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Farklı Kaya Kütle Özelliklerine Sahip Sahalarda Patlatma Kaynaklı Kaya Fırlamasının Değerlendirilmesi

Year 2026, Volume: 28 Issue: 82, 8 - 14, 27.01.2026
https://doi.org/10.21205/deufmd.2026288202

Abstract

Patlatma işlemleri, hem madencilik hem de inşaat projelerinde temel kazı yöntemlerinden biridir. Açık ocak madenciliğinde genellikle inşaat projelerine kıyasla daha büyük miktarlarda patlayıcı kullanılır, ancak patlayıcı enerjisinin yalnızca %20-30'u kaya kırma işleminde etkili bir şekilde kullanılmaktadır. Enerjinin geri kalan kısmı ise yer sarsıntıları, hava şoku ve daha tehlikeli bir sonuç olan kaya (taş) fırlaması gibi istenmeyen çevresel etkilere yol açar. Kaya fırlaması, binalara zarar verebilecek ve hatta ölümcül kazalara neden olabilecek önemli bir güvenlik riski oluşturmaktadır. Bu çalışma, patlatma sırasında kaya fırlaması oluşumuna katkıda bulunan ana faktörleri incelemekte, özellikle yetersiz dilim kalınlığı seçimi ve eksik sıkılama gibi sorunlara odaklanmaktadır. Ayrıca, kaya kütlesi özellikleri ile kaya fırlaması arasındaki ilişkinin bu risk üzerindeki etkisini değerlendirmektedir. Çeşitli patlatma tasarımları ve jeolojik koşullar incelenerek, kaya kütle özelliklerinin anlaşılmasının ve dikkatli planlanmış patlatma parametrelerinin kaya fırlama riskini en aza indirmedeki önemi vurgulanmaktadır.

References

  • Raina AK, Murthy VMSR, Soni AK. Flyrock in surface mine blasting: understanding the basics to develop a predictive regime. Curr Sci 2015;108(4):660-65.
  • Mishra AK, Mallick DK. Analysis of blasting related accidents with emphasis on flyrock and its mitigation in surface mines. In: Singh PK, Sinha A, editors. Rock Fragmentation by Blasting, London: Taylor and Francis; 2013, p. 555–61.
  • Verakis HC, Lobb TE. An analysis of blasting accidents in mining operations. In: Proceedings of the 29th Annual Conference on Explosives and Blasting Technique, Vol. 2. Cleveland, OH: International Society of Explosives Engineers; 2003, p. 119-29.
  • Bajpayee TS, Rehak TR, Mowrey GL, Ingram DK. Blasting injuries in surface mining with emphasis on flyrock and blast area security. J Saf Res 2004;35(1):47–57.
  • Siskind DE, Kopp JW. Blasting accidents in mines: a 16-year summary. In: Proceedings of the 21st Annual Conference on Explosives and Blasting Technique. Cleveland, OH: International Society of Explosives Engineers; 1995, p. 224-39.
  • Bajpayee TS, Harry C, Verakis TE, Lobb TE. An Analysis and Prevention of Flyrock Accidents in Surface Blasting Operations. Cleveland, OH: International Society of Explosives Engineers; 2004.
  • Richards AB, Moore AJ. Kalgoorlie Gold Mines Predictive Model. WA, Australia: Terrock Consulting Engineers; 2005.
  • Bhandari S. Engineering rock blasting operations. Rotterdam: A.A. Balkema; 1997.
  • Armaghani DJ, Mahdiyar A, Hasanipanah M, Faradonbeh RS, Khandelwal M, Amnieh HB. Risk assessment and prediction of flyrock distance by combined multiple regression analysis and Monte Carlo simulation of quarry blasting. Rock Mech Rock Eng 2016;49(9):3631–41.
  • Hasanipanah M, Armaghani DJ, Amnieh HB, Koopialipoor M, Arab H. A risk-based technique to analyze flyrock results through rock engineering system. Geotech Geol Eng 2018;36(4):2247–60.
