Skip to main content
Log in

A New Approach to Represent Impact of Discontinuity Spacing and Rock Mass Description on the Median Fragment Size of Blasted Rocks Using Image Analysis of Rock Mass

  • Original Paper
  • Published:
Rock Mechanics and Rock Engineering Aims and scope Submit manuscript

Abstract

Several in-situ rock mass properties and blasthole parameters can affect the rock fragmentation. Because of the complexity of the variables affecting the fragmentation results of blasted rocks, to predict a proper value of the median fragment size has long been a difficult task. The blastability index (BI) represents the effect of five parameters of rock mass description (RMD), joint plane spacing (JPS), joint plane orientation, specific gravity and uniaxial compressive strength on the rock fragmentation. The median discontinuity spacing significantly varies with varying the scanline direction and an acceptable value of the median discontinuity spacing will not be expected in practice. The JPS rating also has a constant value of 20 for a wide range of joint spacing values between 0.1 and 1 m, whereas joint spacing can be in this range for most cases. A new method using image analysis of the in-situ rock mass was applied to represent JPS and RMD (belonging to one of the cases: friable, blocky and massive) as an alternative solution. The images contain the details of all individual discontinuities and interlocked in-situ small and large rock blocks. BI, rock strength factor, blasthole parameters, powder factor, fragment size distribution of blasted rock and in-situ block size distribution using image analysis technique were assessed in 15 zones of Sungun open pit copper mine, Angouran lead and zinc open pit mine, Bonab silica mine, Soufian limestone mine and Rashakan limestone mine. The results for rock mass properties and blasthole patterns cover a wide range using different mines. The fragment size distribution was assessed by Split Desktop program with proper delineating images using the Pixler software and blasting was carried out with electric delay detonators. The relations between fragment size and parameters such as in-situ block size (F50), σc, rating of joint plane orientation, powder factor (q), ϕh, Q and Lc were analyzed. The relations with high correlations were achieved by applying the new approach for the defined conditions. Not only the problem of assessing discontinuity spacing has been improved using this method but also the lower number of parameters that properly represent the factors affecting the rock fragmentation have been used. The results were also analyzed by the Sanchidrián and Ouchterlony model and modified Kuz–Ram models. The fragment size obtained by the new method in this study, Sanchidrián and Ouchterlony model and extended modified Kuz–Ram model by Cunningham (in: Proceedings of 3rd world conference on explosives and blasting, Brighton, 2005) after using correction factor [c(A)] significantly better fitted to the results than the modified Kuz–Ram models by Cunningham (in: Fourney, Dick (eds) Proceedings of 2nd international symposium on rock fragmentation by blasting, Keystone, 1987) and Gheibie et al. (Int J Rock Mech Min 46(6):967–973, 2009).

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8
Fig. 9
Fig. 10
Fig. 11
Fig. 12
Fig. 13
Fig. 14
Fig. 15
Fig. 16
Fig. 17
Fig. 18

Similar content being viewed by others

Abbreviations

ϕ h :

Blasthole diameter in cm

Q :

Explosive weight per blasthole in m

S :

Spacing in m

H :

Blasthole length in m

L c :

(S × H)0.5 In m

RMD:

Rock mass description

JPS:

Joint plane spacing in cm

JPO:

Joint plane orientation

SGI:

Specific gravity influence

σ c :

Uniaxial compressive strength in MPa

H m :

Mohs hardness

BI:

Blastability index

JPA:

Joint plane angle

JF:

Joint factor (JPS + JPA)

HF:

Hardness factor (σci/5)

A :

Rock strength factor

X 50 :

Median fragment size in cm

F 50 :

Median in-situ block size in cm

q :

Powder factor in kg/m3

V :

Rock volume broken per blasthole in m3

Q e :

Explosive charge per hole, which is equivalent in in energy to TNT in kg.

