Document Type : Original Research Paper


1 Department of Mining Engineering, Science and Research Branch, Islamic Azad University, Tehran, Iran

2 Department of Mining Engineering, Faculty of Engineering, Tarbiat Modares University, Tehran, Iran


There is a direct relationship between the efficiency of mechanized excavation in hard rocks and that of disc cutters. Disc cutter wear is an important effective factor involved in the functionality of tunnel boring machines. Replacement of disc cutters is a time-consuming and costly activity that can significantly reduce the TBM utilization and advance rate, and has a major effect on the total time and cost of the tunneling projects. When these machines bore through hard rocks, the cutter wear considerably affects the excavation process. To evaluate the performance of the cutters, first, it is essential to figure out how they operate the rock cutting mechanism; secondly, it is important to identify the key factors that cause the wear. In this work, we attempt to introduce a comprehensive numerical method for estimation of disc cutter wear. The field data including the actual cutter wear more than 1000 pieces and the geological parameters along the Kani-Sib transmission tunnel in the northwest of Iran are compiled in a special database that is subjected to a statistical analysis in order to reveal the genuine wear rule. The results obtained from the numerical method indicate that with an increase in the wear of disk cutter up to 25 mm, the applied normal and rolling forces can be multiplied by 2.9 and 2.7, respectively, and by passing the critical wear, the disk cutters lose their optimal performance. This method also shows that confining pressure will increase the wear of the disc cutter. By the proposed formulation, the cutter consumption rate can be predicted with a high accuracy.


[1]. Bruland, A. (2000). Hard rock tunnel boring, Fakultet for ingeniørvitenskap og teknologi.
[2]. 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, in, Colorado School of Mines Golden.
[3]. Hassanpour, J., Rostami, J. and Zhao, J. (2011). A new hard rock TBM performance prediction model for project planning, Tunnelling and Underground Space Technology, 26 595-603, doi: j.tust.2011.04.004.
[4]. Maeda, M. and Kushiyama, K. (2005). Use of compact shield tunneling method in urban underground construction, Tunnelling and Underground Space Technology, 20 159-166, doi: j.tust.2003.11.008.
[5]. Roby, J., Sandell, T., Kocab, J. and Lindbergh, L. (2008). The current state of disc cutter design and development directions, in  proceeding of 2008 North American Tunneling Conference, SME C, Citeseer, pp. 36-45.
[6]. Tóth, Á., Gong, Q. and Zhao, J. (2013). Case studies of TBM tunneling performance in rock–soil interface mixed ground, Tunnelling and Underground Space Technology, 38 140-150, doi: j.tust.2013.06.001.
[7]. SU, P.c., WANG, W.s., HUO, J.z. and LI, Z. (2010). Optimal Layout Design of Cutters on Tunnel Boring Machine [J], Journal of Northeastern University (Natural Science), 6 877-881.
[8]. Wan, Z., Sha, M. and Zhou, Y. (2002). Study on disc cutters for hard rock (1)-application of TB880E TBM in Qinling tunnel, Modern tunn Technol, 39 1-11, doi: 10.13807/j.cnki.mtt.2002.05.001.
[9]. Schneider, E., Thuro, K. and Galler, R. (2012). Forecasting penetration and wear for TBM drives in hard rock–Results from the ABROCK research project, Geomechanics and Tunnelling, 5 537-546, doi: 10.1002/geot.201200040.
[10]. Plinninger, R.J. (2010). Hardrock abrasivity investigation using the Rock Abrasivity Index (RAI), Williams, et al. (Eds.), Geologically Active, Taylor & Francis, London,  34453452.
[11]. Gehring, K. (1995). Prognosis of advance rates and wear for underground mechanized excavations, Felsbau, 13 439-448.
[12]. Hassanpour, J., Rostami, J., Tarigh Azali, S. and Zhao, J. (2014). Introduction of an empirical TBM cutter wear prediction model for pyroclastic and mafic igneous rocks; a case history of Karaj water conveyance tunnel, Iran, Tunnelling and Underground Space Technology, 43 222-231.
[13]. Liu, Q., Liu, J., Pan, Y., Zhang, X., Peng, X., Gong, Q. and Du, L. (2017). A Wear Rule and Cutter Life Prediction Model of a 20-in. TBM Cutter for Granite: A Case Study of a Water Conveyance Tunnel in China, Rock Mechanics and Rock Engineering, 50 1303-1320, doi: 10.1007/s00603-017-1176-4.
