UTILIZATION OF STATISTICAL ANALYSIS TO IDENTIFY INFLUENTIAL SLOPE PARAMETERS ASSOCIATED WITH ROCKFALL AT OPEN PIT MINES.

Josef Bourgeois, Sean Warren, Jorge Armstrong
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Abstract

The application of statistical analysis software programs has proven useful for the investigation of rockfall runout distance along a designed slope. Rockfall modeling programs are continually being upgraded with more sophisticated analysis tools, such as the use of the rigid body versus lump mass models. Engineers at mine sites utilizing the software may have varied experience related to these models, their associated input parameters, and how to interpret the generated results. To address this concern, researchers at the Spokane Mining Research Division (SMRD) of the U.S. National Institute for Occupational Safety and Health (NIOSH) investigated the influence of slope height, slope angle, slope material, and rock size for both rigid body and lump mass models in a 2-D statistical analysis program. Based on a literature search and industry input, specific ranges common to that of an open pit mining environment were chosen for each of the input parameters to determine 90% rock runout distance as well as their sensitivity to change. Data collected from this numerical analysis and simulation will be compared to empirical rockfall data gathered through the duration of the Highwall Safety project conducted by NIOSH from 2022-2026.

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利用统计分析确定与露天矿落石有关的有影响的边坡参数。
事实证明,统计分析软件程序的应用有助于调查设计斜坡的落石跳动距离。落石模型程序不断升级,配备了更复杂的分析工具,例如使用刚体与块体质量模型。矿山现场使用该软件的工程师可能对这些模型、相关输入参数以及如何解释生成的结果有着不同的经验。为了解决这个问题,美国国家职业安全与健康研究所(NIOSH)斯波坎矿业研究部(SMRD)的研究人员在二维统计分析程序中调查了刚体和块体模型对边坡高度、边坡角度、边坡材料和岩石大小的影响。根据文献检索和行业意见,为每个输入参数选择了露天采矿环境中常见的特定范围,以确定 90% 的岩石冲出距离及其对变化的敏感性。从数值分析和模拟中收集的数据将与美国国家职业安全与健康管理局(NIOSH)在 2022-2026 年开展的高墙安全项目期间收集的经验落石数据进行比较。
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