Optimization of drilling and blasting operations in an open pit mine—the SOMAIR experience

Afeni, Thomas Busuyi

doi:10.1016/s1674-5264(09)60134-4

Cited by 21 publications

(14 citation statements)

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“…To date, the drilling and blasting method is the most commercial and efficient way to excavate the rock mass in the practical engineering, such as tunneling and mining [ 1 , 2 ]. Blasting can induce the dynamic tensile stress, which splits the rock mass and migrates fragments toward the free face.…”

Section: Introductionmentioning

confidence: 99%

Compression-Induced Tensile Mechanical Behaviors of the Crystalline Rock under Dynamic Loads

Zheng

Huang

et al. 2020

Materials

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Characterization of the tensile mechanical behaviors of rocks under dynamic loads is of great significance for the practical engineering. However, thus far, its micromechanics have rarely been studied. This paper micromechanically investigated the compression-induced tensile mechanical behaviors of the crystalline rock using the grain-based model (GBM) by universal distinct element code (UDEC). Results showed that the crystalline rock has the rate- and heterogeneity-dependency of tensile behaviors. Essentially, dynamic Brazilian tensile strength increased in a linear manner as the loading rate increased. With the size distribution and morphology of grain-scale heterogeneity weakened, it increased, and this trend was obviously enhanced as the loading rate increased. Additionally, the rate-dependent characteristic became strong with the grain heterogeneity weakened. The grain heterogeneity prominently affected the stress distribution inside the synthetic crystalline rock, especially in the mixed compression and tension zone. Due to heterogeneity, there were tensile stress concentrations (TSCs) in the sample which could favor microcracking and strength weakening of the sample. As the grain heterogeneity weakened or the loading rate increased, the magnitude of the TSC had a decreasing trend and there was a transition from the sharp TSC to the smooth tensile stress distribution zone. The progressive failure of the crystalline rock was notably influenced by the loading rate, which mainly represented the formation of the crushing zone adjacent to two loading points. Our results are meaningful for the practical engineering such as underground protection works from stress waves.

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Section: Introductionmentioning

confidence: 99%

Compression-Induced Tensile Mechanical Behaviors of the Crystalline Rock under Dynamic Loads

Zheng

Huang

et al. 2020

Materials

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“…A drilling operation is required where the overburden is hard. As a primary operation, drilling affects both the production and overall operating costs (Afeni 2009). The efficiency of the drilling operation depends primarily on energy consumption and on the drill bit life (Karpuz 2018) because a worn bit significantly decreases the rate of penetration (ROP).…”

Section: Introductionmentioning

confidence: 99%

Optimization of drill bit replacement time in open-cast coal mines

Uğurlu

Kumral

2019

Int J Coal Sci Technol

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To gain a competitive edge within the international and competitive setting of coal markets, coal producers must find new ways of reducing costs. Increasing bench drilling efficiency and performance in open-cast coal mines has the potential to generate savings. Specifically, monitoring, analyzing, and optimizing the drilling operation can reduce drilling costs. For example, determining the optimal drill bit replacement time will help to achieve the desirable penetration rate. This paper presents a life data analysis of drill bits to fit a statistical distribution using failure records. These results are then used to formulate a cost minimization problem to estimate the drill bit replacement time using the evolutionary algorithm. The effect of cost on the uncertainty associated with replacement time is assessed through Monte-Carlo simulation. The relationship between the total expected replacement cost and replacement time is also presented. A case study shows that the proposed approach can be used to assist with designing a drill bit replacement schedule and minimize costs in open-cast coal mines. Keywords Cost minimization Á Drilling operation Á Optimum replacement time Á Evolutionary algorithm Á Sensitivity analysis Á Monte Carlo simulation List of symbols a Scale parameter (Weibull distribution) b Shape parameter (Weibull distribution) C f Cost of failure replacement C p Cost of predicted replacement C t Total cost of expected replacement C tu Total cost of expected replacement per unit time EA Evolutionary algorithm MTTF Mean time to failure MWD Measurement while drilling N Natural numbers ROP Rate of penetration R tu Probability of a predicted replacement S p Mean of the unshaded area t e Expected length of a bit usage t f Failure time t p Predicted length of a bit usage

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“…Most of the models available for the selection of hard rock surface mining parameters dwell on the subprocesses of drilling, blasting, hauling and primary crushing separately and don't consider all alternative variants and the cumulative effect of all determinant variables on effectiveness [3][4][5][6][7][8][9][10][11][12][13]. Desired model could be developed as the regression model of overall cost per ton of rock mined in drilling, blasting, hauling and primary crushing fit on the rockmass and mining design variations of hard rock surface mining using the huge data generated by many of the hard rock surface mines operating in variable conditions of rockmass and mine design worldwide.…”

Section: Introductionmentioning

confidence: 99%

Theoretical Basis in Regression Model Based Selection of the Most Cost Effective Parameters of Hard Rock Surface Mining

Massawe¹,

Baruti²,

Gongo³

2011

ENG

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What determines selection of the most cost effective parameters of hard rock surface mining is consideration of all alternative variants of mine design and the conflicting effect of their parameters on cost. Consideration could be realized based on the mathematical model of the cumulative influence of rockmass and mine design variables on the overall cost per ton of the hard rock drilled, blasted, hauled and primary crushed. Available works on the topic mostly dwelt on four processes of hard rock surface mining separately. This paper dwells on the theoretical part of a research proposed to enhance effectiveness in the selection of the parameters of hard rock surface mining design based on the regression model of overall cost per tonne of the rock mined fit on the determinant variations of rockmass and mine design. The regression model could be developed based on the statistical data generated by many of the hard rock surface mines operating in variable conditions of rockmass and mine design worldwide. Also, a regression model based general algorithm has been formulated for the development of software and computer aided selection of the most cost effective parameters of hard rock surface mining.

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Optimization of drilling and blasting operations in an open pit mine—the SOMAIR experience

Cited by 21 publications

References 1 publication

Compression-Induced Tensile Mechanical Behaviors of the Crystalline Rock under Dynamic Loads

Compression-Induced Tensile Mechanical Behaviors of the Crystalline Rock under Dynamic Loads

Optimization of drill bit replacement time in open-cast coal mines

Theoretical Basis in Regression Model Based Selection of the Most Cost Effective Parameters of Hard Rock Surface Mining

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