Optimization of the catch bench design using a genetic algorithm

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• 作者：Dakshith Ruvin Wijesinghe ; Greg You ; ^{g.you@federation.edu.au" class="auth_mail" title="E-mail the corresponding author}
• 关键词：Catch bench width ; RocFall ; Genetic algorithm ; Simulation-Optimization model
• 刊名：International Journal of Mining Science and Technology
• 出版年：2016
• 出版时间：November 2016
• 年：2016
• 卷：26
• 期：6
• 页码：1011-1016
• 全文大小：2441 K

文摘

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.