  • Zhou J, Koopialipoor M, Murlidhar BR, Fatemi SA, Tahir MM, Armaghani DJ, Li C. Use of intelligent methods to design effective pattern parameters of mine blasting to minimize flyrock distance. Nat Resour Res 2019;29:625–39.
  • Siskind DE, Kopp JW. Blasting accidents in mines: a 16-year summary. In: Proceedings of the 21st Annual Conference on Explosives and Blasting Technique. Cleveland, OH: International Society of Explosives Engineers; 1995, p. 224-39.
  • Mwafulirwa KY. Methodology for Characterising the Efficacy of Blasting in Open-pit Mines by Video Image Analysis. Master thesis. Porto: University of Porto; 2014.
  • US Department of Labor. Title 30, Code of Federal Regulations. Washington, DC: US Government Printing Office; 2002.
  • Stiehr J. Flyrock. In: Stiehr J, Dean J, editors. ISEE Blasters’ Handbook. 18th ed. Cleveland, OH: International Society of Explosives Engineers; 2011, p. 383-410.
  • Mwafulirwa KY. Methodology for Characterising the Efficacy of Blasting in Open-pit Mines by Video Image Analysis. Master thesis. Porto: University of Porto; 2014.
  • Kukreja H, Bharat H, Siddesh C, Kuldeep S. An introduction to artificial neural network. International Journal of Advance Research and Innovative Ideas in Education 2016;1(5):27-30.
  • Dehghani H, Shafaghi M. Prediction of blast induced flyrock using differential evolution algorithm. Engineering with Computers 2017;33(1):149-58.
  • Ghasemi E, Sari M, Ataei M. Development of an empirical model for predicting the effects of controllable blasting parameters on flyrock distance in surface mines. International Journal of Rock Mechanics and Mining Sciences 2012;52:163-70.
  • Stojadinovic S, Lilic N, Obradovic I, Pantovic R, Ristovic I. Prediction of flyrock launch velocity using artificial neural networks. Neural Computing and Applications 2015;27(2):515-24.
  • Lundborg N. The probability of flyrock damage. Report DS 1981:5. Stockholm: Swedish Detonic Foundation (SveDeFo); 1981.
  • Lundborg N, Persson A, Ladegaard-Pedersen A, Holmberg R. Keeping the lid on flyrock in open-pit blasting. Eng Min J 1975;176:95–100.
  • Gupta RN, Bagchi A, Singh B. Optimising drilling and blasting parameters to improve blasting efficiency. In: Rock Mechanics in India, Status Report. New Delhi: CBIP; 1988, p. 185–206.
  • Yari M, Armaghani DJ, Maraveas C, Ejlali AN, Mohamad ET, Asteris PG. Several Tree-Based Solutions for Predicting Flyrock Distance Due to Mine Blasting. Appl Sci 2023;13:1345. doi:10.3390/app13031345.
  • Armaghani DJ, Koopialipoor M, Bahri M, Hasanipanah M, Tahir MM. A SVR-GWO technique to minimize flyrock distance resulting from blasting. Bull Eng Geol Environ 2020;79. doi:10.1007/s10064-020-01834-7.
  • Murlidhar BR, Nguyen H, Rostami J, Bui X, Armaghani DJ, Ragam P, Mohamad ET. Prediction of flyrock distance induced by mine blasting using a novel Harris Hawks optimization-based multi-layer perceptron neural network. Journal of Rock Mechanics and Geotechnical Engineering 2021;13(6):1413-27. doi:10.1016/j.jrmge.2021.08.005.
  • McKenzie CK. Flyrock range and fragment size prediction. In: Proceedings of the 35th Annual Conference on Explosives and Blasting Technique, Vol. 2. Cleveland, OH: International Society of Explosives Engineers; 2009.

