حسن پور، ج.، 1388. بررسی تأثیرپارامترهای زمین شناسی مهندسی برعملکردماشین حفارتمام مقطع واصلاح مدلهای پیشبینی، رساله دکتری، دانشگاه تربیت مدرس، تهران، ایران.
مهندسین مشاور ساحل، 1386. گزارشات زمینشناسی و زمینشناسی مهندسی تونل انتقال آب زاگرس (قطعه دوم)، منتشر نشده.
Barton, N., 2000. TBM Tunneling In Jointed and Faulted Rock. Balkema, Rotterdam, 173.
Bruland, A., 1998. Hard rock tunnel boring, vol.1-10, ph.D.thesis, Norwegian university of science and technology (NTNU), Trondheim, Norway.
Blindheim, O.T., (1979) Boreability Predictions for Tunneling. Ph.D. Thesis, Department of Geological Engineering, Norwegian Institute of Technology, p. 406.
Cheema, S., 1999. Development of a Rock Mass Boreability Index for the Performance of Tunnel Boring Machines. Doctoral Dissertation, Department of Mining Engineering, Colorado School of Mines, Golden, CO, USA.
Delisio A, Zhao, J., 2014. A new model for TBM performance in blocky rock conditions. Int J Tunn Undergr Space Technol 43:440–452
Palmstrom, A.1995. RMi-a rock mass characterization system for rock engineering purposes'', chapter7, PhD thesis, Oslo University, Norway.
Farmer, I.W. and Glossop, N.H., 1980. Mechanics of disc cutter penetration, Tunnels and Tunneling 12(6), pp. 22-25.
Hassanpour, J., Rostami, J., Khamehchiyan, M., Bruland, A., 2009. Development new equations for performance prediction. Geo Mechanics and Geoengineering: An International Journal 4 (4), 287–297.
Hassanpour, J., Rostami, J., Khamehchiyan, M., Bruland, A., Tavakoli, H.R., 2010. TBM performance analysis in pyroclastic rocks, a case history of Karaj Water Conveyance Tunnel (KWCT). Journal of Rock mechanics and Rock Engineering 4, 427–445.
Hassanpour, J., Rostami, J., Zhao., J, 2011. A new hard rock TBM performance prediction model for project planning. Tunn Undergr Space Technol 26:595–603.
Nelson, P,. O’Rourke, TD,. Kulhawy, FH,. 1983. Factors affecting TBM penetration rates in sedimentary rocks. In: Proceedings, 24th US symposium on rock mechanics, Texas A&M, College Station, TX, p 227–237.
Ozdemir, L., 1977.Development of Theoretical equations for predicting Tunnel boreability. phD, Thesis, T-1969,Colorado school of mines, Golden Co.,1977.
Ozdemir, L., Miller, R.J. and Wang, F.D., 1978. Mechanical Tunnel Boring Prediction and Machin Design,'' NSF APR73-07776-A03, Colorado Scool of Mines, Golen Co, USA.
Ramezanzadeh, A., 2005. Performance analysis and Development of new models for performance prediction of hard rock TBMs in rock mass. phD. Thesis, INSA, Lyon, France (unpublished).
Rostami, J., Ozdemir, L., Nilsen, B., 1996. Comparison between CSM and NTH hard rock TBM performance prediction models. In: Proceedings, The Annual Conference of the Institution of Shaft Drilling Technology (ISDT), Las Vegas, p.11.
Rostami, J., 1997. Development of a force estimation model for rock fragmentation with disccutters through theoretical modeling and physical measurement of crushed zone pressure, Ph. D.thesis, Colorado School of Mines, Golden, Colorado, USA, P. 249.
Rostami, J., 2008. Hard rock TBM cutterhead modeling for design and performance prediction. Geomechanik und Tunnelbau, Ernst & Sohn, (Austrian Journal of Geotechnical Eng.), January 2008.
Salimi, A., Faradonbeh, RS., Monjezi, M., Moormann, C., 2016a. TBM performance estimation using a classification and regression tree (CART) technique. Int J Bull Eng Geol Environ. doi:10.1007/s10064-016-0969-0.
Salimi, A., Rostami, J., Moormann, C., Delisio, A., 2016b. Application of non-linear regression analysis and artificial intelligence algorithms for performance prediction of hard rock TBMs. Int J Tunn Undergr Space Technol 58:236–246.
Sato, K., Gong, F., Itakura, K., 1991. Prediction of disc cutter performance using a circular rock cutting ring. In: Proceedings, The first International Mine Mechanization and Automation Symposium, Colorado School of Mines, Golden, Colorado, USA.
Sanio, H.P., 1985. Prediction of the performance of disc cutters in anisotropic rock. Int. J. Rock Mech. Min. Sci. Geomech. Abstr. 22, 153–161.
Yagiz S., 2002.Development of rock fracture and brittle enessindices to quantify the effects of rock mass features and toughness in the CSM model basic penetration for hard rock tunneling machines. phD. Thesis, Department of Mining and Earth systems Engineering, Colorado school of Mines, Golden, Colorado, USA, p 289.