Ground vibration prediction in quarry blasting through an artificial neural network optimized by imperialist competitive algorithm

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• 作者：Mohsen Hajihassani ; Danial Jahed Armaghani…
• 关键词：Blast safety area ; Ground vibration ; Peak particle velocity ; Artificial neural network ; Imperialist competitive algorithm ; Blast zone de s茅curit茅 au sol ; vibrations ; Pic de v茅locit茅 脿 particules ; r茅seaux de neurones artificiels ; concurrentielle imp茅rialiste algorithme
• 刊名：Bulletin of Engineering Geology and the Environment
• 出版年：2015
• 出版时间：August 2015
• 年：2015
• 卷：74
• 期：3
• 页码：873-886
• 全文大小：2,986 KB
• 参考文献：Ak H, Konuk A (2008) The effect of discontinuity frequency on ground vibrations produced from bench blasting: a case study. Soil Dyn Earthq Eng 28:686鈥?94View Article
  Ak H, Iphar M, Yavuz M, Konuk A (2009) Evaluation of ground vibration effect of blasting operations in a magnesite mine. Soil Dyn Earthq Eng 29:669鈥?76View Article
  Ambraseys NR, Hendron AJ (1968) Dynamic behavior of rock masses: rock mechanics in engineering practices. Wiley, London
  Ataei M, Kamali M (2012) Prediction of blast-induced vibration by adaptive neuro-fuzzy inference system in Karoun 3 power plant and dam. J Vib Control 22:1鈥?
  Atashpaz-Gargari E, Lucas C (2007) Imperialist competitive algorithm: an algorithm for optimization inspired by imperialistic competition. In: IEEE Congr Evol Comput, pp 4661鈥?667
  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. Int J Intell Comput Cybern 1:337鈥?55View Article
  Bakhshandeh Amnieh H, Mozdianfard MR, Siamaki A (2010) Predicting of blasting vibrations in Sarcheshmeh copper mine by neural network. Saf Sci 48:319鈥?25View Article
  Bakhshandeh Amnieh H, Siamaki A, Soltani S (2012) Design of blasting pattern in proportion to the peak particle velocity (PPV): artificial neural networks approach. Saf Sci 50:1913鈥?916View Article
  Basu D, Sen M (2005) Blast induced ground vibration norms鈥攁 critical review. In: National seminar on policies, Statutes and Legislation in Mines, Kharagpur, India, pp 112鈥?13
  Blair DP (1987) The measurement, modelling and control of ground vibrations due to blasting. In: Proceedings of the 2nd international symposium of rock fragmentation by blasting, Keystone, Colorado, pp 88鈥?01
  Blair DP (1990) Some problems associated with standard charge weight vibration scaling laws. In: Proceedings of the 3rd international symposium on fragmentation by blasting, Brisbane, pp 149鈥?58
  Blair DP (2014) Blast vibration dependence on charge length, velocity of detonation and layered media. Int J Rock Mech Min Sci 65:29鈥?9
  Bureau of Indian Standard (1973) Criteria for safety and design of structures subjected to underground blast. ISI Bull IS-6922
  Ceryan N, Okkan U, Kesimal A (2012) Prediction of unconfined compressive strength of carbonate rocks using artificial neural networks. Environ Earth Sci 68:807鈥?19View Article
  Cevik A, Sezer EA, Cabalar AF, Gokceoglu C (2011) Modelling of the uniaxial compressive strength of some clay-bearing rocks using neural network. Appl Soft Comput 11:2587鈥?594View Article
  Davies B, Farmer IW, Attewell PB (1964) Ground vibrations from shallow sub-surface blasts. Engineer 217:553鈥?59
  Douglas E (1989) An investigation of blasting criteria for structural and ground vibrations. Master thesis, Ohio University
  Drew LJ, Langer WH, Sachs JS (2002) Environmentalism and natural aggregate mining. Nat Resur Res 11:19鈥?8View Article
  Dreyfus G (2005) Neural networks: methodology and application. Springer, Germany
  Duvall WI, Fogelson DE (1962) Review of criteria for estimating damage to residences from blasting vibration. US Bureau of Mines R.I. 5968
  Duvall WI, Petkof B (1959) Spherical propagation of explosion generated strain pulses in rock. USBM Rep Investig 5483:21
  Eberhart RC, Simpson PK, Dobbins RW (1996) Computational intelligence PC tools. Academic Press Professional, Waltham
  Fi艧ne A, Kuzu C, H眉daverdi T (2011) Prediction of environmental impacts of quarry blasting operation using fuzzy logic. Environ Monit Assess 174:461鈥?70View Article
  Ghasemi E, Ataei M, Hashemolhosseini H (2013) Development of a fuzzy model for predicting ground vibration caused by rock blasting in surface mining. J Vib Control 19:755鈥?70View Article
  Ghosh A, Daemen JK (1983) A simple new blast vibration predictor. In: Proceedings of the 24th US symposium on rock mechanics, College Station, Texas, pp 151鈥?61 April 1979
  Gonz谩lez-Nicieza C, 脕lvarez-Fernandez MI, Alvarez-Vigil AE, Arias-Prieto D, L贸pez-Gayarre F, Ramos-Lopez FL (2014) Influence of depth and geological structure on the transmission of blast vibrations. Bull Eng Geol Environ. doi:10.鈥?007/鈥媠10064-014-0595-7
  G枚rg眉l眉 K, Arpaz E, Demirci A, Ko莽aslan A, Dilma莽 MK, Y眉ksek AG (2013) Investigation of blast-induced ground vibrations in the T眉l眉 boron open pit mine. Bull Eng Geol Environ 72(3鈥?):555鈥?64View Article
  Hajihassani M, Jahed Armaghani D, Sohaei H, Tonnizam Mohamad E, Marto A (2014) Prediction of airblast-overpressure induced by blasting using a hybrid artificial neural network and particle swarm optimization. Appl Acoust 80:57鈥?7View Article
  Hecht-Nielsen R (1987) Kolmogorov鈥檚 mapping neural network existence theorem. In: Proceedings of the first IEEE international conference on neural networks, San Diego, pp 11鈥?4
  Holmberg R, Persson PA (1979) Design of tunnel perimeter blasthole patterns to prevent rock damage. In: Proceedings of IMM tunnelling鈥?9 conference, London, pp 280鈥?83
  Hornik K, Stinchcombe M, White H (1989) Multilayer feedforward networks are universal approximators. Neural Netw 2:359鈥?66View Article
  Hudaverdi T (2012) Application of multivariate analysis for prediction of blast-induced ground vibrations. Soil Dyn Earthq Eng 43:300鈥?08View Article
  Hush DR (1989) Classification with neural networks: a performance analysis. In: Proceedings of the IEEE international conference on systems engineering Dayton Ohia, USA, pp 277鈥?80
