ISSN (0970-2083)

DRILLING AND BLASTING DESIGN BASED ON INVARIABLE MINING PARAMETERS

Matvey Matveevich Yakubovskiy and Alexander Andreevich Sankovsky*

Mining Department, Saint-Petersburg Mining University, Saint-Petersburg, 21 Line V.O., 2, Russia

*Corresponding Author:
Alexander Andreevich Sankovsky
E-mail:
asankovsky@gmail.com

Received date: 06 May, 2017; Accepted date: 08 May, 2017

Visit for more related articles at Journal of Industrial Pollution Control

Abstract

The article summarizes scientific and industrial research of blast fragmentation patterns in different mining and geological conditions. Particle size distribution in a bulk is one of the most important parameters for ore mining as it significantly affects further production process and profit return. Efforts to estimate effective blast design principles that could be applied in any geological and technical conditions are made. Three invariants are suggested as basis to determine drilling and blasting parameters for expected fragmentation results. Experimental blasts results are described and analysed to study the influence of charge parameters on particle size distribution. Obtained results could be used to design blasts on open pits to get pre-defined particle size distribution.

Keywords

Drilling and blasting parameters, Energy distribution, Particle size distribution, Blast fragmentation, Determination method

Introduction

Rock fragmentation quality differently affects the economy and performance of core mining enterprise processes. For example, expectancy decrease of characteristic rock fragment size affects escalation of drilling and blasting cost but leads to reduction of loading and hauling cost. Mining experience worldwide clearly shows that the maximum profit corresponds to exact blast fragmentation distribution (Sanchidrián, et al., 2014). This variation of blast fragmentation particle size impact on economic parameters actualizes the search of the optimum blast design to minimize overall rock production cost. So, a sustainable method of blast design parameters (e.g., burden, borehole diameter, etc.) estimation is needed. Blast fragmentation models are supposed to be based on invariants: uniform input data, some constants, laws or equations that do not change after rock properties, loading time or size scale.

Generation of The Data

Based The first fragmentation invariant can be stated. Total blast and mechanical fragmentation and the native rock block size have a lognormal distribution and its variance is a structural invariant.

Three general assumptions about rock fragmentation are limiting laws of linear size, surface or weight distribution:

- lognormal, in case the size of a piece does not affect its fragmenting probability (Kolmogorov model) (Gorokhovski and Saveliev, 2003);

- gamma distribution, in case fragmenting probability shows a positive growth proportionally to any positive degree of the piece size (Kolmogorov- Filippov model) (Ghorbel and Huillet, 2007);

- no limiting law when fragmenting increases proportionally to a negative degree of the piece size.

Overall distribution of particle size varying from tens and hundreds of meters to millimeters and less obviously can be approximated by all of the described models in some intervals. However, economic performance of mining is highly dependent on quantity of rocks of a size which has the most influence on loading and hauling productivity. In this regard, the methods of particle size estimation at mining enterprises are oriented on grades between 0.1 m to 2 m. And within this range the lognormal distribution (Kolmogorov model) could be used, as mechanical properties are unlikely to vary from one particle size to another.

Experimental results analysis (Lu, 1997) has shown that particle size distribution of destroyed rock mass can be approximated by a lognormal function even in a wide range of blasting design parameters in similar rock mass conditions and with a constant variance. Meantime, we have established (Vinogradov and Tumasheva, 1975) that even in considerably different mining conditions high fluctuation of particle size expectation (e.g. x50) is not followed by significant variance fluctuation. This is considered as a result of averaging of elemental destruction events (molecular bond breaking). Also, it explains almost identical results of rock mass centuries-long loading and blast fragmentation. Fig. 1 shows similar particle size distribution in conditions of “Kuznechnoe” open-pit mine.

icontrolpollution-distribution-Kuznechnoe

Fig. 1 Particle size distribution for Kuznechnoe granite deposit: 1, 2-drilling chips for two roller-bit drilling rigs (X-axis in mm); 3, 4, 5-fragmentation for three near-by ballast quarries, 6-natural block size.

Conformity of logarithmic variance (~1.0) between drilling chips, blasted rock and natural block size shows that statistical analysis characterizes stochastic process of elemental destruction events causing molecular bond breaking. The experimental data confirms that logarithmic variance of lognormal distribution function is a structural fragmentation invariant on the level of statistical ensemble of rock blocks and pieces.

According to the above, the problem of regular or more uniform fragmentation by change of rock mass blast destruction parameters is almost unsolvable. Short range and random nature of logarithmic variance change for rock mass fragmentation allows getting more or less fragmentation ratio in terms of mean fragment particle size. However, more fragmentation uniformity usually leads to decrease of coarse particles content but increase in fine parts which doesn't affect much loading and hauling.

Second fragmentation invariant is related to blast energy distribution and can be stated. Energy absorbing capacity of rock mass volume is a variable and it depends on correlation between specific energy input and burden.

Second fragmentation invariant is related to blast energy distribution and can be stated. Energy absorbing capacity of rock mass volume is a variable and it depends on correlation between specific energy input and burden.

