Geometrical characteristics of rock fragments in the dynamics of bench blasting

Blasting of rock mass in mining involves mixing of minerals and barren rock. A zone of quantitative and qualitative mineral loss forms as a result. Aiming at delineating this zone, the article studies formation of a muck pile in bench blasting. Prediction of blasted rock disintegration in a muck pile is critical in extraction of structurally complex and hard ore bodies. It enables selection of an effective method of ore breaking at heterogeneous faces. For the development of an innovative approach to determination of blasted rock disintegration in muck piles, abundant data of high-speed photography of blasting operations in open pit mines are analyzed. The research objective is the muck pile patterns as function of the blast design parameters. The method is the graphical analysis of influence of a blasting pattern on mineral loss and dilution. The result is the science-based prediction of qualitative and quantitative mineral loss under different conditions of blasting. The key conclusion is that spatial distribution and sizes of blasted rock particles in mick pile is closely related with the spatial positions of the perimeter rows of blastholes relative to the muck pile. The joint use of the coordinate grids of blasted and to-be blasted blocks makes it possible to determine spatial patterns of different components of a blasted bench in a muck pile, and to determine their shapes and other geometrical characteristics. To this effect, the contours of the mentioned components are plotted on a selected scale on the coordinate grid of the to-be blasted block, and the coordinate grid of the blasted block helps delineate their deformed shapes. 

Keywords: muck pile, coordinate grids of blasted and to-be blasted blocks, geotechnical cha- racteristics of structurally complex blocks.
For citation:

Rakishev B. R., Rakisheva Z. B., Orynbay A. A., Baizhumin D. A., Turdaliyeva A. S. Geometrical characteristics of rock fragments in the dynamics of bench blasting. MIAB. Mining Inf. Anal. Bull. 2026;(7):90-108. [In Russ]. DOI: 10.25018/0236_1493_2026_7_0_90.

Acknowledgements:
Issue number: 7
Year: 2026
Page number: 90-108
ISBN: 0236-1493
UDK: 622.015
DOI: 10.25018/0236_1493_2026_7_0_90
Article receipt date: 18.02.2026
Date of review receipt: 18.03.2026
Date of the editorial board′s decision on the article′s publishing: 10.06.2026
About authors:

B.R. Rakishev1, Dr. Sci. (Eng.), Academician of the National Academy of Sciences of the Republic of Kazakhstan, Professor, e-mail: b.rakishev@satbayev.university, ORCID ID: 0000-0001-5445-070X, 
Z.B. Rakisheva, Cand. Sci. (Phys. Mathem.) (Ph.D. equivalent), Professor, Al-Farabi Kazakh National University, 050013, Almaty, Republic of Kazakhstan, e-mail: zaure.ra@gmail.com, ORCID ID: 0000-0003-2745-7775,
A.A. Orynbay, PhD, Associate Professor, Gumarbek Daukeyev Almaty University of Power Engineering and Telecommunications, 050013, Almaty, Republic of Kazakhstan, e-mail: a.orynbay@aues.kz, ORCID ID: 0000-0002-3720-7625,
D.A. Baizhumin1, PhD Student, e-mail: dbaizhumin@gmail.com, ORCID ID: 0009-0003-6276-118X,
A.S. Turdaliyeva1, PhD Student, e-mail: altynaiym.turdaliyeva@interrin.kz, ORCID ID: 0009-0001-2919-3518,
1 Satbayev University (K.I. Satpayev Kazakh National Research Technical University), 050013, Almaty, Republic of Kazakhstan.

 

For contacts:

A.A. Orynbay, e-mail: a.orynbay@aues.kz.

Bibliography:

1. Cheban A. Yu., Sekisov G. V. Complex-structured ore blocks and their classification. Transbaikal state university journal. 2020, vol. 26, no. 6, pp. 43—53. [In Russ]. DOI: 10.21209/2227-9245-2020-26-6-43-53.

