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An experimental and computational investigation of electrical resistivity imaging for prediction ahead of tunnel boring machines.

机译:电阻率成像的实验和计算研究,可用于隧道掘进机之前的预测。

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摘要

Tunnel boring machines (TBMs) are routinely used for the excavation of tunnels across a range of ground conditions, from hard rock to soft ground. In complex ground conditions and in urban environments, the TBM susceptible to damage due to uncertainty of what lies ahead of the tunnel face. The research presented here explores the application of electrical resistivity theory for use in the TBM tunneling environment to detect changing conditions ahead of the machine. Electrical resistivity offers a real-time and continuous imaging solution to increase the resolution of information along the tunnel alignment and may even unveil previously unknown geologic or man-made features ahead of the TBM. The studies presented herein, break down the tunneling environment and the electrical system to understand how its fundamental parameters can be isolated and tested, identifying how they influence the ability to predict changes ahead of the tunnel face.;A proof-of-concept, scaled experimental model was constructed in order assess the ability of the model to predict a metal pipe (or rod) ahead of face as the TBM excavates through a saturated sand. The model shows that a prediction of up to three tunnel diameters could be achieved, but the unique presence of the pipe (or rod) could not be concluded with certainty. Full scale finite element models were developed in order evaluate the various influences on the ability to detect changing conditions ahead of the face. Results show that TBM/tunnel geometry, TBM type, and electrode geometry can drastically influence prediction ahead of the face by tens of meters. In certain conditions (i.e., small TBM diameter, low cover depth, large material contrasts), changes can be detected over 100 meters in front of the TBM. Various electrode arrays were considered and show that in order to better detect more finite differences (e.g., boulder, lens, pipe), the use of individual cutting tools as electrodes is highly advantageous to increase spatial resolution and current density close to the cutterhead.
机译:隧道掘进机(TBM)通常用于从坚硬岩石到软土的各种地面条件下的隧道开挖。在复杂的地面条件和城市环境中,由于隧道面前方不确定性,TBM容易受到损坏。本文介绍的研究探索了电阻率理论在TBM隧道环境中的应用,以检测机器前方的变化情况。电阻率提供了实时连续成像解决方案,以提高沿隧道路线的信息分辨率,甚至可能在TBM之前揭示以前未知的地质或人为特征。本文介绍的研究对隧道环境和电气系统进行了分解,以了解如何隔离和测试其基本参数,从而确定它们如何影响预测隧道面之前的变化的能力。构造实验模型是为了评估该模型预测TBM在饱和砂土中开挖时在工作面前面的金属管(或棒)的能力。该模型显示可以预测多达三个隧道直径,但是无法确定管道(或杆)的独特存在。开发了全尺寸有限元模型,以评估对检测面部变化情况的能力的各种影响。结果表明,TBM /隧道几何形状,TBM类型和电极几何形状可以对数十米远的面部预测产生重大影响。在某些情况下(例如,TBM直径小,覆盖深度低,材料对比度大),可以在TBM前方100米处检测到变化。考虑了各种电极阵列,它们显示出为了更好地检测更多有限的差异(例如,巨石,透镜,管道),使用单独的切割工具作为电极对于提高空间分辨率和靠近刀头的电流密度非常有利。

著录项

  • 作者

    Schaeffer, Kevin P.;

  • 作者单位

    Colorado School of Mines.;

  • 授予单位 Colorado School of Mines.;
  • 学科 Civil engineering.;Geophysics.
  • 学位 Ph.D.
  • 年度 2016
  • 页码 215 p.
  • 总页数 215
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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