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Optimization of the catch bench design using a genetic algorithm

Optimization of the catch bench design using a genetic algorithm

作     者:Ruvin Wijesinghe Dakshith You Greg Ruvin Wijesinghe Dakshith;You Greg

作者机构:Mining Engineering Program Faculty of Science and Technology Federation University Australia Ballarat 3350 Australia 

出 版 物:《International Journal of Mining Science and Technology》 (矿业科学技术学报(英文版))

年 卷 期:2016年第26卷第6期

页      码:1011-1016页

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 *** width of the catch bench and the height of the berm play a major role in the open pit bench ***, 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.

主 题 词:Catch bench width RocFall Genetic algorithm Simulation Optimization model 

学科分类:0819[工学-海洋工程类] 081903[081903] 08[工学] 

核心收录:

D O I:10.1016/j.ijmst.2016.09.008

馆 藏 号:203208648...

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