S ANFO :

Relative weight strength to ANFO

P x :

The proportion of material passing the screen

P(%):

Percentage passing

X :

The screen size in cm

n :

The uniformity index

Hs:

Schmidt hammer rebound

X GMM :

Grand median measured discontinuity spacing for artificial discontinuity models in cm

X BS :

Block size of artificial discontinuity models in cm

V b :

Block volume of rock mass in m3

B :

Burden in m

U :

Subdrill in m

α :

Hole angle to vertical direction in degree

K :

Bench height in m

S t :

Stemming in m

L e :

Charge length in m

X P :

Fragment size for a percentage value P in cm

\(\overline{\sigma }\) :

The stored elastic energy at compressive failure

E :

Modulus of elasticity in MPa

e :

Specific explosive energy in MJ/kg

k 2 :

Represents the bench shape factor

θ 1 :

The inclination blasthole angle to the vertical in degree

k :

A coefficient that is determined by fitting function to the experimental data.

h :

A constant power that is determined by fitting function to the experimental data.

λ :

A constant power that is determined by fitting function to the experimental data.

κ :

A constant power that is determined by fitting function to the experimental data.

J F :

Joint correction factor

s j :

Median discontinuity spacing in m

L j :

A characteristic length, capped by a limiting value as for large joint spacing in m

a s :

A coefficient for influence of discontinuity spacing and is determined by fitting function to the experimental data.

j o :

Joints orientation index

a o :

A coefficient for influence of joints orientation index and is determined by fitting function to the experimental data.

C P :

P-wave velocity in m/ms

Δt :

The in-row delay in ms

Π t :

Delay factor

δ 1 :

A constant that is determined by the best fit to the experimental data.

δ 2 :

A constant that is determined by the best fit to the experimental data.

δ 3 :

A constant that is determined by the best fit to the experimental data

References

  • Aydin A (2009) ISRM Suggested method for determination of the Schmidt hammer rebound hardness: revised version. Int J Rock Mech Min Sci 46:627–634

    Article  Google Scholar 

  • Azadmehr A, Jalali SME, Pourrahimian Y (2019) An application of rock engineering system for assessment of the rock mass fragmentation: a hybrid approach and case study. Rock Mech Rock Eng 52:4403–4419. https://doi.org/10.1007/s00603-019-01848-y

    Article  Google Scholar 

  • Brotons V, Tomás R, Ivorra S, Grediaga A, Martínez-Martínez J, Benavente D, Gómez-Heras M (2016) Improved correlation between the static and dynamic elastic modulus of different types of rocks. Mater Struct 49:3021–3037. https://doi.org/10.1617/s11527-015-0702-7

    Article  Google Scholar 

  • Buyer AA, Schubert W (2017) Calculation of the spacing of discontinuities from 3D point clouds. Procedia Eng 191:270–278. https://doi.org/10.1016/j.proeng.2017.05.181

    Article  Google Scholar 

  • Cacciari PP, Futai MM (2016) Mapping and characterization of rock discontinuities in a tunnel using 3D terrestrial laser scanning. Bull Eng Geol Environ. https://doi.org/10.1007/s10064-015-0748-3

    Article  Google Scholar 

  • Chung SH, Katsabanis PD (2000) Fragmentation prediction using improved engineering formula. Int J Blast Fragment (Fragblast) 4:198–207

    Google Scholar 

  • Cunningham CVB (1983) The Kuz–Ram model for prediction of fragmentation from blasting. In Holmberg R, Rustan A (eds) Proceedings of 1st international symposium on rock fragmentation by blasting, Lulea, Sweden, 22–26 August 1983. Lulea° Tekniska Universitet, Lulea, pp 439–453

  • Cunningham CVB (1987) Fragmentation estimations and the Kuz–Ram model—four years on. In: Fourney WL, Dick RD (eds) Proceedings of 2nd international symposium on rock fragmentation by blasting, Keystone, CO, 23–26 August 1987. Society of Experimental Mechanics, Bethel, pp 475–487

  • Cunningham CVB (2005) The Kuz–Ram fragmentation model-20 years on. In: Proceedings of 3rd world conference on explosives and blasting, Brighton, UK, 13–16 September 2005, pp 201–210