  Iphar M, Yavuz M, Ak H (2008) Prediction of ground vibrations resulting from the blasting operations in an open-pit mine by adaptive neuro-fuzzy inference system. Environ Geol 56:97鈥?07View Article
  ISRM (2007) The complete ISRM suggested methods for rock characterization, testing and monitoring: 1974鈥?006. In: Ulusay R, Hudson JA (eds) Suggested methods prepared by the commission on testing methods. International Society for Rock Mechanics. ISRM Turkish National Group, Ankara, Turkey
  Jahed Armaghani D, Hajihassani M, Mohamad ET, Marto A, Noorani SA (2013) Blasting-induced flyrock and ground vibration prediction through an expert artificial neural network based on particle swarm optimization. Arab J Geosci. doi:10.鈥?007/鈥媠12517-013-1174-0
  Jahed Armaghani D, Hajihassani M, Bejarbaneh BY, Marto A, Mohamad ET (2014) Indirect measure of shale shear strength parameters by means of rock index tests through an optimized artificial neural network. Measurement 55:487鈥?98View Article
  Kaastra I, Boyd M (1996) Designing a neural network for forecasting financial and economic time series. Neurocomputing 10:215鈥?36View Article
  Kahriman A (2002) Analysis of ground vibrations caused by bench blasting at can open-pit lignite mine in Turkey. Environ Earth Sci 41:653鈥?61
  Kamali M, Ataei M (2011) Prediction of blast induced vibrations in the structures of Karoun III power plant and dam. J Vib Control 17:541鈥?48View Article
  Kanellopoulas I, Wilkinson GG (1997) Strategies and best practice for neural network image classification. Int J Remote Sens 18:711鈥?25View Article
  Karami A, Rezaei E, Shahhosseni M, Aghakhani M (2012) Optimization of heat transfer in an air cooler equipped with classic twisted tape inserts using imperialist competitive algorithm. Exp Therm Fluid Sci 38:195鈥?00View Article
  Khandelwal M, Kankar PK (2011) Prediction of blast-induced air overpressure using support vector machine. Arab J Geosci 4:427鈥?33View Article
  Khandelwal M, Singh TN (2006) Prediction of blast induced ground vibrations and frequency in opencast mine: a neural network approach. J Sound Vib 289:711鈥?25View Article
  Khandelwal M, Singh TN (2007) Evaluation of blasting induced ground vibration predictors. Soil Dyn Earthq Eng 27:116鈥?25View Article
  Khandelwal M, Singh TN (2009) Prediction of blasting induced ground vibration using artificial neural network. Int J Rock Mech Min Sci 46:1214鈥?222View Article
  Kosko B (1994) Neural networks and fuzzy systems: a dynamical systems approach to machine intelligence. Prentice Hall, New Delhi
  Kuzu C (2008) The importance of site-specific characters in prediction models for blast-induced ground vibrations. Soil Dyn Earthq Eng 28:405鈥?14View Article
  Langefors U, Kihlstrom B (1963) The modern technique of rock blasting. Wiley, New York
  Masters T (1994) Practical neural network recipes in C聽++. Academic Press, Boston MA
  Mohamed MT (2011) Performance of fuzzy logic and artificial neural network in prediction of ground and air vibrations. Int J Rock Mech Min Sci 48:845鈥?51View Article
  Montana DJ, Davis L (1989) Training feedforward neural networks using genetic algorithms. IJCAI 89:762鈥?67
  Ozer U, Kahriman A, Aksoy M, Adiguzel D, Karadogan A (2008) The analysis of ground vibrations induced by bench blasting at Akyol quarry and practical blasting charts. Environ Geol 54:737鈥?43View Article
  Paola JD (1994) Neural network classification of multispectral imagery. MSc thesis, The University of Arizona, USA
  Rajabioun E, Atashpaz-Gargari E, Lucas C (2008) Colonial competitive algorithm as a tool for Nash equilibrium point achievement. In: Computational science and its applications-iccsa 2008, Springer, pp 680鈥?95
  Ripley BD (1993) Statistical aspects of neural networks. In: Barndoff-Neilsen OE, Jensen JL, Kendall WS (eds) Networks and chaos-statistical and probabilistic aspects. Chapman & Hall, London, pp 40鈥?23View Article
  Roy PP (1993) Putting ground vibration predictors into practice. J Colliery Guard 241:63鈥?7
  Sepehri Rad H, Lucas C (2008) Application of imperialistic competition algorithm in recommender systems. In: 13th International CSI computer conference (CSICC鈥?8), Kish, Iran
  Simpson PK (1990) Artificial neural system鈥攆oundation, paradigm, application and implementations. Pergamon Press, New York
  Singh TN, Singh V (2005) An intelligent approach to prediction and control ground vibration in mines. Geotech Geolog Eng 23:249鈥?62View Article
  Socha K, Blum C (2007) An ant colony optimization algorithm for continuous optimization: application to feed-forward neural network training. Neural Comput Appl 16:235鈥?47View Article
  Sonmez H, Gokceoglu C (2008) Discussion on the paper by H. Gullu and E. Ercelebi, 鈥淎 neural network approach for attenuation relationships: an application using strong ground motion data from Turkey. Eng Geol 97:91鈥?3View Article
  Sonmez H, Gokceoglu C, Nefeslioglu HA, Kayabasi A (2006) Estimation of rock modulus: for intact rocks with an artificial neural network and for rock masses with a new empirical equation. Int J Rock Mech Min Sci 43:224鈥?35View Article
  Tiryaki B (2008) Application of artificial neural networks for predicting the cuttability of rocks by drag tools. Tunn Undergr Sp Tech 23:273鈥?80View Article
  Tsou D, MacNish C (2003) Adaptive particle swarm optimization for high-dimensional highly convex search spaces. In: Proceedings of the IEEE congress on evolutionary computation, pp 783鈥?89
  Verma AK, Singh TN (2011) Intelligent systems for ground vibration measurement: a comparative study. Eng Comput 27:225鈥?33View Article
  Wang C (1994) A theory of generalization in learning machines with neural application. Phd thesis, The University of Pennsylvania, USA
  Wiss JF, Linehan PW (1978) Control of vibration and air noise from surface coal mines. US Bureau of Mines Report OFR, p 103
  
