EN
TR
An Overview of Flyrock and its Prediction in Surface Mine Blasting using Soft Computing Techniques
Öz
The occurrence of flyrocks due to blasting has certainly gained tremendous attention by recent researchers as well as mine operators since time immemorial. With the increase in demand for the mineral and subsequent thrust on the surface mining operations, the mining projects are expanding their scale of operations. As such, not only the mines, but also the nearby inhabitants are endangered. So flyrock is one of the most hazardous side effects of blasting operation in surface mining. There are several empirical methods for predicting flying rocks. The poor performance of these different methods is due to the complexity and difficulty of rock analysis. The existence of various influential parameters and their unknown relationships are the main reasons for the inaccuracy of empirical models. In this light, the present paper gives an overview of state-of-art researches and their outcome in the area of control and prediction of flyrocks. The paper discusses the significant contribution of soft computing techniques in controlling and minimizing the flyrocks. Furthermore, it lays emphasis on scientific and categorical identification of most significant rock explosive and blasting design parameters in the prediction models to enhance their precision and universalization.
Anahtar Kelimeler
Kaynakça
- Abraham, A. (2004). Meta learning evolutionary artificial neural networks original research article. Neurocomputing, 56(1), 1-38.
- Adhikari, G.R. (1999). Studies on flyrock at limestone quarries. Rock Mechanics and Rock Engineering, 32(4), 291-301.
- Ajpayee, T.S., Rehak, T.R., Mowrey, G.L., Ingram, D.K., (2000). A summary of fatal accidents due to flyrock and lack of blast area security in surface mining. In: Proceedings of the 27th Annual Conference on Explosives and Blasting Technique, Cleveland, USA, 55-62.
- Amini, H., Gholami, R., Monjezi, M., Torabi, S.R., Zadhesh, J. (2011). Evaluation of flyrock phenomenon due to blasting operation by support vector machine. Neural Computing and Applications, 21(8), 2077-2085.
- Armaghani, D.J., Hajihassani, M., Mohamad, E.T., Marto, A., Noorani, S.A. (2013). Blasting-induced flyrock and ground vibration prediction through an expert artificial neural network based on particle swarm optimization. Arabian Journal of Geosciences, 7(12), 5383-5396.
- Armaghani, D.J., Hajihassani, M., Monjezi, M., Mohamad, E.T., Marto, A., Moghaddam, M.R. (2015). Application of two intelligent systems in predicting environmental impacts of quarry blasting. Arabian Journal of Geosciences, 8(11), 9647-9665.
- Armaghani, D.J., Mohamad, E. T., Hajihassani, M., Alavi Nezhad Khalil Abad, S. V., Marto, A., Moghaddam, M. R. (2015). Evaluation and prediction of flyrock resulting from blasting operations using empirical and computational methods. Engineering with Computers, 32(1), 109–121. doi:10.1007/s00366-015-0402-5
- Atashpaz Gargari, E., Hashemzadeh, F., Rajabioun, R., Lucas, C. (2008). Colonial competitive algorithm: a novel approach for PID controller design in MIMO distillation column process. International Journal of Intelligent Computing and Cybernetics, 1(3), 337-355.
Ayrıntılar
Birincil Dil
İngilizce
Konular
Mühendislik
Bölüm
Derleme
Yayımlanma Tarihi
31 Aralık 2021
Gönderilme Tarihi
25 Ağustos 2021
Kabul Tarihi
22 Eylül 2021
Yayımlandığı Sayı
Yıl 2021 Cilt: 2 Sayı: 2
APA
Balakrishnan, V., & Rai, P. (2021). An Overview of Flyrock and its Prediction in Surface Mine Blasting using Soft Computing Techniques. Recep Tayyip Erdogan University Journal of Science and Engineering, 2(2), 105-119. https://doi.org/10.53501/rteufemud.986903
AMA
1.Balakrishnan V, Rai P. An Overview of Flyrock and its Prediction in Surface Mine Blasting using Soft Computing Techniques. RTEÜ-FEMÜD. 2021;2(2):105-119. doi:10.53501/rteufemud.986903
Chicago
Balakrishnan, Vineeth, ve Piyush Rai. 2021. “An Overview of Flyrock and its Prediction in Surface Mine Blasting using Soft Computing Techniques”. Recep Tayyip Erdogan University Journal of Science and Engineering 2 (2): 105-19. https://doi.org/10.53501/rteufemud.986903.
EndNote
Balakrishnan V, Rai P (01 Aralık 2021) An Overview of Flyrock and its Prediction in Surface Mine Blasting using Soft Computing Techniques. Recep Tayyip Erdogan University Journal of Science and Engineering 2 2 105–119.
IEEE
[1]V. Balakrishnan ve P. Rai, “An Overview of Flyrock and its Prediction in Surface Mine Blasting using Soft Computing Techniques”, RTEÜ-FEMÜD, c. 2, sy 2, ss. 105–119, Ara. 2021, doi: 10.53501/rteufemud.986903.
ISNAD
Balakrishnan, Vineeth - Rai, Piyush. “An Overview of Flyrock and its Prediction in Surface Mine Blasting using Soft Computing Techniques”. Recep Tayyip Erdogan University Journal of Science and Engineering 2/2 (01 Aralık 2021): 105-119. https://doi.org/10.53501/rteufemud.986903.
JAMA
1.Balakrishnan V, Rai P. An Overview of Flyrock and its Prediction in Surface Mine Blasting using Soft Computing Techniques. RTEÜ-FEMÜD. 2021;2:105–119.
MLA
Balakrishnan, Vineeth, ve Piyush Rai. “An Overview of Flyrock and its Prediction in Surface Mine Blasting using Soft Computing Techniques”. Recep Tayyip Erdogan University Journal of Science and Engineering, c. 2, sy 2, Aralık 2021, ss. 105-19, doi:10.53501/rteufemud.986903.
Vancouver
1.Vineeth Balakrishnan, Piyush Rai. An Overview of Flyrock and its Prediction in Surface Mine Blasting using Soft Computing Techniques. RTEÜ-FEMÜD. 01 Aralık 2021;2(2):105-19. doi:10.53501/rteufemud.986903