  • Day PR, Webster WK (1981) Controlled blasting to minimize overbreak with big boreholes underground, CIL Inc. In: CIMM annual meeting, Calgary, Alberta

  • Dhekne PY, Pradhan M, Jade RK, Mishra R (2017) Boulder prediction in rock blasting using artificial neural network. ARPN J Eng Appl Sci 12(1):47–61

    Google Scholar 

  • Deere DU, Miller RP (1966) Engineering classification and index properties of rock. Technical Report No. AFNL-TR-65–116. Air Force Weapons Laboratory, Albuquerque

  • Faramarzi F, Mansouri H, Ebrahimi Farsangi MA (2013) A Rock Engineering systems based model to predict rock fragmentation by blasting. Int J Rock Mech Min Sci 60:82–94

    Article  Google Scholar 

  • Fréchet M (1927) Sur la loi de probabilité de l’écart maximum. Ann Soc Polon Math 6:93

    Google Scholar 

  • Gheibie S, Aghababaei H, Hoseinie SH, Pourrahimian Y (2009) Modified Kuz–Ram fragmentation model and its use at the Sungun Copper Mine. Int J Rock Mech Min 46(6):967–973

    Article  Google Scholar 

  • Gustafsson R (1973) Swedish blasting technique. Published by SPI, Gothenburg, pp 61–62

    Google Scholar 

  • Haneberg WC (2008) Using close range terrestrial digital photogrammetry for 3-D rock slope modeling and discontinuity mapping in the United States. Bull Eng Geol Environ 67:457–469. https://doi.org/10.1007/s10064-008-0157-y

    Article  Google Scholar 

  • Hoek E (2006) Practical rock engineering, p 237

  • Holmberg R, Persson PA (1978) The Swedish approach to contour blasting. In: Proceedings of the 4th conference on explosives and blasting technique, pp 113–127

  • Hudaverdi T, Kulatilake P, Kuzu C (2011) Prediction of blast fragmentation using multivariate analysis procedures. Int J Numer Anal Meth Geomech 35:1318–1333

    Article  Google Scholar 

  • Hudson JA, Harrison JP (2002) Engineering rock mechanics, part 1: an introduction to the principles. Pergamon Press, Oxford, p 458

    Google Scholar 

  • Hudson JA, Priest SD (1983) Discontinuity frequency in rock masses. Int J Rock Mech Min Sci Geomech Abstr 25(1):3–13

    Google Scholar 

  • Inanloo Arabi Shad H, Sereshki F, Ataei A, Karamoozian M (2017) Investigation of rock blast fragmentation based on specific explosive energy and in-situ block size. Int J Min Geo-Eng 52(1):1–6

    Google Scholar 

  • ISRM (1978a) Suggested methods for determining hardness and abrasiveness of rocks. In: Brown ET (ed) Rock characterization, testing and monitoring: ISRM suggested methods. Pergamon, Oxford, pp 95–96

    Google Scholar 

  • ISRM (1978b) Suggested methods for the quantitative description of discontinuities in rock masses. In: Brown ET (ed) Rock characterization, testing and monitoring: ISRM suggested methods. Pergamon, Oxford, pp 346–350

    Google Scholar 

  • Kidybinski A (1968) Rebound number and the quality of mine roof strata. Int J Rock Mech Min Sci 5(4):283–292

    Article  Google Scholar 

  • Jin ZF, Li WX, Jin C, James H, Cusatis G (2018) Anisotropic elastic, strength, and fracture properties of Marcellus shale. Int J Rock Mech Min Sci 109:124–137

    Article  Google Scholar 

  • Kemeny JM (1994) Practical technique for determining the size distribution of blasted benches waste dump and heap leach sites. Min Eng 46(11):1281–1284

    Google Scholar 

  • Kemeny J, Post R (2003) Estimating three dimensional rock discontinuity orientation from digital images of fracture traces. Comput Geosci 29(1):65–77

