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Development of a TBM Advance Rate Model and Its Field Application Based on Full-Scale Shield TBM Tunneling Tests in 70 MPa of Artificial Rock Mass

70 MPa급 인공암반 내 실대형 쉴드TBM 굴진실험을 통한 굴진율 모델 및 활용방안 제안

  • Kim, Jungjoo (KEPCO Research Institute, Korea Electric Power Corporation) ;
  • Kim, Kyoungyul (KEPCO Research Institute, Korea Electric Power Corporation) ;
  • Ryu, Heehwan (KEPCO Research Institute, Korea Electric Power Corporation) ;
  • Hwan, Jung Ju (KEPCO Research Institute, Korea Electric Power Corporation) ;
  • Hong, Sungyun (KEPCO Research Institute, Korea Electric Power Corporation) ;
  • Jo, Seonah (KEPCO Research Institute, Korea Electric Power Corporation) ;
  • Bae, Dusan (KEPCO Research Institute, Korea Electric Power Corporation)
  • Received : 2020.02.05
  • Accepted : 2020.05.12
  • Published : 2020.09.30

Abstract

The use of cable tunnels for electric power transmission as well as their construction in difficult conditions such as in subsea terrains and large overburden areas has increased. So, in order to efficiently operate the small diameter shield TBM (Tunnel Boring Machine), the estimation of advance rate and development of a design model is necessary. However, due to limited scope of survey and face mapping, it is very difficult to match the rock mass characteristics and TBM operational data in order to achieve their mutual relationships and to develop an advance rate model. Also, the working mechanism of previously utilized linear cutting machine is slightly different than the real excavation mechanism owing to the penetration of a number of disc cutters taking place at the same time in the rock mass in conjunction with rotation of the cutterhead. So, in order to suggest the advance rate and machine design models for small diameter TBMs, an EPB (Earth Pressure Balance) shield TBM having 3.54 m diameter cutterhead was manufactured and 19 cases of full-scale tunneling tests were performed each in 87.5 ㎥ volume of artificial rock mass. The relationships between advance rate and machine data were effectively analyzed by performing the tests in homogeneous rock mass with 70 MPa uniaxial compressive strength according to the TBM operational parameters such as thrust force and RPM of cutterhead. The utilization of the recorded penetration depth and torque values in the development of models is more accurate and realistic since they were derived through real excavation mechanism. The relationships between normal force on single disc cutter and penetration depth as well as between normal force and rolling force were suggested in this study. The prediction of advance rate and design of TBM can be performed in rock mass having 70 MPa strength using these relationships. An effort was made to improve the application of the developed model by applying the FPI (Field Penetration Index) concept which can overcome the limitation of 100% RQD (Rock Quality Designation) in artificial rock mass.

전력송전을 위한 터널식 전력구는 점차 시공실적이 증가하고 있는 추세이며, 해저 및 대심도 등 시공환경이 어려운 구간의 건설도 증가하고 있다. 이에 소단면 쉴드TBM의 효율적 운영을 위해 굴진율 및 설계모델이 필요하다. 그러나, 제한된 지반조사 회수 및 굴착면 맵핑으로 인하여 암반특성과 굴진데이터를 정확히 매칭시켜 상호간 상관관계 및 굴진율 모델을 도출하는데 어려움이 있다. 이에 소단면 쉴드TBM에 적합한 굴진율 및 설계모델을 제시하기 위하여 커터헤드의 직경이 3.56 m인 실험용 EPB 쉴드TBM을 제작하고, 총 부피 87.5 ㎥인 인공암반 내에서 총 19번의 실대형 굴진실험을 수행하였다. 본 실험은 70MPa의 균질한 암반강도에서 수행되었기 때문에 운전변수인 추력과 커터헤드의 RPM에 따른 굴진율과 기계데이터간 상관관계를 효율적으로 분석할 수 있으며, 실제 굴착메커니즘과 동일하기 때문에 도출된 압입깊이와 토크값은 활용성이 높다. 본 연구를 통해 디스크커터 당 연직력과 압입깊이의 상관관계 및 연직력과 회전력의 상관관계를 도출하였다. 이러한 상관관계들을 이용하여 70 MPa급 암반에 대해 굴진율 예측과 TBM 설계가 가능할 것으로 판단한다. 또한, 인공암반의 RQD가 100%로 현장적용에 대한 한계점에 대해 FPI의 개념을 도입하여 굴진율 모델의 활용성을 증대시키고자 하였다.

