A MATHEMATICAL MODEL FOR SIMULTANEOUS OPTIMIZATION OF THE ULTIMATE PIT LIMIT AND BLOCK SEQUENCING IN OPEN PIT MINING
Author(s):
Article Type:
Research/Original Article (دارای رتبه معتبر)
Abstract:
Determination of the ultimate pit limit is one of the most important design in open pit mining. In the present methods, the final pit is determined based on the maximization of undiscounted profit. For this purpose, various mathematical, heuristic and meta- heuristic algorithms have been developed. Among these methods the most used one is the Lerchs-Grossman (LG) algorithm. It has been mentioned that it is better to design the ultimate pit based on the maximization of the net present value. In other words, the optimal arrangement of blocks and the final pit outline must be determined simultaneously. For that reason, in this paper the binary and nonlinear mathematical model of this problem and some suggestions for its linearization have been presented. In addition, in order to reduce the number of decision variables the concepts of the earliest and the latest possible time for extracting a block have been defined. In the following, with the use of downward cone and positional weight and the earliest extraction time of ore blocks, two heuristic algorithms have been developed for simultaneous determination of the final pit and blocks extraction sequence. At the end the results of these algorithms have been compared with the LG algorithm. The results show that these algorithms are capable to produce good result.
Keywords:
Language:
Persian
Published:
Journal of Mineral Resources Engineering, Volume:3 Issue: 4, 2019
Pages:
15 to 31
https://www.magiran.com/p1938740
سامانه نویسندگان
مقالات دیگری از این نویسنده (گان)
-
Flyrock risk assessment in blasting operations of road construction in hard rock using the FFTA-FDAHP method
Mohammadreza Davarzani, *, Farhang Sereshki
Iranian Journal of Earth Sciences, Apr 2025 -
Numerical Analysis of the Mechanized Mining Face Stability in Parvadeh No.1 Coal Mine, Tabas
Emad Ansari Ardehjani *, , Ramin Rafiee
Journal of Mining Engineering,