Forecasting open-pit slope runout distances

被引:0
作者
McQuillan, A. [1 ]
Bar, N. [2 ]
机构
[1] Rocsci, Sydney, Australia
[2] Gecko Geotech EEC, Kingstown, St Vincent
关键词
rock slope failure; open-pit; failed material runout distance; ANGLE; RISK;
D O I
10.17159/2411-9717/2674/2024
中图分类号
TF [冶金工业];
学科分类号
0806 ;
摘要
Geotechnical engineers are routinely tasked with advising suitable stand-off distances below high- risk sections of slopes in open-pit mines that are identified to have potential to deform or collapse. Accurate prediction of failed material runout can mean the difference between continuous safe mining and unwanted high-potential incidents that result in loss of production, equipment damage, injury, or loss of life. This paper updates previous empirical relationships presented by the authors for estimating the volume and runout distance of excavated slope failures, in an open-pit mine operation, using slope geometry as the primary predictor. Cases are sourced from varying slope geometries (fall heights up to 385 m, slope angles up to 80 degrees) and a range of commodities (iron ore, coal, nickel, gold, copper, boron, and limestone), excavated in sedimentary, banded-sedimentary, epithermal, and copper-porphyry deposits, across all six inhabited continents. Analysis of these cases identified positive correlations between slope height and runout distance, and slope height and failed material volume. In general, negative correlations were identified between Fahrb & ouml;schung angle and slope height, and Fahrb & ouml;schung angle and failed material volume; however, significant scatter is observed in these datasets. A definitive relationship could not be derived comparing Fahrb & ouml;schung angle with failed material runout. Slope angle was also found to be a poor indicator of runout. Of the parameters analysed, slope height (i.e., fall height) was found to be the simplest and best predictor of runout distance. This paper presents new charts for predicting failed material runout distance for rock slopes. Relationships are defined for structurally and rock-mass driven slope failure mechanisms at average, 75%, and 95% prediction intervals.
引用
收藏
页码:355 / 360
页数:6
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