Assessment of the Influence of Powder Factor on Loading Performance in Selected Open-Pit Granite Aggregate Quarries

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This study highlights the performance analysis of rock fragmentation on mine excavation process efficiency and powder factor, instantaneous dig factor and loading efficiency. The power regression analysis of the relationship between powder factor and loading efficiency, defines the highest loading efficiency at the optimal powder factor ranging from 0.48 to 0.52 kg/m3. Loading efficiency with powder factor 0.50 kg/m3 is 0.469 while loading efficiency with powder factor 0.30 kg/m3 is 0.253. However, when considering the powder factor of more than 0.80 kg/m3, the efficiency dropped to 0.217 due to the generation of excessive fines and the reduction of the bucket fill rates. The R² value of the regression model is 0.995, thus, confirming the high predictive ability of powder factor while measuring the loading efficiency. In comparison to the original parameters, the optimized powder factor selection reduced the cycle times by as much as 22.4% and increased fragmentation consistency, according to the study. This study potentially highlights the need for enhanced blast design, which optimises total excavation costs and maximises mine productivity.

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Engineering Headway (Volume 33)

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29-40

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February 2026

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© 2026 Trans Tech Publications Ltd. All Rights Reserved

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[1] J. Zhou, Y. Zhang, Y, Qiu, State-of-the-art review of machine learning and optimization algorithms in environmental effects of blasting. Artif. Intell. Rev., 57, (2024) 5-24.

DOI: 10.1007/s10462-023-10636-8

Google Scholar

[2] E. Bakhtavar, R. Sadiq, H. Hewage, Optimization of Blasting-Associated Costs in Surface Mines Using Risk-based Probabilistic Integer Programming and Firefly Algorithm. Nat Resour. Res. 30, (2021) 4789–4806.

DOI: 10.1007/s11053-021-09935-0

Google Scholar

[3] P.A. Adesida, Powder factor prediction in blasting operation using rock geo-mechanical properties and geometric parameters. Int J. Min and Geo-Eng, 56 (2022), 25-32.

Google Scholar

[4] B.O. Taiwo, A. Gebretsadik, H.H. Abbas, M. Khishe, Y. Fissha, E. Kahraman, A. Rabbani, A. A. Akinlabi, Explosive utilization efficiency enhancement: An application of machine learning for powder factor prediction using critical rock characteristics. Heliyon, 10 (2024) e33099

DOI: 10.1016/j.heliyon.2024.e33099

Google Scholar

[5] E. F. Salmi, E. J. Sellers, A review of the methods to incorporate the geological and geotechnical characteristics of rock masses in blastability assessments for selective blast design. Engineering Geology, 28 (2021) 105970

DOI: 10.1016/j.enggeo.2020.105970

Google Scholar

[6] A. Nikkhah, A. B. Vakylabad, A. Hassanzadeh, T. Niedoba, A. Surowiak, An Evaluation on the Impact of Ore Fragmented by Blasting on Mining Performance. Minerals, 12 (2022) 258.

DOI: 10.3390/min12020258

Google Scholar

[7] P. K. Singh, M. P. Roy, R. K. Paswan, M. Sarim, S. Kumar, R. R. Jha, Rock fragmentation control in opencast blasting, J. Rock Mech. & Geotech. Eng. 8 (2016) 225-237.

DOI: 10.1016/j.jrmge.2015.10.005

Google Scholar

[8] P. Couceiro, B. Santos, The Influence of Blasting Energy Factor on the Loading Performance. Int J. Eng. Res & Tech. 8 (2019) 731-734.

Google Scholar

[9] P. A. Adesida, Comparative Analysis of the Influence of Powder Factor and Energy Factor in Blast Design. ABUAD J. Eng. & Appl. Sci, 2 (2024) 33-39.

DOI: 10.53982/ajeas.2024.0202.06-j

Google Scholar

[10] X. Ding, X. Liu, Z. Ao, H. Qin, X. Li, K. Huang, S. Xiao, M. Wu, D. Zhang, C. Zhu, Research on blasting mechanism and blasting effect of aqueous media in open pit coal mines. Scientific Reports, 13 (2023) 19140.

