- Title
- Mine-to-crusher policy : planning of mine blasting patterns for environmentally friendly and optimum fragmentation using Monte Carlo simulation-based multi-objective grey wolf optimization approach
- Creator
- Hosseini, Shahab; Mousavi, Amin; Monjezi, Masoud; Khandelwal, Manoj
- Date
- 2022
- Type
- Text; Journal article
- Identifier
- http://researchonline.federation.edu.au/vital/access/HandleResolver/1959.17/192461
- Identifier
- vital:17998
- Identifier
-
https://doi.org/10.1016/j.resourpol.2022.103087
- Identifier
- ISSN:0301-4207 (ISSN)
- Abstract
- The quality of rock fragmentation intensively affects downstream operations and operational costs. Besides, Environmental side effects are inevitable due to mine blasting despite improvements in blasting consequences such as fly-rock and back-break. This study concentrates on optimizing mine blasting patterns for environmentally friendly mineral production and minimizing operational costs by achieving environmental-oriented and economic objectives-based on a new framework using artificial intelligence techniques. A gene expression programming (GEP) based on Monte Carlo simulations (MCs) denoted that rock size distribution can be modeled and predicted without any uncertainty. Four main objectives involving operational costs, back-break, fly-rock, and toe volume were highlighted for minimizing in the optimization framework. The multi-objective model was implemented by applying it to a running mine and solved using the grey wolf optimization algorithm. As optimizing, 17 optimal blasting plans were achieved to implement in the different rock types. The multi-objective model was able to reduce mine to crusher cost as well as undesirable blasting consequences considerable favourite of mining managers. © 2022 Elsevier Ltd
- Publisher
- Elsevier Ltd
- Relation
- Resources Policy Vol. 79, no. (2022), p.
- Rights
- All metadata describing materials held in, or linked to, the repository is freely available under a CC0 licence
- Rights
- Copyright © 2022 Elsevier Ltd
- Subject
- 3801 Applied economics; 4802 Environmental and resources law; 4407 Policy and administration; Blasting; Fragmentation; Mining cost; Optimization; Simulation
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