Wilfing, L. (2016). The Influence of Geotechnical Parameters on Penetration Prediction in TBM Tunnelling Hard Rock. Tehnische chnische university MÜNCHEN.
 Entacher, M. (2013). Measurement and interpretation of disc cutting forces in mechanized tunneling. Thesis, Technische Universität München.  Gong, Q., Zhao, J. (2005). Numerical modeling of the effects of joint orientation on rock Fragmentation by TBM cutters. Tunnelling and underground space technology, Vol 20, PP I3-191.
 Paltrinieri, E. (2015). Analysis of TBM tunnelling performance in faulted and highly fractured rocks. Doctor of Philosophy thesis, EPFL.
 Sungong, C., Seungoong, L. (2015). Numerical Study to Estimate the Cutting Power on a Disc Cutter in Jointed Rock Mass. KSCE Journal of Civil Engineering.
 Gong, R., Jiao, Y. (2006). Numerical simulation of influence of joint spacing on rock Fragmentation by TBM cutters. Tunnelling and Underground Space Technology, 21 (1), 46–55.
 Sharifzadeh, M., Iranzadeh, A. (2009). Threedimensional numerical modelling of joint spacing and orientation effects on rock cutting process by a single TBM. Published in CIM Magazine, Vol 4, No 6.
 Bejari, H., Ataei, M., Khademi, J. (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.
 Bejari, H., Khademi, J. (2013). Simultaneous Effects of Joint Spacing and Orientation on TBM Cutting Efficiency in Jointed Rock Masses. Rock Mech Rock Eng, 46, 897–907.
 SOI Company. (2016). Engineering geological report of Kerman water conveyance tunnel. Unpublished report.  Bruland, A. (1998). Hard Rock Tunnel Boring. Doctoral Thesis, Norwegian Institute of Technology, Trondheim
 Macias, F. (2016). Hard Rock Tunnel Boring Performance Predictions and Cutter Life Assessments. Thesis for the degree of Philosophiae Doctor, Norwegian University of Science and Technology.
 Bieniawski, Z.T. (1984). Rock mechanics design in mining and tunneling. A.A. Balkema, Rotterdam, 272 p.  Barton, N. (2000). TBM Tunneling in Jointed and Fault Rock. Rotterdam: Balkema
 Yagiz, S. (2002). Development of rock fracture and brittleness indices to quantify the effects of rock mass features and toughness of the CMS model basic penetration for hard rock tunnel machines. Thesis Doctor of Philosophy, CSM.
 Yagiz, S. (2008). Utilizing rock mass properties for predicting TBM performance in hard rock conditions. Tunnel Underground Space Technology, 23(3):326–39.
 Ramezanzadeh, A., Rostami, J., Tadic, D. (2005). Influence of rock mass properties on Performance of hard rock TBMs. RETC PROCEEDINGS, Chapter 56.
 Ramezanzadeh, A., Rostami, J., Tadic, D. (2008). Effect of Rock Mass Characteristics on Hard Rock Tunnel Boring Machine Performance. 13th Australian Tunnelling Conference, Melbourne, VIC, 4 - 7 May.
 Gong, QM., Zhao, J. (2009). Development of a rock mass characteristics model for TBM penetration rate prediction. Int J Rock Mech Mining Sci 46(1):8–18.
 Khademi, J., Shahriar, K., Rezai, B., Rostami, J. (2010). Performance prediction of hard rock TBM using Rock Mass Rating (RMR) system. Tunnelling and Underground Space Technology, No. 25, pp. 333–345.
 Hassanpour, J. (2010). Analysis of actual TBM performance in Ghomrood project. Bulletin of Iranian Tunneling Association, No. 9, (article in Persian).
 Hassanpour, J., Rostami, J., Zhao, J. (2011). A new hard rock TBM performance prediction model for project planning. Tunnelling and Underground Space Technology, No. 26, pp. 595–603.
 Farrokh, E. (2012). Study of utilization factor and advance rate of hard rock TBMS. Doctor of Philosophy, Pennsylvania State University.
 Zare Naghadehi1, M., Ramezanzadeh, A. (2016). Models for estimation of TBM performance in granitic and mica gneiss hard rocks in a hydropower tunnel. Bull Eng Geol Environ.
 Rasouli, M. (2018). Rock Joint Rate (RJR); a new method for performance prediction of tunnel boring machines (TBMs) in hard rocks. Tunnelling and Underground Space Technology, 73 261–286.