The main objectives of the research are:

1. Study of quantity related association between rock mass blast fragmentation, movement, seismic vibrations and burden/charge weight proportion.

2. Study of energy input needed for fragmentation and mass movement depending on specific charge and drilling pattern.

The third fragmentation invariant considers charge diameter. Specific charge/rock contact surface (charge surface/weight ratio) determines quantity of energy spent on fragmentation or blast efficiency.

Results

The first bigger part of experiments was set at Olenegorsk quarry. Further experiments were conducted at Maleevsky mine and granite quarries near Saint-Petersburg. Each experiment was a single borehole blast varying depth, specific charge weight and charge surface. The parameters measured are the volume of blast crater, particle size distribution, average velocity of rock and rock mass acceleration. Working assumption to determine energy spent on fragmentation is probabilistic-statistic hypothesis of rock destruction (Shams, et al., 2015).

Experiments show the correlation between blast fragmentation efficiency (ŋ/σ) and equivalent burden equation using the fundamental equation of probabilistic-statistic hypothesis of rock destruction (Fig. 2):

icontrolpollution-fragmentation-efficiency

Fig. 2 Correlation between blast fragmentation efficiency and burden/charge weight ratio. 1. f = 14÷16; 2. f = 12÷14; 3. f = 10÷12; 4. f = 16÷18.

equation (1)

Where ŋ is blast potential energy, output spent on fragmentation (hereafter blasting efficiency or b.e.); σ is strength of the rock, kg/m2; q0 is specific energy cost, kgm/m3; W is burden, m; d is statistical expectation of the particle size, m.

The diagrams for all cases (different blast series at Olenegorsk and Maleevsky mines) on interval including min and max b.e. can be approximated:

equation (2)

Where ηi is b.e. for specific K value; η0 is the same but for K0.

The shown K value interval is the most suitable for mining blasts while K ≥ 1.1 describes confined blasts.

Therefore, knowing the values of ŋ0, W0, Q0, the equation allows determining b.e. for any blast for the similar rocks and varying burden and charge weight.

The influence of explosives characteristics on blast fragmentation efficiency can be estimated after (Golovko, et al., 1874). Published results of singlecharge blasts experiments allowed deducing the efficiency of blast fragmentation for different explosives. Comparing these with results obtained at Olenegorsk quarry for ANFO-type explosive showed perfect analogy.

For bulk blasts after United States Bureau of Mines (Siskind and Fumanti, 1974; Atchison and Tourney, 1959) the composition of distance between rows and holes in a row can be used as W2. This is characteristic value of an adequate accuracy for a mean burden of a blast hole pattern. Hence, the function (2) considering specific charge is:

equation (3)

where W0 is reference value of a blast hole pattern, m; q0 is reference specific energy cost, kgm/m3; Qi is new blast hole pattern value, m; qi is new specific energy cost, kgm/m3.

The analysis of bulk blasts using (3) showed that even drastic change of energy costs (up to two times) and hole pattern (up to 1.5 times) kept good convergence of measured and expected blast results. The important point of the analysis is the flexibility of the function introduced for certain conditions (Olenegorsk quarry, ferruginous quartzite) and used for different mining conditions show a good convergence with real blasts. This allows considering it as invariant to rock mechanical properties.

The charge diameter is one of the most important parameters of blasting which significantly influences both fragmentation quality and drilling-and-blasting performance indicators.

According to similarity principle, the charge diameter influences the quantitative characterization of particle size distribution in a bulk and is determined by equal stress-and-strain parameters of rock mass with equal specific fragmentation energy costs. However, a number of researches (Cirel, 2005; Isheyskiy and Yakubovskiy, 2016) show that for constant specific energy of explosive fragmentation ratio is a linear function of charge diameter. It demonstrates that similar distribution of explosion energy does not provide similar rock mass fragmentation, and the total specific blast-formed surface of particles is more when charge diameter is less. This explains the increase of explosives specific consumption with big diameters comparing with small diameters of blast holes.

The contradiction between the similarity principle, according to which distance of equal actions of tension waves is pro rata to the charge linear sizes, and improvement of fragmentation with reduction of a charge diameter can be explained as change of the energy quantity transferred by a charge to the rock mass.

To clear this statement a number of experimental blasts was taken under the following conditions:

– constant volume and mechanical properties of rock mass, charge potential energy and height, density and type of explosive, as well as charge volume by varying diameter and construction;

– constant volume and mechanical properties of rock mass, charge potential energy and height, density and type of explosive, as well as charge volume by varying diameter and height.

The first series of experiments were set in conditions of Olenegorsk quarry with single charge blasts. Blasting results for different depth of charge are described by volume of blasting wedge and particle size distribution. Also, kinematic parameters of rock mass movement in strain wave were measured in charge vicinity.

Charge diameter in different blasts was 76, 105 mm and 132 mm and charge height, energy and explosive type (ANFO) remained constant. Charge weight was 1.6 kg. Charge height is kept constant by disposition of a concrete kernel in the center.

