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Innovative use of SMART cable bolt data through numerical back analysis for interpretation of post-failure rock mass properties

机译:通过数字反分析将SMART电缆螺栓数据创新地用于解释破坏后的岩体特性

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摘要

A significant component of underground mining costs stems from ground support in the form of rock bolts, mesh and screen, cable bolts, and shotcrete. Should any of this support approach or reach failure (stripped or broken cable bolts, severe bagging of screen, large numbers of broken rock bolts, etc.), the support needs to be rehabilitated. This rehabilitation is often much more expensive than the initial support installation, due not just to the cost of the support, but to loss of access, downtime of that area of the mine, potential for injuries, and possible lost mining revenues. Many mines use instrumentation in critical infrastructure, such as haulage drifts, crusher stations, intersections, etc., to monitor the displacement of the backs and/or walls, support loads, etc. Data is generally collected by hand from time to time and entered into a database, but is analyzed only if there is a problem (i.e. reactive engineering). Most mines today also utilize numerical modelling. These models, normally linear-elastic, are often not up to date, and modelling is often done only in reaction to a problem.
机译:地下采矿成本的很大一部分来自于以岩石锚杆,网格和筛网,电缆锚杆和喷浆混凝土形式的地面支撑。如果任何一种这种支撑方法或达到故障(电缆螺栓断裂或断裂,筛网严重装袋,大量岩石螺栓断裂等),都需要修复该支撑。这种修复通常比最初的支持安装要贵得多,这不仅是因为支持的成本,而且还因为失去了通行证,该矿区的停机时间,潜在的伤害以及可能的采矿收益损失。许多矿山在重要的基础设施中使用仪器,例如运输漂移,破碎站,十字路口等,以监控背板和/或墙体的位移,支撑载荷等。通常不时手动收集数据并将其输入进入数据库,但仅在出现问题时进行分析(即反应工程)。如今,大多数矿山还利用数值建模。这些通常是线性弹性的模型通常不是最新的,并且建模通常仅针对问题进行。

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    《CIM Magazine》 |2007年第2期|共1页
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  • 正文语种 eng
  • 中图分类 一般性问题;
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