Document Type : Original Research Paper

Authors

1 Faculty of Mining, Petroleum and Geophysics Engineering, Shahrood University of Technology

2 Faculty of Mining, Petroleum and Geophysics Engineering, Shahrood University of Technology, Shahrood,Iran

3 Faculty of Mining, Petroleum and Geophysics Engineering, Shahrood University of Technology, Shahrood, Iran

10.22044/jme.2025.16405.3201

Abstract

In this research, the effect of geometric parameters of closely joints on rock cutting efficiency by TBM disc cutter is studied using PFC3D software. A validated numerical model of linear cutting machine test is developed and the efficiency of disc cutter is investigated on rock mass specimens with different joint configurations (possible combination of dip angles of 30, 60, 90 degrees with joint spacings of 3, 5, 10, 15, 20 cm). Numerical modeling results reveal that in general, the joint spacing has a greater effect on rock cutting efficiency than joint orientation. If the joint spacing is less than 10 cm, the role of the joint angle is reduced and the distances between the joints control the efficiency. When the joints are close together and have a spacing of less than 10 cm, particularly 3 to 5 cm, the best cutting efficiency can be achieved for a joint angle of 90 degrees. The cutting coefficient is decreased by increasing the joint spacing and the maximum CC occurs at a joint spacing of 5 cm. For joint spacing more than 10 cm, the joints with a 90 degrees dip angle have the greatest impact on the specific energy and reduce cutting efficiency. The best disc cutter efficiency and the minimum required normal force is achieved when joint spacing is more than 10 cm and the angle between the joints and advance direction of the disc cutter is 60 degrees. In the tunnel excavation process, with increasing joint spacing, the TBM machine thrust is more important than its torque. The findings of this research provide a basis for predicting TBM efficiency through joint characteristics.