[14]. Frenzel, C., Käsling, H. and Thuro, K. (2008). Factors Influencing Disc Cutter Wear, Geomechanics and Tunnelling, 1 55-60, doi: 10.1002/geot.200800006.
[15]. Yang, H., Wang, H. and Zhou, X. (2016). Analysis on the Rock–Cutter Interaction Mechanism During the TBM Tunneling Process, Rock Mechanics and Rock Engineering, 49 1073-1090, doi: 10.1007/s00603-015-0796-9.
[16]. Park, G.I., Jang, S.H., Choe, S.U. and Jeon, S.W. (2006). Prediction of the optimum cutting condition of TBM disc cutter in Korean granite by the linear cutting test, in:  Proceedings of the Korean Society for Rock Mechanics conference, Korean Society for Rock Mechanics.
[17]. Gong, Q.M., Jiao, Y.Y. and Zhao, J. (2006). Numerical modelling of the effects of joint spacing on rock fragmentation by TBM cutters, Tunnelling and Underground Space Technology, 21 46-55, doi:
[18]. Gong, Q.M., Zhao, J. and Hefny, A.M. (2006). Numerical simulation of rock fragmentation process induced by two TBM cutters and cutter spacing optimization, Tunnelling and Underground Space Technology, 21 263, doi: j.tust.2005.12.124.
[19]. Gong, Q.-M., Zhao, J. and Jiao, Y.Y. (2005). Numerical modeling of the effects of joint orientation on rock fragmentation by TBM cutters, Tunnelling and Underground Space Technology, 20 183-191, doi:
[20]. Eftekhari, M., Baghbanan, A. and Bagherpour, R. (2014). The effect of fracture patterns on penetration rate of TBM in fractured rock mass using probabilistic numerical approach, Arabian Journal of Geosciences, 7 5321-5331, doi: 10.1007/s12517-013-1070-7.
[21]. Li, X.F., Li, H.B., Liu, Y.Q., Zhou, Q.C. and Xia, X. (2016). Numerical simulation of rock fragmentation mechanisms subject to wedge penetration for TBMs, Tunnelling and Underground Space Technology, 53 96-108, doi:
[22]. Su, O. and Ali Akcin, N. (2011). Numerical simulation of rock cutting using the discrete element method, International Journal of Rock Mechanics and Mining Sciences, 48 434-442, doi: 10.1016/j.ijrmms.2010.08.012
[23]. Mendoza Rizo, J.A. (2013). Considerations for discrete element modeling of rock cutting, in University of Pittsburgh, Pittsburgh, PA.
[24]. Cho, J.W., Jeon, S., Yu, S.H. and Chang, S.H. (2010). Optimum spacing of TBM disc cutters: A numerical simulation using the 3D dynamic fracturing method, Tunnelling and Underground Space Technology, 25 230-244, doi: j.tust.2009.11.007.
[25]. Menezes, P.L., Lovell, M.R., Avdeev, I.V. and Higgs, C.F. (2014). Studies on the formation of discontinuous rock fragments during cutting operation, International Journal of Rock Mechanics and Mining Sciences, 71 131-142, doi: j.ijrmms.2014.03.019.
[26]. Jaime, M.C., Zhou, Y., Lin, J.S. and Gamwo, I.K. (2015). Finite element modeling of rock cutting and its fragmentation process, International Journal of Rock Mechanics and Mining Sciences, 80 137-146, doi:
[27]. Yu, B. (2005). Numerical simulation of continuous miner rock cutting process, in College of Engineering and Mineral Resources, West Virginia University Libraries, Morgantown, WV.
[28]. Ewendt, D. (1992). Erfassung der Gesteinsabrasivität und Prognose des Werkzeugverschleißes beim maschinellen Tunnelvortrieb mit Diskenmeißeln, Kurzberichte aus der Bauforschung, 33.
[29]. Wijk, G. (1992). A model of tunnel boring machine performance, Geotechnical & Geological Engineering, 10 19-40, doi: 10.1007/BF00881969.
[30]. Nelson, P., Al-Jalil, Y.A. and Laughton, C. (1994). Tunnel boring machine project data bases and construction simulation, Geotechnical Engineering Center Report GR,  94-94.
