Simulation of blasting-induced air overpressure by means of Artificial Neural Networks

International Review on Modelling and Simulations

Volumn 5, Issue 6, 2012, Pages 2501-2506

  Tonnizam Mohamad, E ^a   Hajihassani, M ^a   Jahed Armaghani, D ^a   Marto, A ^a  

^a UNIVERSITI TEKNOLOGI MALAYSIA   (Malaysia)

Author keywords

Airblast; Backpropagation Artificial Neural Networks; Blast Safety Area; Blasting

Indexed keywords

EID: 84874372011     PISSN: 19749821     EISSN: 25331701     Source Type: Journal    
DOI: None     Document Type: Article

References (22)

1. P. Segarra, J. F. Domingo, L. M. López, J. A. Sanchidrián, M. F. Ortega, Prediction of near field overpressure from quarry blasting. Applied Acoustics, 71:1169-1176. 2010.
2. A. K. Raina, A. Haldar, P. B. Chakraborty, M. Choudhury, M. Ramulu, Human response to blast induced vibration and air overpressure: an Indian scenario. Bull Eng Geol Environ;63:209-14. 2004.
3. C. J. Konya, E. J. Walter, Surface blast design. Prentice-Hill;. p. 240-81. 2000.
4. P.P. Roy, Rock blasting effects and operations. Balkema; p. 223-40. 2005.
5. Marto, A., Hajihassani, M., Kalatehjari, R., Namazi, E., Sohaei, H., Simulation of longitudinal surface settlement due to tunnelling using artificial neural network, (2012) International Review on Modelling and Simulations (IREMOS), 5 (2), pp. 1024-1031.
6. B. Derras, Peak Ground Acceleration Prediction Using Artificial Neural Networks Approach: Application to the Kik-Net Data, (2010) International Review of Civil Engineering (IRECE), 1 (3), pp. 243-252.
7. S. Bhandari, Engineering Rock Blasting Operations. Netherlands: A.A. Balkema publishers. 1997.
8. D. E. Siskind, V. J. Stachura, M. S. Stagg, J. W. Koop, Structure response and damage produced by airblast from surface mining. United States Bureau of Mines Report of Investigation 8485; 1980.
9. B. P. E. Hemphill Gary, Blasting Operations. McGraw-Hill. 1981.
10. C. Kuzu, A. Fisne, S. G. Ercelebi, Operational and geological parameters in the assessing blast induced airblast-overpressure in quarries. Applied Acoustics, 70, 404-41. 2008.
11. C. McKezine, Quarry blast monitoring: Technical and Environmental Perspective. Quarry Management, pp 23-29. 1993.
12. A. B. Richards, A. J. Moore, Airblast design concepts in open pit mines. 7th international symposium on rock fragmentation by blasting-fragblast 7, Beijing, China; August. p. 553-61. 2002.
13. W. U. Chengqing, H. Hong, Modeling of simultaneous ground shock and airblast pressure on nearby structures from surface explosions. International Journal of Impact Engineering, 31, 699-717. 2005.
14. R. Rodriguez, J. Torano, M. Menendez, Prediction of the airblast wave effects near a tunnel advanced by drilling and blasting. Tunneling and Underground Space Technology, 22, 241-25, 2007.
15. R. Rodriguez, C. Lombardia, S. Torno, Prediction of the air wave due to blasting inside tunnels: Approximation to a 'phonometric curve'. Tunnelling and Underground Space Technology, 25, 483-489, 2010.
16. F. Rosenblatt, The Perceptron: A probabilistic model for information storage and organization in the brain, Psychological Review. 65:386-408. 1958.
17. W. Pitts, W. S. McCulloch, A logical calculus of the ideas immanent in nervous activity, Bulletin of Mathematical Biophysics, 5:115-133, 1943.
18. S. Haykin, Neural Networks: A Comprehensive Foundation, (New York: Macmillan College, 1994).
19. J. J. Hopfield, D.W. Tank. Computing With Neural Circuits: a Model. Science, 223:625-633, 1986
20. B. Kosko, Neural networks and fuzzy systems: a dynamical systems approach to machine intelligence, (Prentice Hall, New Delhi. 1994).
21. I. A. Basheer, M. Hajmeerb, Artificial Neural Networks: Fundamentals, Computing, Design, and Application, Journal of Microbiological Methods, 43:3-31, 2000.
22. P.K. Simpson, Artificial neural system - foundation, paradigm, application and implementations, (Pergamon Press, New York, 1990).