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An evaluation of the CUSUM and inverse velocity methods of failure prediction based on two open pit instabilities in the Pilbara

机译:基于Pilbara的两个敞开凹坑稳定性的故障预测CUSUM和逆速度方法的评估

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摘要

Predicting the expected time of slope collapse is an important aspect of managing open pit slope stability as it determines the appropriate actions to be taken. It is important to know when to evacuate but is also useful to know well in advance if a particular slope is creeping towards collapse or whether the deformations measured are unlikely to result in collapse. Having this type of information well in advance allows a mine to plan and execute remedial actions, such as schedule changes, slope angle changes and buttresses, that will mitigate economic as well as safety risks. While several methods of analysing slope monitoring data have been published to date, none have been able to establish themselves as the definite answer to any of these questions.This paper evaluates several previously published methods of predicting the time of slope collapse based on the monitoring data collected for slope instabilities that occurred at two of Rio Tinto's Pilbara Iron Ore operations in 2009 and 2010. The methods tested against the data are: CUSUM, inverse velocity and the slope of velocity and time multiplied velocity (SLO) method (Mufundirwa and Fujii, 2008). The paper concludes by evaluating the effectiveness of each of these methods to serve as early warning of impending failure and to predict the onset of collapse.Both instabilities were managed without injury to personnel and no loss of equipment.
机译:预测斜坡崩溃的预期时间是管理敞开的坑坡稳定性的一个重要方面,因为它决定了要采取的适当行动。如果特定的斜坡朝塌陷或者测量的变形是否不太可能导致崩溃,则知道何时撤离,也很有用,以提前知道,也很有用。预先拥有这种类型的信息允许矿井计划和执行补救措施,例如时间表变化,斜率角度变化和支撑,这将减轻经济以及安全风险。虽然迄今为止发布了几种分析坡度监测数据的方法,但没有能够将自己建立为这些问题的明确答案。这篇论文评估了几种先前公布的方法,以便根据监测数据预测斜坡崩溃时的时间2009年和2010年在里约热茶的两个皮尔巴拉铁矿石运营中发生的坡度稳定性。对数据进行测试的方法是:CUSUM,逆速度和速度和时间乘以速度(SLO)方法(MUFUNDIRWA和FUJII的斜率)( 2008)。本文通过评估这些方法的效果作为提前预警,并预测崩溃的发作。在没有人员伤害的情况下管理,没有伤害人员,并且不会损失设备,并没有损失设备,并没有损失设备,并且不会损失设备。

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