Evaluation of Blast-Induced Flyrock in Sites with Different Rock Mass Properties

Year 2026, Volume: 28 Issue: 82, 8 - 14, 27.01.2026
https://doi.org/10.21205/deufmd.2026288202

Abstract

Blasting operations are a key method for excavation in both mining and construction projects. While open-pit mining typically uses larger amounts of explosives compared to construction projects, only 20-30% of the explosive energy is actually used for breaking the rock. The rest of the energy leads to unwanted environmental effects, including ground vibrations, air blasts, and the more dangerous outcome: flyrock. Flyrock presents a significant safety hazard, capable of damaging buildings and even causing fatalities. This study explores the key factors that contribute to flyrock incidents during blasting, paying particular attention to issues like improper burden selection and inadequate stemming. Additionally, it looks at how the relationship between rock mass properties and flyrock impacts the risk of occurrence. By examining various blasting designs and geological conditions, the study emphasizes the importance of carefully planned blasting parameters and an understanding of rock mass properties to minimize flyrock risks.

References

  • Raina AK, Murthy VMSR, Soni AK. Flyrock in surface mine blasting: understanding the basics to develop a predictive regime. Curr Sci 2015;108(4):660-65.
  • Mishra AK, Mallick DK. Analysis of blasting related accidents with emphasis on flyrock and its mitigation in surface mines. In: Singh PK, Sinha A, editors. Rock Fragmentation by Blasting, London: Taylor and Francis; 2013, p. 555–61.
  • Verakis HC, Lobb TE. An analysis of blasting accidents in mining operations. In: Proceedings of the 29th Annual Conference on Explosives and Blasting Technique, Vol. 2. Cleveland, OH: International Society of Explosives Engineers; 2003, p. 119-29.
  • Bajpayee TS, Rehak TR, Mowrey GL, Ingram DK. Blasting injuries in surface mining with emphasis on flyrock and blast area security. J Saf Res 2004;35(1):47–57.
  • Siskind DE, Kopp JW. Blasting accidents in mines: a 16-year summary. In: Proceedings of the 21st Annual Conference on Explosives and Blasting Technique. Cleveland, OH: International Society of Explosives Engineers; 1995, p. 224-39.
  • Bajpayee TS, Harry C, Verakis TE, Lobb TE. An Analysis and Prevention of Flyrock Accidents in Surface Blasting Operations. Cleveland, OH: International Society of Explosives Engineers; 2004.
  • Richards AB, Moore AJ. Kalgoorlie Gold Mines Predictive Model. WA, Australia: Terrock Consulting Engineers; 2005.
  • Bhandari S. Engineering rock blasting operations. Rotterdam: A.A. Balkema; 1997.
  • Armaghani DJ, Mahdiyar A, Hasanipanah M, Faradonbeh RS, Khandelwal M, Amnieh HB. Risk assessment and prediction of flyrock distance by combined multiple regression analysis and Monte Carlo simulation of quarry blasting. Rock Mech Rock Eng 2016;49(9):3631–41.
  • Hasanipanah M, Armaghani DJ, Amnieh HB, Koopialipoor M, Arab H. A risk-based technique to analyze flyrock results through rock engineering system. Geotech Geol Eng 2018;36(4):2247–60.
  • Zhou J, Koopialipoor M, Murlidhar BR, Fatemi SA, Tahir MM, Armaghani DJ, Li C. Use of intelligent methods to design effective pattern parameters of mine blasting to minimize flyrock distance. Nat Resour Res 2019;29:625–39.
  • Siskind DE, Kopp JW. Blasting accidents in mines: a 16-year summary. In: Proceedings of the 21st Annual Conference on Explosives and Blasting Technique. Cleveland, OH: International Society of Explosives Engineers; 1995, p. 224-39.
  • Mwafulirwa KY. Methodology for Characterising the Efficacy of Blasting in Open-pit Mines by Video Image Analysis. Master thesis. Porto: University of Porto; 2014.
  • US Department of Labor. Title 30, Code of Federal Regulations. Washington, DC: US Government Printing Office; 2002.
  • Stiehr J. Flyrock. In: Stiehr J, Dean J, editors. ISEE Blasters’ Handbook. 18th ed. Cleveland, OH: International Society of Explosives Engineers; 2011, p. 383-410.
  • Mwafulirwa KY. Methodology for Characterising the Efficacy of Blasting in Open-pit Mines by Video Image Analysis. Master thesis. Porto: University of Porto; 2014.
  • Kukreja H, Bharat H, Siddesh C, Kuldeep S. An introduction to artificial neural network. International Journal of Advance Research and Innovative Ideas in Education 2016;1(5):27-30.
  • Dehghani H, Shafaghi M. Prediction of blast induced flyrock using differential evolution algorithm. Engineering with Computers 2017;33(1):149-58.
  • Ghasemi E, Sari M, Ataei M. Development of an empirical model for predicting the effects of controllable blasting parameters on flyrock distance in surface mines. International Journal of Rock Mechanics and Mining Sciences 2012;52:163-70.
  • Stojadinovic S, Lilic N, Obradovic I, Pantovic R, Ristovic I. Prediction of flyrock launch velocity using artificial neural networks. Neural Computing and Applications 2015;27(2):515-24.
  • Lundborg N. The probability of flyrock damage. Report DS 1981:5. Stockholm: Swedish Detonic Foundation (SveDeFo); 1981.
  • Lundborg N, Persson A, Ladegaard-Pedersen A, Holmberg R. Keeping the lid on flyrock in open-pit blasting. Eng Min J 1975;176:95–100.
  • Gupta RN, Bagchi A, Singh B. Optimising drilling and blasting parameters to improve blasting efficiency. In: Rock Mechanics in India, Status Report. New Delhi: CBIP; 1988, p. 185–206.
  • Yari M, Armaghani DJ, Maraveas C, Ejlali AN, Mohamad ET, Asteris PG. Several Tree-Based Solutions for Predicting Flyrock Distance Due to Mine Blasting. Appl Sci 2023;13:1345. doi:10.3390/app13031345.
  • Armaghani DJ, Koopialipoor M, Bahri M, Hasanipanah M, Tahir MM. A SVR-GWO technique to minimize flyrock distance resulting from blasting. Bull Eng Geol Environ 2020;79. doi:10.1007/s10064-020-01834-7.
  • Murlidhar BR, Nguyen H, Rostami J, Bui X, Armaghani DJ, Ragam P, Mohamad ET. Prediction of flyrock distance induced by mine blasting using a novel Harris Hawks optimization-based multi-layer perceptron neural network. Journal of Rock Mechanics and Geotechnical Engineering 2021;13(6):1413-27. doi:10.1016/j.jrmge.2021.08.005.
  • McKenzie CK. Flyrock range and fragment size prediction. In: Proceedings of the 35th Annual Conference on Explosives and Blasting Technique, Vol. 2. Cleveland, OH: International Society of Explosives Engineers; 2009.
There are 27 citations in total.

Details

Primary Language Turkish
Subjects Drilling and Blasting in Rock Engineering
Journal Section Research Article
Authors

Tuğçe Öngen 0000-0001-9783-7330

Submission Date November 26, 2024
Acceptance Date March 5, 2025
Publication Date January 27, 2026
Published in Issue Year 2026 Volume: 28 Issue: 82

Cite

Vancouver Öngen T. Farklı Kaya Kütle Özelliklerine Sahip Sahalarda Patlatma Kaynaklı Kaya Fırlamasının Değerlendirilmesi. DEUFMD. 2026;28(82):8-14.

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