Document Type : Original Research Paper

Authors

1 GMMCO Technology Services Limited (GTS LTD)

2 Department of Mining Engineering, IIT(ISM) Dhanbad

3 Department of Mining Engineering, COE,OU, Hyderabad

4 Department of Geosciences, Geo-technology and Materials Engineering for Resources, Graduate School of International Resource Sciences, Akita University, Akita, Japan

5 Mining Engineering Department, Federal University of Technology Akure, Nigeria

10.22044/jme.2024.14555.2743

Abstract

To conducting efficient blasting operations, one needs to analyze the bench geology, structural and dimensional parameters to obtain the required optimum fragmentation with minimum amount of ground vibration. Joints presence causes difficulty during drilling and subsequent rock breakage mechanism. An idea on joints density will give an idea on deciding with column charging in-terms of decking-stemming and firing patterns. The goal of the research is to develop a hybrid algorithm model to predict joints width and joint angle. In order to achieve the task, advanced softwares, machine learning models and a field data tests were used in this study.

Keywords

Main Subjects

  • Jhanwar, J. C., Chakraborty, A. K., Anireddy, H. R., & Jethwa, J. L. (1999). Application of air decks in production blasting to improve fragmentation and economics of an open pit mine. Geotechnical and Geological Engineering, 17, 37–57. Kluwer Academic Publishers.
  • Atlas Powder Company. (1987). Explosives and Rock Blasting. Dallas, Texas: Maple Press.
  • Hustrulid, W. (1999). Blasting Principles for Open Pit Mining, General Design Concepts (Vol. 1). A.A. Balkema.
  • Hayat, M. B., Alagha, L., & Ali, D. (2019). Air decks in surface blasting operations. Journal of Mining Science, 55(6), 922–929.
  • Zhang, X. J., Wang, X. G., Yu, Y. L., & Yang, D. Q. (2018). The application of deck charge technology in Hua Neng open pit mine. E3S Web of Conferences.
  • Choudhary, B. S. (2013). Parameters and fragmentation in quarry blasts. International Journal of Research in Engineering and Technology, 2(9).
  • Balamadeswaran, P., Mishra, A. K., Sen, P., & Ramesh, S. (2018). Investigations into the influence of decking on rock fragmentation and ground vibrations by blasting in shallow benches of limestone quarries–A case study. Journal of Mines, Metals and Fuels, 66.
  • Park, D., & Jeon, S. (2010). Reduction of blast-induced vibration in the direction of tunneling using an air-deck at the bottom of a blasthole. International Journal of Rock Mechanics and Mining Sciences, 47(5), 752–761.
  • Chi, E. A., Liang, K. S., & Zhao, M. S. (2012). Experimental study on vibration reduction of the hole bottom air space charging. Journal of China Coal Society, 37(6), 944–950.
  • Abdall, M. (2014). The environmental impacts of air-deck blasting. University of New South Wales.
  • Chiappetta, F. (2004). New blasting technique to eliminate subgrade drilling, improve fragmentation, reduce explosive consumption, and lower ground vibrations. Journal of Explosives Engineering, 21(1), 10–12.
  • Roy, S., & Singh, R. S. (2011). Use of spacer aided initiation technique in solid blasting in Indian underground coal mines. Journal of Mining Technology, 120(1), 25–35.
  • Chandrahas, N. S., Choudhary, B. S., & Venkataramayya, M. S. (2023). Competitive algorithm to balance and predict blasting outcomes using measured field data sets. Computational Geosciences, 27, 1087–1110. https://doi.org/10.1007/s10596-023-10254-x.
  • Chandrahas, N. S., Choudhary, B. S., & Venkataramayya, M. S. (2023). Firing pattern and spacing burden ratio selection in jointed overburden benches using unmanned aerial vehicle and artificial intelligence-based tool. In Proceedings of the Second International Conference on Emerging Trends in Engineering (ICETE 2023). https://doi.org/10.2991/978-94-6463-252-1_134.
  • Ramesh, D., Chandrahas, N. S., Venkatramayya, M. S., Naresh, M., Talari, P., Prasad, D. U. V. D., Kumar, K. S., & Kumar, V. V. (2023). Effects of spacing-to-burden ratio and joint angle on rock fragmentation: An unmanned aerial vehicle and AI approach in overburden benches. Acadlore Transactions on Geosciences, 2(3), 155–166. https://doi.org/10.56578/atg020303.
  • Chandrahas, N. S., Fissha, Y., Choudhary, B. S., Taiwo, O. B., Venkataramayya, M. S., & Adachi, T. (2024). Experimental data-driven algorithm to predict muckpile characteristics in jointed overburden bench using unmanned aerial vehicle and AI tools. International Journal of Mining, Reclamation and Environment, 1–35. https://doi.org/10.1080/17480930.2024.2340876.
  • Li, E., Yang, F., Ren, M., Zhang, X., Zhou, J., & Khandelwal, M. (2021). Prediction of blasting mean fragment size using support vector regression combined with five optimization algorithms. Journal of Rock Mechanics and Geotechnical Engineering, 13(6), 1380–1397. https://doi.org/10.1016/j.jrmge.2021.07.013.
  • Li, E., Zhou, J., Biswas, R., Ahmed, Z. E. M. E., & Bui, X. N. (2024). Fragmentation by blasting size prediction using SVR-GOA and SVR-KHA techniques. In H. Nguyen, X. N. Bui, E. Topal, J. Zhou, Y. Choi, & W. Zhang (Eds.), Applications of Artificial Intelligence in Mining and Geotechnical Engineering (pp. 343–360). Elsevier. https://doi.org/10.1016/B978-0-443-18764-3.00014-X.
  • Naresh, M., Chandrahas, N. S., Kumar, P. G., & Murthy, V. M. S. R. (2024). Harmonizing blasting efficiency: A case study on evaluation and optimization of fragmentation size and ground vibration. Journal of the Institution of Engineers (India): Series D.
  • Kannavena, S. K., Pradeep, T., Chandrahas, N. S., et al. (2024). Prediction of back break using sensitivity analysis and artificial neural networks. Journal of the Institution of Engineers (India): Series D.
  • Sasaoka, T., Takahashi, Y., Hamanaka, A., Wahyudi, S., & Shimada, H. (2019). Effect of delay time and firing patterns on the size of fragmented rocks by bench blasting. In Proceedings of the International Symposium on Mine Planning and Equipment Selection (pp. 449-456). Springer Nature Switzerland.
  • Sri Chandrahas, N., Choudhary, B. S., Teja, M. V., Venkatramayya, M. S., & Krishna Prasad, N. S. R. (2022). XGBoost algorithm to simultaneous prediction of rock fragmentation and induced ground vibration using unique blast data. Applied Sciences, 12(5629).
  • Sri Chandrahas, N., Choudhary, B. S., Krishna Prasad, N. S. R., Venkatramayya, M., & Rao, K. K. (2021). An investigation into the effects of rockmass properties on mean fragmentation. Archives of Mining Science, 66(4), 561-578.
  • Choudhary, B. S. (2013). Parameters and fragmentation in quarry blasts. International Journal of Research in Engineering and Technology, 2(9).
  • Hayat, M. B., Alagha, L., & Ali, D. (2019). Air decks in surface blasting operations. Journal of Mining Science, 55(6), 922-929.