• 作者单位：Mohsen Hajihassani (1)
  Danial Jahed Armaghani (2)
  Aminaton Marto (2)
  Edy Tonnizam Mohamad (2)
  
  1. Construction Research Alliance, Universiti Teknologi Malaysia, UTM Skudai, 81310, Johor, Malaysia
  2. Faculty of Civil Engineering, Department of Geotechnics and Transportation, Universiti Teknologi Malaysia, UTM Skudai, 81310, Johor, Malaysia
  
• 刊物类别：Earth and Environmental Science
• 刊物主题：Earth sciences
  Applied Geosciences
  Structural Foundations and Hydraulic Engineering
  Geoecology and Natural Processes
  Nature Conservation
  
• 出版者：Springer Berlin / Heidelberg
• ISSN：1435-9537

文摘

This paper presents a new hybrid artificial neural network (ANN) optimized by imperialist competitive algorithm (ICA) to predict peak particle velocity (PPV) resulting from quarry blasting. For this purpose, 95 blasting works were precisely monitored in a granite quarry site in Malaysia and PPV values were accurately recorded in each operation. Furthermore, the most influential parameters on PPV were measured and used to train the ICA-ANN model. Considering the measured data from the granite quarry site, a new empirical equation was developed to predict PPV. For comparison, a pre-developed ANN model was developed for PPV prediction. The results demonstrated that the proposed ICA-ANN model is able to predict blasting-induced PPV better than other presented techniques.