- Title
- Optimization of the catch bench design using a genetic algorithm
- Creator
- Wijesinghe, Dakshith; You, Greg
- Date
- 2016
- Type
- Text; Journal article
- Identifier
- http://researchonline.federation.edu.au/vital/access/HandleResolver/1959.17/104288
- Identifier
- vital:11053
- Identifier
-
https://doi.org/10.1016/j.ijmst.2016.09.008
- Identifier
- ISSN:20952686
- Abstract
- 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. © 2016
- Publisher
- China University of Mining and Technology
- Relation
- International Journal of Mining Science and Technology Vol. 26, no. 6 (2016), p. 1011-1016
- Rights
- Copyright © 2016 Published by Elsevier B.V. on behalf of China University of Mining & Technology.
- Rights
- This metadata is freely available under a CCO license
- Subject
- Catch bench width; Genetic algorithm; RocFall; Simulation-Optimization model
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