    Article  Google Scholar 

  • Kemeny J, Turner K, Norton B (2006) LIDAR for rock mass characterization: hardware, software, accuracy and best-practices. In: Proceedings of the workshop on laser and photogrammetric methods for rock face characterization, Golden, CO, pp 49–61

  • Kleine TH, Cameron AR (1996) Blast fragmentation measurement using Goldsize. In: Franklin JA, Katsabanis PD (eds) Measurement of blast fragmentation: proceedings of the fragblast-5 workshop on measurement of blast fragmentation, Montreal, Quebec, Canada, 23–24 August 1996. Balkema, Rotterdam, pp 83–89

  • Kulatilake PHSW, Qiong W, Hudaverd T, Kuzu C (2010) Median particle size prediction in rock blast fragmentation using neural networks. Eng Geol 114:298–311

    Article  Google Scholar 

  • Kuznetsov VM (1973) The median diameter of the fragments formed by blasting rock. Soviet Min Sci 9:144–148

    Article  Google Scholar 

  • Lato MJ, Voge M (2012) Automated mapping of rock discontinuities in 3D. Int J Rock Mech Min Sci Geomech Abstr 21(6):345–347. https://doi.org/10.1016/0148-9062(84)90367

    Article  Google Scholar 

  • Lato MJ, Diederichs MS, Hutchinson DJ (2010) Bias correction for view-limited lidar scanning of rock outcrops structural characterization. Rock Mech Rock Eng 43:615–628. https://doi.org/10.1007/s00603-010-0086-5

    Article  Google Scholar 

  • Lilly PA (1986) An empirical method of assessing rock mass blastability. In: Davidson JR (ed) Proceedings of large open pit mine conference, Newman, WA, October 1986. The Australasian Institute of Mining and Metallurgy, Parkville, pp 89–92

  • Lilly PA (1992) The use of blastability index in the design of blasts for open pit mines. In: Szwedzicki T, Baird GR, Little TN (eds) Proceedings of Western Australian conference on mining geomechanics, Kalgoorlie, West Australia, 8–9 June 1992 Western Australia School of Mines, Kalgoorlie, pp 421–426

  • Liu Z, Xu H, Zhao Z (2019a) DEM modeling of interaction between the propagating fracture and multiple pre-existing cemented discontinuities in shale. Rock Mech Rock Eng. https://doi.org/10.1007/s00603-018-1699-3

    Article  Google Scholar 

  • Liu L, Xiao J, Wang Y (2019b) Major orientation estimation-based rock surface extraction for 3D rock-mass point clouds. Remote Sens 11:635. https://doi.org/10.3390/ijgi8050213

    Article  Google Scholar 

  • Maerz NH, Palangio TC, Franklin JA (1996) WipFrag image based granulometry system. In: Proceedings of the FRAGBLAST 5 workshop on measurement of blast fragmentation, Montreal, Quebec, Canada, pp 91–99

  • Maerz NH, Palangio TC, Franklin JA (1996) The Wipfrag image based granulometry system. In: Franklin JA, Katsabanis PD (eds) Measurement of blast fragmentation: proceedings of the fragblast-5 workshop on measurement of blast fragmentation, Montreal, Quebec, Canada, 23–24 August 1996. Balkema, Rotterdam, pp 91–98

  • Mah J, Samson C, Mckinnon SD (2011) 3D laser imaging for joint orientation analysis. Int J Rock Mech Min Sci 48:932–941. https://doi.org/10.1016/j.ijrmms.2011.04.010

    Article  Google Scholar 

  • Mohebbi M, Yarahmadi Bafghi AR, Fatehi Marji M, Gholamnejad J (2017) Rock mass structural data analysis using image processing techniques (Case study: Choghart iron ore mine northern slopes). J Min Environ 8(1):61–74. https://doi.org/10.22044/jme.2016.629

    Article  Google Scholar 

  • Masoumi Nasab SM, Jalali SE, Noroozi M (2019) Performance comparison of commercial software tools to determine size distribution of fragmented rocks. J Mineral Res Eng 4(3):61–65. https://doi.org/10.30479/JMRE.2019.8892.1136