Keywords

Main Subjects

[1] Bruland, A. (1998). Hard rock tunnel boring. Vol.8: Drillability - Test methods. Doctoral Thesis, NTNU, Trondheim, Norway.
[2] Macias, F.J. (2016). Hard rock tunnel boring: Performance predictions and cutter life assessments. Doctoral thesis, NTNU, Norway.
[3] Cheema, S. (1999). Development of a rock mass boreability index for the efficiency of tunnel boring machines. Ph.D. Thesis, Colorado School of Mines, 524 p.
[4] Yagiz, S. (2008). Utilizing rock mass properties for predicting TBM efficiency in hard rock condition. Tunnelling and Underground Space Technology, 23(3): 326-339.
[5] Ramezanzadeh, A. (2005). Performance analysis and development of new models for performance prediction of hard rock TBMs in rock mass, Ph.D. Thesis, INSA, Lyon, France, p 333.
[6] Barton, N.R. (2000). TBM tunnelling in jointed and faulted rock. CRC Press, 1st edition, 184 p. ISBN-10: 9058093417. 
[7] Sapigni, M., Berti, M., Bethaz, E., Busillo, A., Cardone, G. (2002). TBM efficiency estimation using rock mass classifications. International Journal of Rock Mechanics and Mining Sciences, 39(6): 771-788.
[8] Hamidi, J.K., Shahriar, K., Rezai, B., & Rostami, J. (2010). Performance prediction of hard rock TBM using Rock Mass Rating (RMR) system. Tunnelling and Underground Space Technology, 25(4): 333-345.
[9] Armetti, G., Migliazza, M.R., Ferrari, F., Berti, A., & Padovese, P. (2018). Geological and mechanical rock mass conditions for TBM efficiency prediction, The case of “La Maddalena” exploratory tunnel, Chiomonte (Italy). Tunnelling and Underground Space Technology, 77: 115-126.
[10] Salimi, A., Rostami, J., & Moormann, C. (2017). Evaluating the suitability of existing rock mass classification systems for TBM efficiency prediction by using a regression tree. Procedia Engineering, 191: 299-309.
[11] Innaurato, N., Mancini, A., Rondena, E., & Zaninetti, A. (1991). Forecasting and effective TBM efficiencys in a rapid excavation of a tunnel in Italy. In: Proceedings of the 7th international on rock mechanics ISRM, Balkema, Aachen, Germany, 1009-1014. 
[12] Palmstrom, A. (1995). RMi-a rock mass characterization system for rock engineering purposes. Doctoral Thesis, Oslo University, Norway, 400 p.
[14] Benato, A., & Oreste, P. (2015). Prediction of penetration per revolution in TBM tunneling as a function of intact rock and rock mass characteristics. International Journal of Rock Mechanics and Mining Sciences, 74: 119-127.
[15] Yin, L., Miao, C., He, G., Dai, F., & Gong, Q. (2016). Study on the influence of joint spacing on rock fragmentation under TBM cutter by linear cutting test. Tunnelling and Underground Space Technology, 57: 137-144.
[16] Yang, H.Q., Li, Z., Jie, T.Q., & Zhang, Z.Q. (2018). Effects of joints on the cutting behavior of disc cutter running on the jointed rock mass. Tunnelling and Underground Space Technology, 81: 112-120.
[17] Gong, Q.M., Zhao, J., & Jiao, Y.Y. (2005). Numerical modeling of the effects of joint orientation on rock fragmentation by TBM cutters. Tunnelling and Underground Space Technology, 20(2): 183-191.
[18] Gong, Q.M., Jiao, Y.Y., & Zhao, J. (2006). Numerical modeling of the effects of joint spacing on rock fragmentation by TBM cutters. Tunnelling and Underground Space Technology, 21(1): 46-55.
[19] Bejari, H., Kakaie, R., Ataei, M., & Hamidi, J.K. (2011). Simultaneous effects of joint spacing and joint orientation on the penetration rate of a single disc cutter. Mining Science and Technology (China), 21(4): 507-512.
[20] Bejari, H., & Hamidi, J.K. (2013). Simultaneous effects of joint spacing and orientation on TBM cutting efficiency in jointed rock masses. Rock mechanics and rock engineering, 46(4): 897-907.
[21] Zhai, S.F., Zhou, X.P., Bi, J., & Xiao, N. (2016). The effects of joints on rock fragmentation by TBM cutters using General Particle Dynamics. Tunnelling and Underground Space Technology, 57: 162-172.
[22] Choi, S.O., & Lee, S.J. (2016). Numerical study to estimate the cutting power on a disc cutter in jointed rock mass. KSCE Journal of Civil engineering, 20: 440-451.
[23] Liu, X., Xu, M., & Qin, P. (2019). Joints and confining stress influencing on rock fragmentation with double disc cutters in the mixed ground. Tunnelling and Underground Space Technology, 83: 461-474.
[24] Xue, Y., Zhou, J., Liu, C., Shadabfar, M., & Zhang, J. (2021). Rock fragmentation induced by a TBM disc-cutter considering the effects of joints: A numerical simulation by DEM. Computers and Geotechnics, 136.
[25] Liu, B., Li, B., Zhang, L., Huang, R., Gao, H., Luo, S., & Wang, T. (2024). Disc-cutter induced rock breakage mechanism for TBM excavation in rock masses with different joint shear strengths. Underground Space, 19: 119-137.
