Effect of Rock Joint on Boreability of TBM at Northern Section of Kerman Water Conveyance Tunnel

Document Type : Research Paper

Authors

Faculty of Mining, Petroleum and Geophysics Engineering, Shahrood University of Technology

Abstract

Nowadays, Tunnel Boring Machines (TBM) are widely used around the world on account of their high rate of excavation, little impact on the surrounding rock and their high safety standards. The rock mass boreability is considered as one of the main parameters in evaluating the TBMs performance in jointed rock masses .Boreability is a parameter reflecting the interaction between the rock mass and cutting tools. This paper aims to render an account of the effect of Joints Geometrical Parameters on the boreability by use of a database prepared utilizing the data (TBM operation and geological parameters) collected from Kerman Water Conveyance Tunnel projects in Iran. For this purpose, the joint parameters (orientation, spacing, persistence) affecting the boreability have initially been investigated. Then, the total fracturing factors (Bruland) and Persistence classification were used to investigate the effects of all three parameters on the borability. The results showed that the boreability is also increased by increasing the joint persistency. Besides, the effect of fracturing factor ( ) on boreability increases by increasing the joint persistency. In this paper, a new parameter called "Rock Joint Index"(RJI) is also presented according to the analysis performed on the database. The boreability value estimated based on the RJI shows a good agreement with the actual penetration rates.

Keywords

References

[1] Wilfing, L. (2016). The Influence of Geotechnical Parameters on Penetration Prediction in TBM Tunnelling Hard Rock. Tehnische chnische university MÜNCHEN.
[2] Entacher, M. (2013). Measurement and interpretation of disc cutting forces in mechanized tunneling. Thesis, Technische Universität München. [3] 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.
[4] Paltrinieri, E. (2015). Analysis of TBM tunnelling performance in faulted and highly fractured rocks. Doctor of Philosophy thesis, EPFL.
[5] 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.
[6] 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.
[7] 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.
[8] 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.
[9] 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.
[10] SOI Company. (2016). Engineering geological report of Kerman water conveyance tunnel. Unpublished report. [11] Bruland, A. (1998). Hard Rock Tunnel Boring. Doctoral Thesis, Norwegian Institute of Technology, Trondheim
[12] 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.
[13] Bieniawski, Z.T. (1984). Rock mechanics design in mining and tunneling. A.A. Balkema, Rotterdam, 272 p. [14] Barton, N. (2000). TBM Tunneling in Jointed and Fault Rock. Rotterdam: Balkema
[15] 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.
[16] Yagiz, S. (2008). Utilizing rock mass properties for predicting TBM performance in hard rock conditions. Tunnel Underground Space Technology, 23(3):326–39.
[17] Ramezanzadeh, A., Rostami, J., Tadic, D. (2005). Influence of rock mass properties on Performance of hard rock TBMs. RETC PROCEEDINGS, Chapter 56.
[18] 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.
[19] 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.
[20] 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.
[21] Hassanpour, J. (2010). Analysis of actual TBM performance in Ghomrood project. Bulletin of Iranian Tunneling Association, No. 9, (article in Persian).
[22] 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.
[23] Farrokh, E. (2012). Study of utilization factor and advance rate of hard rock TBMS. Doctor of Philosophy, Pennsylvania State University.
[24] 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.
[25] 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.
International Journal of Mining and Geo-Engineering
Volume 55, Issue 2
December 2021
Pages 145-150

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