    Article  Google Scholar 

  • Moomivand HD (2019) An investigation into the effects of orientation and number of sets of rock discontinuities on the wave velocities under two conditions of before and after treatment by cement grouting. MSc Thesis, Department of Mining and Metallurgy Engineering, Amirkabir University of Technology (Tehran Polytechnic) in Persian

  • Moomivand H, Karimi M (2005) Investigation into the relationship between mechanical and physical properties of rock material under uniaxial stresses. In: 7th Tunnelling conference, Sharif University of Technology, Iran, pp 162–169 (in Persian)

  • Nikrouz R, Moomivand H, Azad R (2016) Effect of foliation orientation on the P- and S-wave velocity anisotropies and dynamic elastic constants of the quartz-micaschists metamorphic rocks, Angouran mine, Iran. Arab J Geosci 9:669. https://doi.org/10.1007/s12517-016-2699-9

    Article  Google Scholar 

  • Nourian A, Moomivand H (2020) Development of a new model to predict uniformity index of fragment size distribution based on the blasthole parameters and blastability index. J Min Sci 56(1):47–58. https://doi.org/10.1134/S1062739120016478

    Article  Google Scholar 

  • Olofsson SO (1990) Application explosive technology for construction and mining. Applex, Sweden

    Google Scholar 

  • Ouchterlony F, Sanchidrián JA (2018) The fragmentation-energy fan concept and the swebrec function in modeling drop weight testing. Rock Mech Rock Eng 51:3129–3156. https://doi.org/10.1007/s00603-018-1458-5

    Article  Google Scholar 

  • Ouchterlony F, Sanchidrián JA (2019) A review of development of better prediction equations for blast fragmentation. J Rock Mech Geotech Eng 11:1094–1109

    Article  Google Scholar 

  • Ouchterlony F, Sanchidrián JA, Moser P (2017) Percentile fragment size predictions for blasted rock and the fragmentation-energy fan. Rock Mech Rock Eng 50(4):751–779. https://doi.org/10.1007/s00603-016-1094-x

    Article  Google Scholar 

  • Poole R, Farmer I (1980) Consistency and repeatability of Schmidt hammer rebound data during field testing. Int J Rock Mech Min Sci 17(3):167–171

    Article  Google Scholar 

  • Riquelme AG, Abellan A, Thomas R, Jaboyedoff M (2014) A new approach for semi-automatic rock mass joints recognition from 3D point clouds. Comput Geosci 68:38–52

    Article  Google Scholar 

  • Rosin P, Rammler E (1933) The laws governing the fineness of powdered coal. J Inst Fuel 7:29–36

    Google Scholar 

  • Roy MP, Paswan RK, Sarim M, Kumar S, Jha R, Singh PK (2016) Rock fragmentation by blasting—a review. J Min Metals Fuels 64(9):424–431

    Google Scholar 

  • Saadatmand Hashemi A, Katsabanis P (2020) The effect of stress wave interaction and delay timing on blast-induced rock damage and fragmentation. Rock Mech Rock Eng. https://doi.org/10.1007/s00603-019-02043-9

    Article  Google Scholar 

  • Sanchidrián JA, Ouchterlony F (2017) A distribution-free description of fragmentation by blasting based on dimensional analysis. Rock Mech Rock Eng 50:781–806. https://doi.org/10.1007/s00603-016-1131-9

    Article  Google Scholar 

  • Saroglou H, Marinos P, Tsiambaos G (2004) The anisotropic nature of selected metamorphic rocks from Greece. J South Afr Inst Min Metall:17–22

  • Seadati S (2019) An investigation into the effect of scanline orientation on the discontinuity spacing. MSc Thesis, Mining Engineering Department, Urmia University

  • Segarra P, Sanchidrián JA, Navarro J, Castedo R (2018) The fragmentation energy-fan model in quarry blasts. Rock Mech Rock Eng. https://doi.org/10.1007/s00603-018-1470-9

    Article  Google Scholar 

  • Shi X, Huang D, Zhou J, Zhang S (2013) Fragmentation distribution due to blasting. J Inf Comput Sci 10(11):3511–3518

