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2021 Vol.23, Issue 6 Preview Page

Research Paper

30 November 2021. pp. 393-402
Abstract
References
1
Farrokh, E. (2018), "Introducing hard rock TBMs" downtime analysis model with reference to past case histories" data", Journal of Mining and Environment, Vol. 9, No. 2, pp. 457-472.
2
Jing, L.J., Li, J.B., Zhang, N., Chen, S., Yang, C., Cao, H.B. (2021), "A TBM advance rate prediction method considering the effects of operating factors", Tunnelling and Underground Space Technology, Vol. 107, 103620. 10.1016/j.tust.2020.103620
3
Ko, T.Y., Kim, T.K., Lee, D.H. (2019), "Statistical characteristics and rational estimation of rock TBM utilization", Tunnel and Underground Space, Vol. 29, No. 5, pp. 356-366.
4
Lee, H.L. (2020), Real-time prediction of penetration rate of shield TBM based on machine learning, Doctor of Philosophy, Inha University, pp. 6-23.
5
Tunnel Mechanized Construction Design (2008), Korean Tunnelling and Underground Space Association, CIR, Seoul, pp. 7.
Information
  • Publisher :Korean Tunneling and Underground Space Association
  • Publisher(Ko) :한국터널지하공간학회
  • Journal Title :Journal of Korean Tunnelling and Underground Space Association
  • Journal Title(Ko) :한국터널지하공간학회 논문집
  • Volume : 23
  • No :6
  • Pages :393-402
  • Received Date :2021. 09. 11
  • Revised Date :2021. 10. 13
  • Accepted Date : 2021. 10. 13