Optimization of the catch bench design using a genetic algorithm

被引:0
|
作者
Ruvin Wijesinghe Dakshith [1 ]
You Greg [1 ]
机构
[1] Mining Engineering Program,Faculty of Science and Technology,Federation University Australia
关键词
Catch bench width; Roc Fall; Genetic algorithm; Simulation-Optimization model;
D O I
暂无
中图分类号
TD792 [];
学科分类号
081903 ;
摘要
Rockfalls are one of the hazards that may be associated with open pit mining. The majority of rockfalls occur due to the existing conditions of slopes, such as back break, fractures and joints. Constructing a berm on the catch bench is a popular method for the mitigation of rockfall hazards in open pit mining.The width of the catch bench and the height of the berm play a major role in the open pit bench design.However, there is no systematic method currently available to optimize the size of these parameters. This study proposes a novel methodology which calculates the optimum catch bench width by integrating the rockfall simulation model and genetic algorithm into a Simulation-Optimization Model. The proposed methodology is useful when used to determine the minimum catch bench width, or the maximum overall slope angle, insuring that a sufficient factor of safety of the slope is included while maximizing the overall profitability of the open pit mine.
引用
收藏
页码:1011 / 1016
页数:6
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