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Geomechanics and Engineering
  Volume 22, Number 6, September25 2020 , pages 489-496

Prediction of TBM performance based on specific energy
Kyoung-Yul Kim, Seon-Ah Jo, Hee-Hwan Ryu and Gye-Chun Cho

    This study proposes a new empirical model to effectively predict the excavation performance of a shield tunnel boring machine (TBM). The TBM performance is affected by the geological and geotechnical characteristics as well as the machine parameters of TBM. Field penetration index (FPI) is correlated with rock mass parameters to analyze the effective geotechnical parameters influencing the TBM performance. The result shows that RMR has a more dominant impact on the TBM performance than UCS and RQD. RMR also shows a significant relationship with the specific energy, which is defined as the energy required for excavating the unit volume of rock. Therefore, the specific energy can be used as an indicator of the mechanical efficiency of TBM. Based on these relationships with RMR, this study suggests an empirical performance prediction model to predict FPI, which can be derived from the correlation between the specific energy and RMR.
Key Words
    TBM performance prediction; FPI; specific energy; RMR; regression analysis
Kyoung-Yul Kim, Seon-Ah Jo and Hee-Hwan Ryu: Structural and Seismic Technology Group, Next Generation Transmission & Substation Laboratory, KEPCO Research Institute(KEPRI),
105 Munji-ro, Yuseong-gu, Daejeon 34056, Republic of Korea

Gye-Chun Cho: Department of Civil and Environmental Engineering, Korea Advanced Institute of Science and Technology(KAIST),291 Daehak-ro, Yuseong-gu, Daejeon 34141, Republic of Korea


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