[31]. Dahl, F., Grøv, E. and Breivik, T. (2007). Development of a new direct test method for estimating cutter life, based on the Sievers’ J miniature drill test, Tunnelling and Underground Space Technology, 22 106-116, doi:
[32]. Maidl, B., Schmid, L., Ritz, W. and Herrenknecht, M. (2008). Hardrock tunnel boring machines, John Wiley & Sons.
[33]. Bieniawski, Z., Celada, B., Galera, J., Tardáguila, I., 2009, Prediction of cutter wear using RME, in:  Proc, ITA Congress. Budapest.
[34]. Wang, L., Kang, Y., Cai, Z., Zhang, Q., Zhao, Y., Zhao, H. and Su, P. (2012). The energy method to predict disc cutter wear extent for hard rock TBMs, Tunnelling and Underground Space Technology, 28 183-191, doi:
[35]. Yang, Y., Chen, K., Li, F. and Zhou, J. (2015). Wear prediction model of disc cutter, J China Coal Soc, 40 1290-1296, doi: 10.13225/j.cnki.jccs.2014.3037.
[36]. Macias, F.J. (2016). Hard rock tunnel boring: performance predictions and cutter life assessments.
[37]. Johnson, K.L. (1985). Contact Mechanics, Cambridge University Press, Cambridge.
[38]. Goryacheva, I.G. and Goryachev, A.P. (2006). The wear contact problem with partial slippage, Journal of Applied Mathematics and Mechanics, 70 934-944, doi:
[39]. Li, F.H., Cai, Z.X. and Kang, Y.L. (2011). A Theoretical Model for Estimating the Wear of the Disc Cutter, Applied Mechanics and Materials, 90-93 2232-2236, doi: 10.4028/
[40]. Roxborough, F.F. and Phillips, H.R. (1975). Rock excavation by disc cutter, International Journal of Rock Mechanics and Mining Sciences & Geomechanics Abstracts, 12 361-366, doi:
[41]. Bandini, A., Paolo, B., Bemporad, E., Sebastiani, M. and Chicot, D. (2014). Role of grain boundaries and micro-defects on the mechanical response of a crystalline rock at multiscale, International Journal of Rock Mechanics and Mining Sciences, 71 429-441, doi:
[42]. Massart, T.J. and Selvadurai, A.P.S. (2014). Computational modelling of crack-induced permeability evolution in granite with dilatant cracks, International Journal of Rock Mechanics and Mining Sciences, 70 593-604, doi:
[43]. Simonovski, I. and Cizelj, L. (2011). Computational multiscale modeling of intergranular cracking, Journal of Nuclear Materials, 414 243-250, doi: 10.1016/j.jnucmat.2011.03.051.
[44]. Wu, Z. and Wong, L.N.Y. (2012). Frictional crack initiation and propagation analysis using the numerical manifold method, Computers and Geotechnics, 39 38-53, doi:
[45]. Efendiev, Y. and Hou, T.Y. (2009). Multiscale finite element methods: theory and applications, Springer Science & Business Media.
[46]. Norouzi, S., Baghbanan, A. and Khani, A. (2013). Investigation of Grain Size Effects on Micro/Macro-Mechanical Properties of Intact Rock Using Voronoi Element—Discrete Element Method Approach, Particulate Science and Technology, 31 507-514, doi: 10.1080/02726351.2013.782929.
[47]. Cho, J.W., Jeon, S., Jeong, H.Y. and Chang, S.H. (2013). Evaluation of cutting efficiency during TBM disc cutter excavation within a Korean granitic rock using linear-cutting-machine testing and photogrammetric measurement, Tunnelling and Underground Space Technology, 35 37-54, doi: j.tust.2012.08.006.
[48]. Richard, T. (1999). Determination of rock strength from cutting tests, in, University of Minnesota.
[49]. Rostami, J. and Ozdemir, L. (1993). A new model for performance prediction of hard rock TBMs, in:  Proceedings of Rapid Excavation and Tunnelling Conference, USA, pp. 794–809.
[50]. Tumac, D. and Balci, C. (2015). Investigations into the cutting characteristics of CCS type disc cutters and the comparison between experimental, theoretical and empirical force estimations, Tunnelling and Underground Space Technology, 45 84-98, doi: j.tust.2014.09.009.
[51] Bilgin, N., 1977, Investigations into the mechanical cutting characteristics of some medium and high strength rocks, in, University of Newcastle Upon Tyne, UK, pp. 332.