    Article  Google Scholar 

  • Slob S, Hack HR, Feng Q, Roshoff K, Tunner AK (2007) Fracture mapping using 3D laser scanning techniques. In: 11th congress of the international society for rock mechanics, Lisbon, pp 299–302

  • Split Engineering LLC Team (2015) Manual of split desktop image analysis software, Version 3.1. P.O. Box 41766, Tucson, AZ 85717–1766. http://www.spliteng.com

  • Strouth A, Eberhardt E, Hungr O (2006) The use of lidar to overcome rock slope hazard data collection challenges at Afternoon Creek

  • Sturzenegger M, Stead D (2009) Close-range terrestrial digital photogrammetry and terrestrial laser scanning for discontinuity characterization on rock cuts. Eng Geol 106:163–182. https://doi.org/10.1016/j.enggeo.2009.03.004

    Article  Google Scholar 

  • Sturzenegger M, Stead D, Elmo D (2011) Terrestrial remote sensingbased estimation of median trace length, trace intensity and block size/shape. Eng Geol 119:96–111. https://doi.org/10.1016/j.enggeo.2011.02.005

    Article  Google Scholar 

  • Sudhakar J, Adhikari GR, Gupta RN (2006) Comparison of fragmentation measurements by photographic and image analysis techniques. Rock Mech Rock Eng 39(2):159–168

    Article  Google Scholar 

  • Tonon F, Kottenstette JT (2007) Laser and photogrammetric methods for rock face characterization. In: Report on a workshop held June 17–18, 2006 in Golden, Colorado in conjunction with GoldenRocks 2006, The 41st U.S. Rock Mechanics Symposium, Colorado School of Mines, June 17–21

  • Tosun A (2018) A modified Wipfrag program for determining muckpile fragmentation. J South Afr Inst Min Metall 118:1113–1119. https://doi.org/10.17159/2411-9717/2018/v118n10a13

    Article  Google Scholar 

  • Tosun A, Konak G, Toprak T, Karakus D, Onur AH (2014) Development of the Kuz–Ram Model to blasting in a limestone quarry. Arch Min Sci 59(2):477–488

    Google Scholar 

  • Torres CA (2008) Geometric characterization of rock mass discontinuities using terrestrial laser scanner and ground penetrating radar. MSc Thesis, International Institute for Geo-information Science and Earth Observation

  • Wang X, Qin Y, Yin Z, Zou L, Shen X (2019) Historical shear deformation of rock fractures derived from digital outcrop models and its implications on the development of fracture systems. Int J Rock Mech Min Sci 114:122–130. https://doi.org/10.1016/j.ijrmms.2018.12.018

    Article  Google Scholar 

  • Wines DR, Lilly PA (2002) Measurement and analysis of rock mass discontinuity spacing and frequency in part of the Fimiston Open Pit operation in Kalogeria Western Australia: a case study. Int J Rock Mech Min Sci Geomech Abstr 39:589–602

    Article  Google Scholar 

Download references

Acknowledgements

The authors would like to thank Mr D. Taghizadeh, Mining Engineer of Rashakan Limestone Mine, Mr M. Baghernegad, Managing Director of Sungun Open Pit Copper Mine, Mr M. Shabany, Managing Director of Angouran Lead and Zinc Open Pit Mine and Mr Ahmadzadeh, Mining Engineer of Soufian Limestone Mine and Mr S. Habibi, Mining Engineer of Bonab silica mine, for their continuous support during carrying out the project.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Hassan Moomivand.

Ethics declarations

Conflict of interest

The authors declare that they have no conflict of interest.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Azizi, A., Moomivand, H. A New Approach to Represent Impact of Discontinuity Spacing and Rock Mass Description on the Median Fragment Size of Blasted Rocks Using Image Analysis of Rock Mass. Rock Mech Rock Eng 54, 2013–2038 (2021). https://doi.org/10.1007/s00603-020-02360-4

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s00603-020-02360-4

Keywords

Navigation