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A Rock Mass Rating system for predicting TBM utilization

机译:预测TBM利用率的岩体评级系统

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摘要

Prediction of utilization based on rock mass properties is critical for any mechanized tunnelingrnproject, since the utilization have an influence on duration and costs of project. Using some case studies includingrnQueens, Milyang, Manapouri, Karaj, Varzo, Maen, Pieve mechanized tunneling project around the world, thernattempt is made to estimate utilization via Rock Mass Rating (RMR) System herein. It is concluded that thernmachine utilization has some reasonable correlations with RMR; however, this relationship is depend on not onlyrnrock mass properties but also machine specifications. In other words, the utilization may change with both rockrnmass conditions and utilized machine type. Due to that rock properties and other related downtimes should bernexamined together to obtain the reliable equations for predicting the utilization. Further, developed relationshipsrnmay be used for similar rock type to estimate utilization from RMR.
机译:对于任何机械化的隧道工程,基于岩体性质的利用率预测至关重要,因为利用率会影响工期和成本。使用一些案例研究,包括rnQueens,Milyang,Manapouri,Karaj,Varzo,Maen,Pieve在世界范围内进行的机械化隧道工程,通过本文的岩体质量评估(RMR)系统进行了温度评估以估算利用率。结论:机器利用率与RMR有一定的合理关系。但是,这种关系不仅取决于岩体的性质,还取决于机器的规格。换句话说,利用率可能随岩体条件和所利用的机器类型而变化。因此,应该一起检查岩石的性质和其他相关的停机时间,以获得可靠的方程式来预测利用率。此外,可以将已开发的关系用于相似的岩石类型,以估计RMR的利用率。

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  • 会议地点 Wroclaw(PL)
  • 作者单位

    Pamukkale University, Department of Geological Engineering, Denizli, Turkey;

    Parsons Brinckerhoff, Inc., NewYork City, NY, USA;

    Faculty of Mining, Petroleum and Geophysics, Shahrood University of Technology, Shahrood, Iran;

    Faculty of Mining, Petroleum and Geophysics, Shahrood University of Technology, Shahrood, Iran;

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  • 正文语种 eng
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