Keywords

References

  1. Kim, K.Y., Bae, D.S., Jo, S.A., Ryu, H.H., "Suggestion of Empirical Formula Between FPI and Specific Energy Through Analysis of Subsea Tunnel Excavation Data," Journal of Korean Tunneling and Underground Space Association, Vol. 20, No. 4, pp. 687-699, 7, 2018, DOI: 10.9711/KTAJ.2018.20.4.687.
  2. Jo, S.A., Kim, K.Y., Ryu, H.H., Cho, G.C., "Study on the Effective Parameters and a Prediction Model of the Shield TBM Performance," Journal of Korean Tunneling and Underground Space Association, Vol. 21, No. 3, pp. 347-362, 5, 2019, DOI: 10.9711/KTAJ.2019.21.3.347.
  3. Rostami, J., Ozdemir, L., "A new model for performance prediction of hard rock TBMs," in Proceeding of rapid excavation and tunneling conference, Boston, pp. 793-809, 1993.
  4. Rostami, J., "Development of a Force Estimation Model for Rock Fragmentation with Disc Cutters Through Theoretical Modeling and Physical Measurement of Crushed Zone Pressure", Ph.D. Dissertation, Department of Mining Engineering, Colorado School of Mines, USA, 1997.
  5. Rostami, J., "Study of Pressure Distribution Within the Crushed Zone in the Contact Area Between Rock and Disc Cutters", International Journal of Rock Mechanics & Mining Science, Vol. 57, pp. 172-186, 1, 2013, https://doi.org/10.1016/j.ijrmms.2012.07.031.
  6. Bruland, A., "Hard Rock Tunnel Boring: The Boring Process", Ph.D. Dissertation, Department of Building and Construction Engineering, Norwegian University of Science and Technology, Norway, 2000.
  7. Chang, S.H., Choi, S.W., Lee, G.P., Bae, G.J., "Rock TBM Design Model Derived from the Multi-Variate Regression Analysis of TBM Driving Data," Journal of Korean Tunneling and Underground Space Association, Vol. 13, No. 6, pp. 531-555, 1, 2011.
  8. Chang, S.H., Choi, S.W., Lee, G.P., Bae, G.J., "Statistical Analysis of NTNU Test Results to Predict Rock TBM Performance," Journal of Korean Tunneling and Underground Space Association, Vol. 13, No. 3, pp. 243-260, 5, 2011.
  9. Peng, X., Liu, Q., Pan, Y., Lei, G., Wei, L., Luo, C., "Study on the Influence of Different Control Modes on TBM Disc Cutter Performance by Rotary Cutting Tests", Rock Mechanics and Rock Engineering, Vol. 51, Issue. 3, pp. 961-967, 3, 2018, DOI: 10.1007/s00603-017-1368-y.
  10. Geng, Q., Wei, Z., Meng, H., Macias F.J., "Mechanical Performance of TBM in Mixed Rock Ground Conditions," Tunneling and Underground Space Technology, Vol. 57, pp. 76-84, 8, 2016, DOI: 10.1016/j.tust.2016.02.012.
  11. Kim, K.Y., Kim, J.J., Ryu, H.H., Hafeezur, R., Turab, H.J., Yoo, H.K., Ha, S.G., "Estimation method for TBM cutterhead drive design based on fullscale tunneling tests for application in utility tunnels," Applied Sciences", Vol. 10, Issue. 15, pp.1-20, 7, 2020, DOI: 10.3390/app10155187.
  12. Jing, L.J., Li, J.B., Yang, C., Chen, S., Zhang, N., Peng, X.X., "A Case Study of TBM Performance Prediction Using Field Tunneling Tests in Limestone Strata," Tunneling and Underground Space Technology, Vol. 83, pp. 364-372, 1, 2019, DOI: 10.1016/j.tust.2018.10.001.
  13. Hassanpour, J., Rostami, J., Zhao, J., "A New Hard Rock TBM Performance Prediction Model for Project Planning", Tunneling and Underground Space Technology, Vol. 26, Issue. 5, pp. 595-603, 9, 2011, DOI: 10.1016/j.tust.2011.04.004.