TBM Performance Analysis in Pyroclastic Rocks: A Case History of Karaj Water Conveyance Tunnel

Karaj Water Conveyance Tunnel (KWCT) is 30-km long and has been designed for transferring 16 m3/s of water from Amir-Kabir dam to northwest of Tehran. Lot No. 1 of this long tunnel, with a length of 16 km, is under construction with a double shield TBM and currently about 8.7 km of the tunnel has been excavated/lined. This paper will offer an overview of the project, concentrating on the TBM operation and will review the results of field performance of the machine. In addition to analysis of the available data including geological and geotechnical information and machine operational parameters, actual penetration and advance rates will be compared to the estimated machine performance using prediction models, such as CSM, NTNU and QTBM. Also, results of analysis to correlate TBM performance parameters to rock mass characteristics will be discussed. This involves statistical analysis of the available data to develop new empirical methods. The preliminary results of this study revealed that the available prediction models need some corrections or modifications to produce a more accurate prediction in geological conditions of this particular project.

[1]  Nick Barton,et al.  Engineering classification of rock masses for the design of tunnel support , 1974 .

[2]  Amund Bruland,et al.  HARD ROCK TUNNEL BORING , 2000 .

[3]  J. Rostami,et al.  A New Model for Performance Prediction of Hard Rock Tbms , 1997 .

[4]  S. Yagiz.  Development of rock fracture and brittleness indices to quantify the effects of rock mass features and toughness in the CSM model basic penetration for hard rock tunneling machines. PhD Dissertation, T-5605, Colorado School of Mines, USA , 2002 .

[5]  H. P. Sanio,et al.  Prediction of the performance of disc cutters in anisotropic rock , 1985 .

[6]  N. Innaurato,et al.  POWER CONSUMPTION AND METAL WEAR IN TUNNEL-BORING MACHINES: ANALYSIS OF TUNNEL-BORING OPERATION IN HARD ROCK , 1983 .

[7]  J. Cogan.  Support of Underground Excavations in Hard Rock , 1996 .

[8]  Ahmad Ramezanzadeh.  Performance analysis and development of new models for performance prediction of hard rock TBMs in rock mass , 2005 .

[9]  C. Kuzu,et al.  Cutting Performance of Jack Hammers and Roadheaders in Istanbul Metro Drivages , 2005 .

[10]  Z. T. Bieniawski,et al.  Engineering Rock Mass Classifications: A Complete Manual for Engineers and Geologists in Mining, Civil, and Petroleum Engineering , 1989 .

[11]  A. J. Hendron,et al.  Design Of Surface And Near-Surface Construction In Rock , 1966 .

[12]  R. Ribacchi,et al.  Influence of Rock Mass Parameters on the Performance of a TBM in a Gneissic Formation (Varzo Tunnel) , 2005 .

[13]  Nick Barton,et al.  TBM Tunnelling in Jointed and Faulted Rock , 2000 .

[14]  Jian Zhao,et al.  Development of a rock mass characteristics model for TBM penetration rate prediction , 2009 .

[15]  Saffet Yagiz,et al.  Utilizing rock mass properties for predicting TBM performance in hard rock condition , 2008 .

[16]  Matteo Berti,et al.  TBM performance estimation using rock mass classifications , 2002 .