2. Kushnarev P. I. Hidden losses and dilution. Gold and Technologies. 2017, no. 3(37), pp. 82—86. [In Russ].

3. Rakishev B. R. Technological resources for improving the quality and completeness of mineral raw material utilization. Proceedings of the National Academy of Sciences of the Republic of Kazakhstan. Series of Geology and Technical Sciences. 2017, vol. 2, no. 422, pp. 116—124. 

4. Eshun P. A., Dzigbordi K. A. Control of ore loss and dilution at anglogold ashanti, iduapriem mine using blast movement monitoring system. Ghana Mining Journal. 2016, vol. 16, no. 1. DOI: 10.4314/gmj.v16i1.6.

5. Magohe S. P., Shoo N., Mapogha E., Kinabo C., Chambulikazi C. Monitoring rock movement and controlling ore loss and dilution associated with blasting at Geita and North Mara Gold mines, Tanzania. Mining Technology. 2022, vol. 131, no. 2. DOI: 10.1080/25726668.2022.2046684.

6. Poupeau B., Hunt W., La Rosa D. Blast induced ore movement: the missing step in achieving realistic reconciliations. Proceedings of Mining Geology–2019 (11th International Mining Geology Conference). AusIMM, 2019.

7. Rakishev B. R., Rakisheva Z. B. Basic characteristics of the stages of rock massif destruction by explosive crushing. Proceedings of the 7th International Conference on Physical Problems of Rock Destruction. Beijing, China, 2011, p. 65—69.

8. Vasylchuk Y. V., Deutsch C. V. Approximate blast movement modelling for improved grade control. Mining Technology. 2019, vol. 128, no. 1. DOI: 10.1080/25726668.2019.1583843.

9. Hmoud S., Kumral M. Effect of blast movement uncertainty on dig-limits optimization in open-pit mines. Natural Resources Research. 2022, vol. 31, no. 2. DOI: 10.1007/s11053-021-09998-z.

10. Potakey N. E., Ortiz J. M. Review of blast movement measurements for grade control. Predictive Geometallurgy and Geostatistics Lab, Queen’s University. Annual Report, 2022.

11. Yu Z., Shi X.-Z., Zhou J., Chen X., Miao X.-H., Teng B., Ipangelwa T. Prediction of blast-induced rock movement during bench blasting: Use of gray wolf optimizer and support vector regression. Natural Resources Research. 2020, vol. 29, pp. 843—865. DOI: 10.1007/s11053-019-09593-3.

12. Yu Z., Shi X.-Z., Zhou J., Rao D. J., Chen X., Dong W. M., Miao X. H., Ipangelwa T. Feasibility of the indirect determination of blast-induced rock movement based on three new hybrid intelligent models. Engineering with Computers. 2021, vol. 37, pp. 991—1006. DOI: 10.1007/s00366-019-00868-0.

13. Yu Z., Shi X.-Z., Zhang Z.-X., Gou Y.-G., Miao X.-H., Kalipi I. Numerical investigation of blast-induced rock movement characteristics in open-pit bench blasting using bonded-particle method. Rock Mechanics and Rock Engineering. 2022, vol. 55, no. 6, pp. 3599—3619. DOI: 10.1007/s00603-022-02831-w.

14. Yan P., Zhou W., Lu W., Chen M., Zhou C. Simulation of bench blasting considering fragmentation size distribution. International Journal of Impact Engineering. 2016, vol. 90. DOI: 10.1016/j.ijimpeng.2015.11.015.

15. Zou Z., Yang J. Development of a segregation blasting method to reduce ore loss and dilution in open pit mines. Journal of Applied Science and Engineering. 2020, vol. 23, no. 3. DOI: 10.6180/jase.202009_23(3).0003.

16. Yu Z., Shi X.-Z., Zhang Z.-X., Gou Y.-G., Miao X.-H., Tang J.-Z. Using a dividing open-pit blast (DOPB) method to reduce ore loss and dilution caused by blast-induced rock movement. Acta Geotechnica. 2023. DOI: 10.1007/s11440-023-01826-3.

