Browse > Article
http://dx.doi.org/10.12989/cac.2018.22.2.239

Influence of TBM operational parameters on optimized penetration rate in schistose rocks, a case study: Golab tunnel Lot-1, Iran  

Eftekhari, A. (Department of Mining Engineering, Faculty of Engineering, University of Kashan)
Aalianvari, A. (Department of Mining Engineering, Faculty of Engineering, University of Kashan)
Rostami, J. (Department of Mining Engineering, Colorado School of Mines)
Publication Information
Computers and Concrete / v.22, no.2, 2018 , pp. 239-248 More about this Journal
Abstract
TBM penetration rate is a function of intact rock properties, rock mass conditions and TBM operational parameters. Machine rate of penetrationcan be predicted by knowledge of the ground conditions and its effects on machine performance. The variation of TBM operational parameters such as penetration rate and thrust plays an important role in its performance. This study presents the results of the analysis on the TBM penetration rates in schistose rock types present along the alignment of Golab tunnel based on the analysis of a TBM performance database established for every stroke through different schistose rock types. The results of the analysis are compared to the results of some empirical and theoretical predictive models such as NTH and QTBM. Additional analysis was performed to find the optimum thrust and revolution per minute values for different schistose rock types.
Keywords
golab tunnel; penetration rate; tunnel boring machine; TBM operational parameters;
Citations & Related Records
Times Cited By KSCI : 3  (Citation Analysis)
연도 인용수 순위
1 Barton, N. (1999), "TBM performance estimation in rock using QTBM", Tunnels Tunnel. Int., 31(9), 41-48.
2 Barton, N. and Itoh, J. (2000), "TBM performance in rock using QTBM", Fuji Research Institute Corporation.
3 Bieniawski, Z.T., Celada, B. and Galera, J.M. (2007), "TBM excitability prediction and machine and rock interaction", RETC, Toronto.
4 Bruland, A. (1999), "Hard rock tunnel boring advance rate and cutter wear", Norwegian Istitute Technology, Trondheim, 183.
5 Cassinelli, F., Cina, S. and Innaurato, N. (1982), "Power consumption and metal wear in tunnel boring machines, analysis of tunnel operation in hard rock", Proceedings, Tunneling 82, London, UK.
6 Delisio, A. and Zhao, J. (2014), "A new model for TBM performance prediction in blocky rock condition", Tunne. Underg. Space Technol., 43, 440-452.   DOI
7 Ding, W.Q., Peng, Y.C., Yan, Z.G., Shen, B.W., Zhu, H.H. and Wei, X.X. (2013), "Full-scale testing and modeling of the mechanical behavior of shield TBM tunnel joint", Struct. Eng. Mech., 45(3), 337-354.   DOI
8 Engineering Geological report of Golab Tunnel project (2009), IMN-10054-SUGE-OR-GE-TR-044-1, IMN, Consulting Engineers.
9 Gong, Q.M. and Zhao, J. (2009), "Development of a rock mass characteristics model for TBM penetration rate prediction", 46(1), 8-18.   DOI
10 Graham, P.C. (1976), "Rock exploration for machine manufacturers, in exploration for rock engineering", Proceedings of the Symposium, Ed. Bieniawski, Z.T., 1, Johannesburg, Balkema.
11 Hassanpour, J., Rostami, J. and Zhao, J. (2011), "A new hard rock TBM performance prediction model for project planning", 26(5), 595-603.   DOI
12 Khademi Hamidi, J., Shahriar, K., Rezai, B. and Rostami, J. (2010), "Performance prediction of hard rock TBM using Rock Mass Rating (RMR) system", Tunnel. Underg. Space Technol., 25(4), 333-345.   DOI
13 Hassanpour, J., Rostami, J., Khamechian, M., Bruland, A. and Tavakoli, H.R. (2009), "TBM performance analysis in pyroclastic rocks, a case history of Karaj Water Conveyance Tunnel (KWCT)", Rock Mech. Rock Eng. J., 43(4), 427-445.
14 Hughes, H.M. (1986), "The relative cuttability of coal measures rock", Min. Sci. Technol., 3, 95-109.   DOI
15 Innaurato, N., Mancini, A., Rondena, E. and Zaninetti, A. (1991), "Forecasting and effective TBM performances in a rapid excavation of a tunnel in Italy", Proceeding of 7th International Congress on Rock Mechanics, Aachen, Germany.
16 Ozdmir, L. (1977), "Development of theoretical equations for predicting tunnel borability", Thesis, Colarado School of Mines: Golden, CO, USA.
17 Palmstrom, A. (1995), "RMi a rock mass characterization system for rock engineering purposes", PhD Thesis, Olso University, Noreay.
18 Ramamurthy, T. (2008), "Penetration rate of TBMs", Proc. Word Tunnel Congress, India.
19 Alvarez Grima, M., Bruines, P.A. and Verhoef, P.N.W. (2000), "Modeling tunnel boring machine performance by neuro-fuzzy methods", Tunnel. Underg. Space Technol., 15(3), 259-269.   DOI
20 Babaahmadi, A., Mohajjel, M., Eftekhari, A. and Davoudian, A.R. (2012), "An investigation into the fault patterns in the Chadegan region, west Iran: Evidence for dextral brittle transpressional tectonics in the Sanandaj-Sirjan zone", J. Asian Earth Sci., 43(1), 77-88.   DOI
21 Ramezanzadeh, A., Rostami, J. and Kastner, R. (2004), "Performance prediction models for hard rock tunnel boring machines", 6th Iranian Tunnel Conference, 15.
22 Rostami, J. and Ozdemir, L. (1993), "A new model for performance prediction of hard rock TBM", Proceedings of the Rapid Excavation and Tunneling Conference, Chapter 50, Boston, MA, USA.
23 Roxborugh, F.F. and Phillips, H.R. (1975), "Rock excavation by disc cutter", Int. J. Rock Mech. Min. Sci., 12, 361-366.   DOI
24 Sanio, H.P. (1985), "Prediction of the performance of disc cutters in anisotropic rock", Int. J. Rock Mech. Min. Sci. Geomech. Abs., 22(3), 153-161.   DOI
25 Sapigni, M., Berti, M., Bethaz, E., Busillo, A. and Cardone, G. (2002), "TBM performance estimation using rock mass classifications", Int. J. Rock Mech. Min. Sci., 39, 771-788.   DOI
26 Sato, K., Gong, F. and Itakura, K. (1991), "Prediction of disc cutter performance using a circular rock cutting ring", Proceedings 1st International Mine Mechanization and Automation Symposium, June, Colorado School of Mines, Golden Colorado, USA.
27 Shin, J.H. (2008), "Numerical modeling of coupled structural and hydraulic interactions in tunnel linings", Struct. Eng. Mech., 29(1), 1-16.   DOI
28 Taromi, M., Eftekhari, A., Khademi Hamidi, J. and Aalianvari, A. (2017), "A discrepancy between observed and predicted NATM tunnel behaviors and updating: a case study of the Sabzkuh tunnel", Bull. Eng. Geol. Environ., 76(2), 713-729.   DOI
29 Yagiz, S. (2006), "A model for the prediction of tunnel boring machine performance", IAEG2006, 383.
30 Yagiz, S. (2008), "Utilizing rock mass properties for predicting TBM performance in hard rock condition", Pamukkale University, Turkey, Tunneling and Underground Space Technology.
31 Zhou, X., Hu, H., Jiang, B., Zhou, Y. and Zhu, Y. (2016), "Numerical analysis on stability of express railway tunnel portal", Struct. Eng. Mech., 57(1), 1-20.   DOI