1 Graham P C. Rock Exploration for machine manufacturers，in explora- tion for rock engineering[A]. In：Bieniawski Z T ed. Proceedings of the Symposium[C]. Rotterdam：A. A. Balkema，1976，173～180
2 Farmer I W，Glossop N H. Mechanics of disc cutter penetration[J]. Tunnels and Tunnelling，1980，12：622～625
3 Hughes H M. The relative cuttability of coal measures rock[J]. Mining Science and Technology，1986，3：95～109
4 Nelson P P. Tunnel boring machine performance in sedimentary rock[Doctorate Dissertation][D]. USA：The Graduate School of Cornelll University，1983
5 O¢Rourke J E，Spring J E，Coudray S V. Geotechnical parameters and tunnel boring machine performance at Goodwill Tunnel，California[A]. In：Nelson，Laubach eds. Rock Mechanics Models and Measurements Challenges from Industry，Proc. of the 1st North American Rock Mechanics Symposium，The University of Texas at Austin[C]. Rotterdam：A. A. Balkema，1994
6 Rostami J. Development of a force estimation model for rock fragmentation with disc cutters through theoretical modeling and physical measurement of crushed zone pressure [Doctorate Dissertation][D]. Golden，Colorado，USA：Dept. of Mining Engineering，Colorado School of Mines，1997
7 Cheema S. Development of a rock mass boreability index for the performance of tunnel boring machines[Doctorate Dissertation][D]. Golden，Colorado，USA：Dept. of Mining Engineering，Colorado School of Mines， 1999
8 Hoek E，Marinos P，Benissi M. Applicability of the geological strength index (GSI) classification for very weak and sheared rock masses[J]. The Case of the Athens Schist Formation Bull Engg. Geol. Env.，1998，57(2)：151～160
9 Bruland A. Hard rock tunnel boring[Doctorate Thesis][D]. Trondheim：Norwegian University of Science and Technology，1998
10 Barton N. TBM Tunnelling in Jointed and Faulted Rock[M]. Rotterdam：A. A. Balkema，2000
11 Nelson P P，Yousof A A，Laughton C. Improved strategies for TBM performance prediction and project management[A]. In：RETC Proceedings，Chapter 54[C]. [s. l.]：[s. n.]，1999，963～979
12 Grima M A，Bruines P A，Verhoef P N W. Modeling tunnel boring machine performance by Neuro-Fuzzy Methods[J]. Tunnelling and Underground Space Technology，2000，15(3)：259～269
13 Bruines P A. The use of neurofuzzy modeling for performance prediction of tunnel boring machines[A]. In：Adachi Swets，Zeitlinger ed. Modern Tunnelling Science and Technology[C]. [s. l.]：[s. n.]，2001，583～588
14 Gong Q M. Development of a rock mass classification scheme for tunnel boring[R]. Singapore：Nanyang Technological University， 2003
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