17. Serdaliyev Y., Iskakov Y., Alibayev A. Control of blast parameters for high-quality breaking of thin slope ore bodies. Mining of Mineral Deposits. 2024, vol. 18, no. 2, pp. 49—59. DOI: 10.33271/mining18.02.049.

18. Pyra J., Żołądek T. Application of UAVs to support blast design for flyrock mitigation: A case study from a basalt quarry. Applied Sciences. 2025, vol. 15, no. 15, article 8614. DOI: 10.3390/app15158614.

19. Segarra P., Sanchidrián J. A., Pötsch M., Iglesias L., Gómez S., Gaich A., Bernardini M. A method for reconstruction of size distributions from 3D drone image analysis: A case study. Rock Mechanics and Rock Engineering. 2024, vol. 57, pp. 4033—4050. DOI: 10.1007/s00603-024-03765-1.

20. Toriya H., Tungol Z. P. L., Ikeda H., Owada N., Jang H. D., Adachi T., Kitahara I., Kawamura Y. Fragmentation size distribution measurement by GNSS-aided photogrammetry at real mine site. Mining (MDPI). 2022, vol. 2, no. 3. DOI: 10.3390/mining2030023.

21. Jin C., Liang J., Fan C., Chen L., Wang Q., Lu Y., Wang K. Study on segmentation of blasting fragment images from open-pit mine based on U-CARFnet. PLOS One. 2023, vol. 18, no. 9, article e0291115. DOI: 10.1371/journal.pone.0291115.

22. Vu T., Bao T. D., Hoang Q. V., Drebenstedt C., Hoa P. V., Thang H. H. Measuring blast fragmentation at Nui Phao open-pit mine, Vietnam using the Mask R-CNN deep learning model. Mining Technology: Transactions of the Institutions of Mining and Metallurgy. 2021. DOI: 10.1080/25726668.2021.1944458.

23. Tang Y., Wang Y., Si G. Vision-based size distribution analysis of rock fragments using multi-modal deep learning and interactive annotation. Automation in Construction. 2024, vol. 159, article 105276. DOI: 10.1016/j.autcon.2024.105276.

24. Nowak-Szpak A., Wesoły M., Bajcar A. Comparison of methods for calculating fragmentation of blast muck piles in quarries. Mining Science. 2024, vol. 31. DOI: 10.37190/msc243108146.

25. Zou Z., Yang J. Modelling blast movement and muckpile formation with the position-based dynamics method. International Journal of Mining, Reclamation and Environment. 2021, vol. 35, no. 4, pp. 1—12. DOI: 10.1080/17480930.2020.1835210.

26. Gao W., Zhang J., Li C., Cheng L., Liu P. Study on muck pile shape of open-pit bench blasting based on PFC. Shock and Vibration. 2023, article 2859668. DOI: 10.1155/2023/2859668.

27. Câmara T. R., Leal R. S., Peroni R. de L., Capponi L. N. Controlling operational dilution in open-pit mining. Mining Technology. 2018. DOI: 10.1080/25726668.2018.1470275.

28. Kinyua E. M., Zhang J., Kasomo R. M., Mauti D., Mwangangi J. A review of the influence of blast fragmentation on downstream processing of metal ores. Minerals Engineering. 2022, vol. 186, article 107743. DOI: 10.1016/j.mineng.2022.107743.

29. Yakovlev V. L., Yakovlev V. A. Formation of open-pit transport systems with adaptation to changing mining conditions of deep-seated complex-structured deposits. Minerals and Mining Engineering. 2018, no. 6, pp. 118—126. [In Russ].

30. Montiel L., Dimitrakopoulos R., Kawahata K. Globally optimising open-pit and underground mining operations under geological uncertainty. Mining Technology. 2016, vol. 125, no. 1, pp. 2—14.

31. Rakishev B., Rakisheva Z., Auezova A., Orynbay A. Automated determination of rock crushing zones in the collapse. Mining of Mineral Deposits. 2022, vol. 16, no. 3, pp. 109—114. DOI: 10.33271/mining16.03.109.

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