메뉴 건너뛰기




Volumn 110, Issue 8, 2010, Pages 481-490

Prediction of blast induced ground vibrations in Karoun III power plant and dam: A neural network

Author keywords

Blasting; Ground vibration; Neural network; Peak particle velocity; Vibrations monitoring and excavation

Indexed keywords

ARTIFICIAL NEURAL NETWORK; BLAST HOLES; BLAST SITES; EMPIRICAL METHOD; EMPIRICAL MODEL; GROUND VIBRATION; INPUT PARAMETER; MULTIVARIATE REGRESSION ANALYSIS; OBSERVED DATA; OUTPUT PARAMETERS; PEAK PARTICLE VELOCITIES; PREDICTING MODELS; STATISTICAL APPROACH; TOTAL CHARGE; TWO-POINT; VIBRATIONS MONITORING AND EXCAVATION;

EID: 78049329368     PISSN: 22256253     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article
Times cited : (26)

References (45)
  • 2
    • 35648958923 scopus 로고
    • Criteria for safety and design of structures subjected to underground blast
    • INDIAN STANDARD INSTITUTE
    • INDIAN STANDARD INSTITUTE. Criteria for safety and design of structures subjected to underground blast, ISI Bull 1973, IS-6922.
    • (1973) ISI Bull
  • 3
    • 0022565314 scopus 로고
    • Ground vibration caused by civil engineering works. Transport and Road Research Laboratory
    • New BM. Ground vibration caused by civil engineering works. Transport and Road Research Laboratory, Research Report 53, 1986, p. 19
    • (1986) Research Report , vol.53 , pp. 19
    • New, B.M.1
  • 4
    • 84873219623 scopus 로고    scopus 로고
    • CMRI .Vibration standards, Central Mining Research Institute, Dhanbad; 1993
    • CMRI .Vibration standards, Central Mining Research Institute, Dhanbad; 1993.
  • 5
    • 0036487914 scopus 로고    scopus 로고
    • Analysis of ground vibrations caused by bench blasting at can open-pit lignite mine in Turkey
    • KAHRIMAN, A. Analysis of Ground Vibrations Caused by Bench Blasting at Can Open-pit Lignite Mine in Turkey. Environmental Geology, vol. 41, 2001. pp. 653-661.
    • (2001) Environmental Geology , vol.41 , pp. 653-661
    • Kahriman, A.1
  • 7
    • 6344240421 scopus 로고
    • Spherical propagation of explosion generated strain pulses in rock
    • DuvALL, W.I. AND PETKOF, B. Spherical propagation of explosion generated strain pulses in rock. USBM Report qf Investigation 5483, 1959, p. 21.
    • (1959) USBM Report Qf Investigation , vol.5483 , pp. 21
    • Duvall, W.I.1    Petkof, B.2
  • 13
    • 0027561346 scopus 로고
    • Putting ground vibration predictors into practice
    • PAL ROY, P. Putting ground vibration predictors into practice. Colliery Guardian, vol. 241, 1993. pp. 63-7.
    • (1993) Colliery Guardian , vol.241 , pp. 63-67
    • Pal Roy, P.1
  • 15
    • 78049343893 scopus 로고
    • Keeping the lid on flyrock in open-pit blasting
    • May
    • LuNDBORC, N. Keeping the lid on flyrock in open-pit blasting. E/MJ, May, 1957.
    • (1957) E/MJ
    • Lundborc, N.1
  • 17
    • 0018710198 scopus 로고
    • Design of tunnel perimeter blasthole patterns to prevent rock damage
    • London
    • HoLMBERC, R. and PERSSON, P.A. Design of tunnel perimeter blasthole patterns to prevent rock damage. Proc. IMM Tunnelling '79 Conference, London, 1979, pp. 280-283.
    • (1979) Proc. IMM Tunnelling '79 Conference , pp. 280-283
    • Holmber, R.1    Persson, P.A.2
  • 19
    • 85042618424 scopus 로고    scopus 로고
    • Artificial neural network for prediction and control of blasting vibrations in Assiut (Egypt) limestone quarry
    • MOHAMED, M.T. Artificial neural network for prediction and control of blasting vibrations in Assiut (Egypt) limestone quarry. International Journal of Rock Mechanics & Mining Sciences, vol. 46, 2009. pp. 426-431.
    • (2009) International Journal of Rock Mechanics & Mining Sciences , vol.46 , pp. 426-431
    • Mohamed, M.T.1
  • 21
    • 17844387840 scopus 로고    scopus 로고
    • An intelligent approach to prediction and control ground vibration in mines
    • doi 10.1007/S10706-004-7068-x
    • SINGH, T.N. and SINGH, V. An intelligent approach to prediction and control ground vibration in mines. Geotechnical and Geological Engineering, vol. 23, 2005 pp. 249-262. doi 10.1007/S10706-004-7068-x.
    • (2005) Geotechnical and Geological Engineering , vol.23 , pp. 249-262
    • Singh, T.N.1    Singh, V.2
  • 22
    • 0025960733 scopus 로고
