一种方法,其使用GMS软件的模型码来预测流入速率,因为隧道镗床(TBM)逐渐进展。在该方法中,隧道边界条件是使用漏极封装概念化和定义的,其通过将钻井过程除以基于隧道挖掘速率的一系列连续间隔来模拟。另外,将漏极升降为各自的隧道升降,并且指定参数分配为间隔,这取决于TBM类型和隧道渗漏条件。 Qomroud水运输隧道位于洛尔斯坦伊朗,长度为36公里。由于Qomroud隧道在挖掘过程中涉及地下水浪涌,因此被认为是评估所提出的方法的好案例研究。使用所提出的方法模拟在TBM进步期间对该隧道的地下水流入,并将预测的速率与观察到的速率进行比较。结果表明,随着TBM的进步,所提出的方法可以令人满意地预测流入速率。

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