OPTIMUM PIT DESIGN IN OPEN PIT MINING WITH FLOATING CONE METHOD II AND EVALUATES IT WITH THE LERCHS-GROSSMANN ALGORITHM

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KHALOU KAKAEI R.

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Seminar Paper

Paper Information

Seminar: PROCEEDING OF IRANIAN MINING ENGINEERING CONFERENCE
Year:2005 | Issue:1

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Title

OPTIMUM PIT DESIGN IN OPEN PIT MINING WITH FLOATING CONE METHOD II AND EVALUATES IT WITH THE LERCHS-GROSSMANN ALGORITHM

Author(s)

KHALOU KAKAEI R.

Keywords

LERCHS & GROSSMANN ALGORITHM

GRAPH THEORY

FLOATING CONE METHOD

OPTIMUM PIT LIMIT

OPEN PIT MINING

MOVING CONE II

Abstract

Before starting the operation in OPEN PIT MINING, it is necessary to design the size and final shape of the pit in order to determine minable reserves and amount of waste to be removed. It is also needed to locate the waste dump, processing plant and other surface facilities. The pit limit, which is a function of numerous variables, may be re-evaluated many times during the life of the mine as design parameters change or more information is obtained during the operation. Therefore the use of a computer is necessary in order to design the pit as rapidly as possible. With the advent and wide spread use of computers a number of algorithms such as the floating or moving cone method, Lerchs & Grossmann algorithm based on GRAPH THEORY and .... have been developed to determine the optimum ultimate pit limits. Among these the Lerchs-Grossmann algorithm is the only method that always to yield the true optimum pit. The disadvantages of the algorithm are complexity of the method and require more computing time than other methods to reach a solution. The floating cone approach which does not yield a true optimum pit in some cases is the most popular and simplest method and requires significantly less computing time than any other method to reach a solution. The MOVING CONE II has been developed by Wright to overcome the shortfalls of the FLOATING CONE METHOD. This paper evaluates the MOVING CONE II for being as a true optimum open pit design method. For this purpose a C++ computer program has been developed based on this algorithm and the results are compared with the Lerchs and Grossmann method, which is the true optimum open pit design algorithm.

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APA: Copy

KHALOU KAKAEI, R.. (2005). OPTIMUM PIT DESIGN IN OPEN PIT MINING WITH FLOATING CONE METHOD II AND EVALUATES IT WITH THE LERCHS-GROSSMANN ALGORITHM. PROCEEDING OF IRANIAN MINING ENGINEERING CONFERENC. SID. https://sid.ir/paper/902652/en

Vancouver: Copy

KHALOU KAKAEI R.. OPTIMUM PIT DESIGN IN OPEN PIT MINING WITH FLOATING CONE METHOD II AND EVALUATES IT WITH THE LERCHS-GROSSMANN ALGORITHM. 2005. Available from: https://sid.ir/paper/902652/en

IEEE: Copy

R. KHALOU KAKAEI, “OPTIMUM PIT DESIGN IN OPEN PIT MINING WITH FLOATING CONE METHOD II AND EVALUATES IT WITH THE LERCHS-GROSSMANN ALGORITHM,” presented at the PROCEEDING OF IRANIAN MINING ENGINEERING CONFERENC. 2005, [Online]. Available: https://sid.ir/paper/902652/en

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