DOI: 10.1038/s41598-023-46449-6

Google Scholar

[11] M. Babaeian, M. Ataei, F. Sereshki, F. Sotoudeh, S. Mohammadi, A new framework for evaluation of rock fragmentation in open pit mines, J. Rock Mech. Geotech. Eng. 11 (2019) 325-336.

DOI: 10.1016/j.jrmge.2018.11.006

Google Scholar

[12] A. Sharma, A. K. Mishra, B. S., Choudhary, R. Meena, Impact of blast design parameters on rock fragmentation in building stone quarries. Current Science, 116 (2019), 1861–1867.

DOI: 10.18520/cs/v116/i11/1861-1867

Google Scholar

[13] K.L. Salati, S. M. Adeyemo, Examining the Effect of Powder Factor Variability on Granite Productivity. Recent Adv in Mineral (2023). Information on.

DOI: 10.5772/intechopen.112440

Google Scholar

[14] V. Seervi, Critical Analysis of Powder Factor in Dragline Bench Blasting: A Case Study. J. Inst. Eng., 104 (2023), 821–830.

DOI: 10.1007/s40033-022-00416-z

Google Scholar

[15] G. Agyei, M. O. Nkrumah, A Review on the Prediction and Assessment of Powder Factor in Blast Fragmentation. Nig. J. Tech. 40 (2021) 275–283.

DOI: 10.4314/njt.v40i2.13

Google Scholar

[16] F. I. Conde, O. Sanoh, Analysis and Optimization of Blasting Practices at the Sangaredi Mine. J. Geosci & EnviroN. Prot. 10 (2022) 149-169.

DOI: 10.4236/gep.2022.109010

Google Scholar

[17] I. Shahrin, R. A. Abdullah, S. Jeon, B. Jeo, Numerical simulation of rock fragmentation by blasting using Discrete Element Method and Particle Blast Method. IOP Conference Series Materials Science and Engineering, 527 (2019) 012032

DOI: 10.1088/1757-899x/527/1/012032

Google Scholar

[18] T. Bamford, K. Esmaeili, A. P. Schoellig, A real-time analysis of post-blast rock fragmentation using UAV technology. Int. J. Min. Recl. Environ. 31 (2017) 439-456.

DOI: 10.1080/17480930.2017.1339170

Google Scholar

[19] J. A. Aladejana, A. O. Talabi, Assessment of Groundwater Quality in Abeokuta Southwestern, Nigeria. Inter. J. Eng. Sci., 2 (2013) 21- 31

Google Scholar

[20] A. O. Eludoyin, A. Olusola, O. A. Fashae, L. K. Jeje, A. Faniran, Geology and Landscapes of the Southwestern Nigeria. In: Faniran, A., Jeje, L.k., Fashae, O.A., Olusola, A.O. (eds) Landscapes and Landforms of Nigeria. World Geomorphological Landscapes. Springer, Cham. 2023.

DOI: 10.1007/978-3-031-17972-3_14

Google Scholar

[21] O. Okunlola, O. Ajibola, O. Olusegun, Rare Earth Element Geochemistry and Abundances in Syenites and Charnockitic Rocks of Selected Locations within Southwestern Nigeria. Materials and Geoenvironment. 69 (2022) 1-10.

DOI: 10.2478/rmzmag-2021-0018

Google Scholar

[22] F.Faramarzi, H.Mansouri, M.A. Ebrahimi-Farsangi, A Rock Engineering Systems-based Model to Predict Rock Fragmentation by Blasting. Inter. J. Rock Mech. & Min. Sci., 60 (2013) 82-94.

DOI: 10.1016/j.ijrmms.2012.12.045

Google Scholar

[23] P. A. Adesida, Analysis of the Effect of Rock Properties on Extraction-Haulage System Performance. Inter. J. Innovative Research and Devel 10 (2021) 166-171.

Google Scholar

[24] B.A. Kansake, V. Temeng, B. O. Afum, Comparative Analysis of Rock Fragmentation Models – A Case Study. In Proc: 4th UMaT Biennial International Mining and Mineral Conference (2016), Tarkwa, Ghana

Google Scholar