All Issue

2020 Vol.30, Issue 3 Preview Page

Research Article

June 2020. pp. 214-225


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Bruland, A., 1998, Hard Rock Tunnel Boring Vol. 3 - Advance Rate and Cutter Wear, Ph.D. Thesis, Norwegian University of Science and Technology (NTNU), Trondheim, Norway.


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Cortes, C. and Vapnik, V., 1995, Support Vector Networks, Machine Learning, 20, 273-297.


Gehring, K. 1995. Prognosis of Advance Rates and Wear for Underground Mechanized Excavations, Felsbau, 13(6), 439-448 (in German).


Hamidi, J.K. and Bejari, H., 2013, Rock Mass Classification Systems: Are They Applicable to Prediction of TBM Performance?, Conference: 3rd International Symposium and Exhibition on Underground Excavations for Transportation, Istanbul, Turkey.


Lee, H.L., Song, K.I., and Cho, G.C., 2016, Analysis on Prediction Models of TBM Performance: A Review, Journal of Korean Tunnelling and Underground Space Association, 18(2), 245-256.


Macias, F.j., 2016, Hard Rock Tunnel Boring: Performance Predictions and Cutter Life Assessments, Ph.D. Thesis, Norwegian University of Science and Technology (NTNU), Trondheim, Norway.


Rostami, J., 1997, Development of a Force Estimation Model for Rock Fragmentation with Disc Cutters through Theoretical Modeling and Physical Measurement of Crushed Zone Pressure, Ph.D. Thesis, Colorado School of Mines, Golden, Colorado, USA.


Rostami, J. and Ozdemir L., 1993, A New Model for Performance Prediction of Hard Rock TBMs, In Proceedings of Rapid Excavation and Tunneling Conference, Boston, 50, 793-809.


Vapnik, V., Golowich, S., and Smola, A., 1996, Support Method for Function Approximation Regression Estimation and Signal Processing, In Proceedings of the 9th International Conference on Neural Information Processing Systems (NIPS' 96), Cambridge, 281-287.

  • Publisher :Korean Society for Rock Mechanics and Rock Engineering
  • Publisher(Ko) :한국암반공학회
  • Journal Title :Tunnel and Underground Space
  • Journal Title(Ko) :터널과 지하공간
  • Volume : 30
  • No :3
  • Pages :214-225
  • Received Date :2020. 06. 08
  • Revised Date :2020. 06. 19
  • Accepted Date : 2020. 06. 22