    • Regional seismic event classification at the noress array: Seismological measurements and the use of trained neural networks
    • DYSART, P.S. and PULLI, J.J. Regional seismic event classification at the noress array: seismological measurements and the use of trained neural networks. Bull Seismol SocAm, vol. 80, 1990. pp. 1910-33.
    • (1990) Bull Seismol SocAm , vol.80 , pp. 1910-1933
    • Dysart, P.S.1    Pulli, J.J.2
  • 23
    • 0001462625 scopus 로고    scopus 로고
    • Analysis for the results of point load testing with artificial neural network
    • IACMAG, China
    • YANG, Y. and ZHANG, Q. Analysis for the results of point load testing with artificial neural network. Proceedings of computing methods and advances in geomechanics, IACMAG, China, 1997, pp. 607-12.
    • (1997) Proceedings of Computing Methods and Advances in Geomechanics , pp. 607-612
    • Yang, Y.1    Zhang, Q.2
  • 25
    • 0345712415 scopus 로고    scopus 로고
    • Estimation of mining tremor occurrence by using neural networks
    • RUDAJEV, V. and CIz, R. Estimation of mining tremor occurrence by using neural networks. Pure Appl Geophys, vol. 154, 1999. pp. 57-72.
    • (1999) Pure Appl Geophys , vol.154 , pp. 57-72
    • Rudajev, V.1    Ciz, R.2
  • 26
    • 0033043809 scopus 로고    scopus 로고
    • Using neural networks to discriminate between genuine and spurious seismic events in mines
    • FINNIE, G.J. Using neural networks to discriminate between genuine and spurious seismic events in mines. Pure Appl Geophys, vol. 154, 1999. pp. 41-56.
    • (1999) Pure Appl Geophys , vol.154 , pp. 41-56
    • Finnie, G.J.1
  • 27
    • 0030518733 scopus 로고    scopus 로고
    • Discrimination between local micro earthquakes and quarry blasts by multi-layer perceptions and Kohonen maps
    • MusIL, M. and PLESINGER, A. Discrimination between local micro earthquakes and quarry blasts by multi-layer perceptions and Kohonen maps. Bull Seismol Soc Am, vol. 86, 1996. pp. 1077-90.
    • (1996) Bull Seismol Soc Am , vol.86 , pp. 1077-1090
    • Musil, M.1    Plesinger, A.2
  • 28
    • 0032997179 scopus 로고    scopus 로고
    • Application of neural networks for the prediction of the unconfined compressive strength (UCS) from Equotip Hardness
    • MAULENKAMP, F. and GRIMA, M.A. Application of neural networks for the prediction of the unconfined compressive strength (UCS) from Equotip Hardness, Int J Rock Mech Min Sci, vol. 36, 1999. pp. 29-39.
    • (1999) Int J Rock Mech Min Sci , vol.36 , pp. 29-39
    • Maulenkamp, F.1    Grima, M.A.2
  • 29
    • 0035251579 scopus 로고    scopus 로고
    • Prediction of strength properties of some schistose rock
    • SINGH, V.K., SINGH, D., and SINGH, T.N. Prediction of strength properties of some schistose rock. Int J Rock Mech Min Sci, vol. 38, 2001. pp. 269-84.
    • (2001) Int J Rock Mech Min Sci , vol.38 , pp. 269-284
    • Singh, V.K.1    Singh, D.2    Singh, T.N.3
  • 31
    • 0038205400 scopus 로고    scopus 로고
    • Prediction of subsidence due to underground mining by artificial neural networks
    • AMBORZIC, T. and TURK, G. Prediction of subsidence due to underground mining by artificial neural networks. Computers & Geosciences, vol. 29, 2003. pp. 627-637.
    • (2003) Computers & Geosciences , vol.29 , pp. 627-637
    • Amborzic, T.1    Turk, G.2
  • 32
    • 0037653675 scopus 로고    scopus 로고
    • Pillar design by combining finite element methods, neural networks and reliability: A case study of the Feng Huangshan copper mine, China
    • DENG, J., YUE, Z.Q., THAM, L.G., and ZHU, H.H. Pillar design by combining finite element methods, neural networks and reliability: a case study of the Feng Huangshan copper mine, China. International Journal of Rock Mechanics & Mining Sciences, vol. 40, 2003. pp. 585-599.
    • (2003) International Journal of Rock Mechanics & Mining Sciences , vol.40 , pp. 585-599
    • Deng, J.1    Yue, Z.Q.2    Tham, L.G.3    Zhu, H.H.4
  • 33
    • 3142689190 scopus 로고    scopus 로고
    • Damage assessment in structure from changes in static parameters using neural networks
    • MAITY, D. and SAHA, A. Damage assessment in structure from changes in static parameters using neural networks. Sadhana, vol. 29, 2004. pp. 315-27.
    • (2004) Sadhana , vol.29 , pp. 315-327
    • Maity, D.1    Saha, A.2
  • 34
    • 1642538202 scopus 로고    scopus 로고
