Blasting pattern optimization in open-pit mines by using the genetic algorithm
الموضوعات :
Mehdi Azarafza
1
(Department of Computer Engineering, Faculty of Electrical & Computer Engineering, University of Tabriz, Tabriz, Iran)
Mohammad Reza Feizi-Derakhshi
2
(Department of Computer Engineering, Faculty of Electrical & Computer Engineering, University of Tabriz, Tabriz, Iran)
Ali Jeddi
3
(Department of Computer Engineering, Faculty of Electrical & Computer Engineering, University of Tabriz, Tabriz, Iran)
الکلمات المفتاحية: Genetic Algorithm, Optimization, Artificial Intelligence, Open-pit mining, Blasting pattern,
ملخص المقالة :
The blasting operations in open-pit mines are one of the most sensitive and complex mining methods which are defined under special circumstances and specific purposes. The suitable and optimal pattern selection where could be capable to covering the various environmental factors and affected on economic, technical, engineering and safety is the main goal of the operation. The genetic algorithm (GA) is the recommended method to utilizing the optimized pattern for the blasting pattern selection under the many effective parameters which is the variety of noteworthy detected on selected pattern from different mines. In this work the GA used to propose optimal blasting operation pattern by consideration of good coverage with field and geo-parametric in open-pit mine. For this purpose, the optimal design simulation of blasting pattern for open pit mines with one and two work-faces (for two standard 100×100 and 70×40m sides) by the Python programming language was conducted. Based on the results, this algorithm is quite successful in simulating the blasting pattern which it providing field decorations, the collapse (damage) rate and maximized exploitation (excavation).