Discussion

The main result of the experiment is correlation between rock mass velocity and acceleration and charge surface changes. These values were measured on same distances from the center of the charge, and normalized to real radius they describe the velocity and acceleration for solid charge. In this case increase of specific surface (and radius) of a charge with a constant weight and inert material in the center results in increase of blast seismic influence zone proportional to relative increase of specific charge volume.

Related b.e. values predicted using (2) for three sets of blasts (Fig. 3) are proportional to charge diameter to the power 4/3:

icontrolpollution-charge-weight-ratio

Fig. 3 Correlation between blast fragmentation efficiency and burden/charge weight ratio for charges of different diameter and equal potential energy and volume: 1-diameter 76 mm; 2-diameter 105 mm; 3-diameter 132 mm.

equation

However, experimental conditions are taken to determine not the charge diameter influence but charge surface/weight ratio. So (2) can be transformed to:

equation (4)

Where Di is new charge diameter, ρi is new charge density.

The experimental blast series results showed that blast fragmentation efficiency was determined by outer part of explosive charge and the increment of the charge surface.

The second experimental blasts series was set on a granite-gneiss quarry. The series included three sets of single-charge blasts of 1.2 kg of ANFO at 1.2 m depth and varying charge diameter of 64, 89 and 102 mm. Charge depth was equivalent to 1 m burden, which showed maximum values of rock mass velocity and acceleration. Kinematic parameters of mass movement were measured using piezoelectric accelerometers placed 1 meter from the charge, or for 64 mm charge, 30 radii length (30xR). Four blasts were made for each charge diameter. Mean rock mass velocity for each set is described at Fig. 4. Seismic effect of the explosion, i.e., particle velocity in seismo-blast wave is a function of contact surface of charge and rock. Blast fragmentation efficiency can be determined using (4).

icontrolpollution-velocity-specific-surface

Fig. 4 Correlation between rock mass velocity and specific surface of a charge.

Comparison between results for granite-gneiss and ferruginous quartzite demonstrates that dependences between rock mass movement parameters and specific charge surface are similar for charges of constant and varying height.

Conclusion

The analysis of bulk explosions results justifies the dependence (4) received experimentally for rocks with various mechanical properties.

The offered method of drilling and blasting parameters estimation on the set particle size distribution is based on above the specified invariants and represents the solution of the following equations system:

equation

Which is substitution of (3) to (1).

equation

Where di is particle size expectation, m; W0 is drill pattern parameter, m; g0 is specific consumption of explosives, kg/m3; ŋ0 is blast efficiency; D0 is used blast hole diameter, m; Wi, gi is new design parameters of drill pattern and explosives specific consumption for Di diameter; l is charge height, m; L is bench height, m.

References

Atchison, T.C. and Tourney, W.E. 1959. Comparative studies of explosives in granite. US Bureau of Mines, Report of investigation. 5509.

Cirel, S.V. 2005. Once again about influence of charge diameter on blast fragmentation particle size. Gornyj informacionno-analiticheskij bjulleten. 8:  136-144.

Ghorbel, M. and Huillet, T. 2007. Additional aspects of the non-conservative Kolmogorov-Filippov fragmentation model. Chaos, Solitons & Fractals. 33(5) : 1569-1583.

Golovko, G.S., Kozlovskij, B.V. and Mamashev, J.P. 1874. Research of aqueous explosives efficiency. Vzryvnoe delo. 74/31 : 57-63.

Gorokhovski, M.A. and Saveliev, V.L. 2003. Analyses of Kolmogorov’s model of breakup and its application into Lagrangian computation of liquid sprays under air-blast atomization. Physics of Fluids. 15(1) : 184-192.

Isheyskiy, V.A. and Yakubovskiy, M.M. 2016. Determination of strength reduction factor in blasted rocks versus the distance from the blast center. Gornyi Zhurnal. 12 : 55-59.

Lu, P. 1997. The characterisation and analysis of in-situ and blasted block-size distributions and the blastability of rock masses [thesis]. University of London, London.

Sanchidrián, J.A., Ouchterlony, F., Segarra, P. and Moser, P. 2014. Size distribution functions for rock fragments. Int. J. Rock Mech. Min. Sci. 71 : 381-394.

Shams, S., Monjezi, M. and Majd, V.J. 2015. Application of fuzzy inference system for prediction of rock fragmentation induced by blasting. Arab. J. Geosci. 8(12) : 10819-10832.

Siskind, D.E. and Fumanti, R.R. 1974. Blast produced fractures in Lithonia granite. US Bureau of Mines, Report of investigation. 7901.

Vinogradov, Y.I. and Tumasheva, T.A. 1975. Estimation of blast fragmentation. Novye issledovanija v gornom dele. 8 : 47-51.
izmir escort izmir escort bayan bursa escort bayanlar izmir escort bayanlar türk porno anal porno porno izle bartın escort burdur escort eskişehir escort izmir escort bayan bursa escort üvey anne porno istanbul escort istanbul escort bayan escort izmir

Copyright © 2019 Research and Reviews, All Rights Reserved