[26] Sabri, M., Goshtasbi, K., Nejati, H., & Taheri, E. (2024). Evaluation of the effect of TBM disc cutter wear on rock cutting efficiency, Geomechanics and Tunnelling, 17 (2): 146-156.
[27] Gao, W., Liu, B., Hu, J., Feng, Y.T., Zhang, K., & Zheng, X. (2025). Numerical investigation on the fragmentation behaviour of hard rock with a pre-existing crack under TBM cutter using cohesive zone model. Engineering Fracture Mechanics, 318.
[28] Dehghani, H., & Mikhak Beiranvand, N. (2016). Estimation of penetration rate of tunnel boring machines using Monte-Carlo simulation method. Journal of Mining and Environment, 7(2): 175-184.
[29] Farrokh, E. (2018). Introducing hard rock TBMs’ downtime analysis model with reference to past case histories’ data. Journal of Mining and Environment, 9(2): 457-472.
[30] Farrokh, E. (2020). TBM Tunneling Construction Time with Respect to Learning Phase Period and Normal Phase Period. Journal of Mining and Environment, 11(2): 539-554.
[31] Nickjouye Tabrizi, A.H., Chakeri, H., Darbor, M., Amoun, S., & Shakeri, H. (2023). Evaluating the effect of tool wear in soft soil using new TBM tunneling simulator device, Journal of Testing and Evaluation, 51(6).
[32] Mousapour, H., Chakeri, H., Darbor, M., & Hekmatnejad, A. (2023). Evaluating the wear of cutting tools using a tunnel boring machine laboratory simulator, Mining of Mineral Deposits, 17(2): 28-34.
[33] Ansari, T., Chakeri, H., Darbor, M., Amoun, S., & Shakeri, H. (2024). Investigating Effect of Soil Grading Parameters on Tool Wear in Mechanized Tunneling using EPB-TBM Machine. Journal of Mining and Environment, 15(1): 301-321.
[34] Chakeri, H., Darbor, M., Shakeri, H., Mousapour, H., & Mohajeri, V. (2024). Experimental and numerical investigation of the TBM disc cutter wear using a new tunnel boring machine laboratory simulator, Heliyon, 10(17), e37148.
[35] Zahiri, M., Goshtasbi, K., Khademi Hamidi, J., & Ahangari, K. (2020). A Numerical Investigation of TBM Disc Cutter Life Prediction in Hard Rocks. Journal of Mining and Environment, 11(4): 1095-1113.
[36] Maleki, A., Chakeri, H., Shakeri, H., Khoshzaher, E., & Darbor, M. (2025). Experimental study of the effects of mechanical properties of rocks on wear of cutting tools using a new small-scale linear cutting machine (LCM). Journal of Mining and Environment.
[37] Chakeri, H., Maleki, A., Shakeri, H., Darbor, M., & Mousapour, H. (2025). Laboratory and numerical investigation of cutting tool performance using a new small-scale linear cutting machine. Scientific Reports, 15, 22337.
[38] Karami, M., Zare, S., & Rostami, J. (2022). Real-Scale Numerical Analyzing Dynamic Process of TBM Boring in Jointed Rock; a Case Study: Kerman Water Conveyance Tunnel in Iran. Journal of Mining and Environment, 13(3): 643-666.
[39] Labra, C.A., Onate, E., & Rojek, J. (2012). Advances in the development of the discrete element method for excavation processes, International center for numerical methods in engineering, First edition, Barcelona, Spain.  
[40] Xiao, N., Zhou, X.P., & Gong, Q.M. (2017). The modelling of rock breakage process by TBM rolling cutters using 3D FEM-SPH coupled method. Tunnelling and Underground Space Technology, 61: 90-103.
[41] Xia, Y.M., Guo, B., Cong, G.Q., Zhang, X.H., & Zeng, G.Y. (2017). Numerical simulation of rock fragmentation induced by a single TBM disc cutter close to a side free surface. International Journal of Rock Mechanics and Mining Sciences, 91: 40-48.
[42] Gertsch, R., Gertsch, L., & Rostami, J. (2007). Disc cutting tests in Colorado Red Granite: Implications for TBM efficiency prediction. International Journal of Rock Mechanics and Mining Sciences, 44(2): 238-246.
[43] Chang, S.H., Choi, S.W., Bae, G.J., & Jeon, S. (2006). Performance prediction of TBM disc cutting on granitic rock by the linear cutting test. Tunnelling and Underground Space Technology, 21(3): 271-271.
[44] Choi, S.O., & Lee, S.J. (2015). Three-dimensional numerical analysis of the rock-cutting behavior of a disc cutter using particle flow code. KSCE Journal of Civil engineering, 19: 1129-1138.
[45] Gertsch, R., & Ozdemir, L. (1991). Performance prediction of mechanical excavators in Yucca Mountain welded tuffs from linear cutting tests. SAND91-7038, Albuquerque, New Mexico: Sandia National Laboratories.
[46] Gong, Q.M., & Zhao, J. (2009). Development of a rock mass characteristics model for TBM penetration rate prediction. International Journal of Rock Mechanics and Mining Sciences, 46(1): 8-18.
[47] Afrasiabi, N., Rafiee, R., & Noroozi, M. (2019). Investigating the effect of discontinuity geometrical parameters on the TBM performance in hard rock. Tunnelling and Underground Space Technology, 84: 326-33.