Prediction of Blast-Induced Ground Vibration Using Support Vector Machine by Tunnel Excavation

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Beijing East Road No.1 tunnel in Guiyang city has the most complexity in arround, so prediction and control the blasting vibration is the most important task. In order to improve the accuracy of the prediction of the blasting vibration to mitigate the possible hazard in tunnel construction, studied on method of predicting peak particle velocity (PPV) using support vector machine (SVM) and established regression prediction model based on SVM. Comparisons between the predicted PPV using the empirical equation regression and SVM was made, find that the SVM gives much better prediction of PPV than does the empirical equation regression.

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1414-1418

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May 2012

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© 2012 Trans Tech Publications Ltd. All Rights Reserved

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[1] Sanchidrián J A, Segarra P, López L M: International Journal of Rock Mechanics and Mining Sciences Vol. 44(2007), p.130

Google Scholar

[2] Umit Ozer: Engineering Geology Vol. 100 (2008), p.82

Google Scholar

[3] Cengiz Kuzu, Erim Guclu: Tunnelling and Underground Space Technology Vol. 24 (2009), p.53

Google Scholar

[4] R. Nateghi, M. Kiany, O. Gholipouri. Tunnelling and Underground Space Technology Vol. 24 (2009), p.608

DOI: 10.1016/j.tust.2009.04.004

Google Scholar

[5] Mostafa Tantawy Mohamed: International Journal of Rock Mechanics and Mining Sciences Vol. 46 (2009), p.426

Google Scholar

[6] M. Monjezi, M. Ghafurikalajahi, A. Bahrami: Tunnelling and Underground Space Technology Vol. 26 (2011), p.46

DOI: 10.1016/j.tust.2010.05.002

Google Scholar

[7] Manoj Khandelwal: International Journal of Rock Mechanics and Mining Sciences Vol. 47 (2010), p.509

Google Scholar

[8] M. Khandelwal: Engineering with Computers Vol. 27 (2011), p.193

Google Scholar

[9] Manoj Khandelwal, T. N. Singh: Journal of Sound and Vibration Vol. 289 (2006), p.711

Google Scholar

[10] Naiyang Deng, Yingjie Tian: New Method for Data Mining: Support Vector Machine (Science Press, Beijing 2004).In Chinese

Google Scholar

[11] Vladimir N. Vapnik: The Nature of Statistical Learning Theory (Springer Verlag, Inc, New York 2000)

Google Scholar

[12] Nianhua Yang, Zhiyi Zhang: Journal of Railway Engineering Society Vol. 1 (2010), p.82. In Chinese

Google Scholar