    • Prediction of P-wave velocity and anisotropic properties of rock using Artificial Neural Networks technique
    • SINGH, T.N., KANCHAN, R., SAIGAL, K., and VERMA, A.K. Prediction of P-wave velocity and anisotropic properties of rock using Artificial Neural Networks technique. J Sci Ind Res, vol. 63, 2004. pp. 32-8.
    • (2004) J Sci Ind Res , vol.63 , pp. 32-38
    • Singh, T.N.1    Kanchan, R.2    Saigal, K.3    Verma, A.K.4
  • 35
    • 33745218339 scopus 로고    scopus 로고
    • Prediction and analysis of blast parameters using artificial neural network
    • DOI 10.1260/095745606777630323
    • MoNJEZI, M., SINGH, T.N., KHANDELWAL, M., SINHA, S., SINGH, V., and Hosseini, I. Prediction and analysis of blast parameters using artificial neural network. Noise Vib Worldwide, vol. 37, 2006. pp. 8-16. (Pubitemid 43910988)
    • (2006) Noise and Vibration Worldwide , vol.37 , Issue.5 , pp. 8-16
    • Monjezi, M.1    Singh, T.N.2    Khandelwal, M.3    Sinha, S.4    Singh, V.5    Hosseini, I.6
  • 36
    • 55749100108 scopus 로고    scopus 로고
    • Evaluation of effect of blasting pattern parameters on back break using neural networks
    • MONJEZI, M. and DEHGHANI, H. Evaluation of effect of blasting pattern parameters on back break using neural networks. International Journal of Rock Mechanics & Mining Sciences, vol. 45, 2008. pp. 1446-1453.
    • (2008) International Journal of Rock Mechanics & Mining Sciences , vol.45 , pp. 1446-1453
    • Monjezi, M.1    Dehghani, H.2
  • 37
    • 42949131567 scopus 로고    scopus 로고
    • The prediction of size-limited structures in a coal mine using Artificial Neural Networks
    • QIANG, W., SIYUAN, Y., and JIA, Y. The prediction of size-limited structures in a coal mine using Artificial Neural Networks. International Journal of Rock Mechanics & Mining Sciences Vol. 45, 2008. pp. 999-1006.
    • (2008) International Journal of Rock Mechanics & Mining Sciences , vol.45 , pp. 999-1006
    • Qiang, W.1    Siyuan, Y.2    Jia, Y.3
  • 39
    • 19644392297 scopus 로고    scopus 로고
    • Artificial neural network approach for prediction and control of ground vibrations in mines
    • Trans. Inst Min. Metall. A September DOI 10.1179/037178404225006137
    • SINGH, T.N. Artificial neural network approach for prediction and control of ground vibrations in mines. Mining Technology (Trans. Inst Min. Metall. A) September 2004, vol. 113. pp. 251-255. DOI 10.1179/037178404225006137.
    • (2004) Mining Technology , vol.113 , pp. 251-255
    • Singh, T.N.1
  • 40
    • 33644521720 scopus 로고    scopus 로고
    • Prediction of blast induced ground vibrations and frequency in opencast mine: A neural network approach
    • KHANDELWAL, M. and SINGH, T.N. Prediction of blast induced ground vibrations and frequency in opencast mine: A neural network approach. Journal of Sound and Vibration, vol. 289, 2006. pp. 711-725.
    • (2006) Journal of Sound and Vibration , vol.289 , pp. 711-725
    • Khandelwal, M.1    Singh, T.N.2
  • 41
    • 33750492296 scopus 로고    scopus 로고
    • Evaluation of blast-induced ground vibration predictors
    • doi:10.1016/j.soildyn.2006.06.004
    • KHANDELWAL, M. AND SINGH, T.N. Evaluation of blast-induced ground vibration predictors. Soil Dynamics and Earthquake Engineering, vol. 27, 2007. pp. 116-125. doi:10.1016/j.soildyn.2006.06.004
    • (2007) Soil Dynamics and Earthquake Engineering , vol.27 , pp. 116-125
    • Khandelwal, M.1    Singh, T.N.2
  • 42
    • 69449098978 scopus 로고    scopus 로고
    • Prediction of blast-induced ground vibration using artificial neural network
    • doi:10.1016/j.ijrmms.20O9.03.004
    • KHANDELWAL, M. and SINGH, T.N. Prediction of blast-induced ground vibration using artificial neural network. Int J Rock Mech Mining Sci, 2009. doi:10.1016/j.ijrmms.20O9.03.004.
    • (2009) Int J Rock Mech Mining Sci
    • Khandelwal, M.1    Singh, T.N.2
  • 45
    • 84872548900 scopus 로고    scopus 로고
    • Early Stopping-but when?
    • Springer Berlin/Heidelberg
    • PRECHELT, L. Early Stopping-but when? Neural Networks: Tricks of the trade, Springer Berlin/Heidelberg, vol. 1524, 1998. pp. 55-69.
    • (1998) Neural Networks: Tricks of the Trade , vol.1524 , pp. 55-69
    • Prechelt, L.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.