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2012 (Vol. 4, Issue: 23)
Article Information:

A Statistical Model for Prediction TBM Performance using Rock Mass Characteristics in the TBM Driven Alborz Tunnel Project

Hamed Rayat dust, Korosh Shahriar, Kave Ahangari and Hadi Kamali-Bandpey
Corresponding Author:  Hadi Kamali-Bandpey 

Key words:  TBM, penetration rate, regression, , , ,
Vol. 4 , (23): 5048-5054
Submitted Accepted Published
March 12, 2012 April 03, 2012 December 01, 2012
Abstract:

This study presents an attempt to model the TBM performance with respect to the rock mass characteristics and site conditions of Alborz Service Tunnel. Alborz Service Tunnel is the longest tunnel (6.4 km and diameter 5.20) along Tehran Shomal Freeway in Iran. Many models and equations have previously been introduced to estimate penetration rate of TBM based on properties of both rock and machine employing various statistical analysis techniques. The statistical prediction model is set up by performing multi-linear regression analysis techniques. In this study evaluate the rock mass characteristics such as UCS, volumetric joint count (Jv), Joint Spacing (JS) and orientation of discontinuities in rock mass (α) on machine performance based on the information obtained from field observations and geotechnical site investigations. A comparison between the measured PR and predicted PR show that the correlation coefficient (R) between the predicted and measured PR is 0.84 (R = 0.84).
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  Cite this Reference:
Hamed Rayat dust, Korosh Shahriar, Kave Ahangari and Hadi Kamali-Bandpey, 2012. A Statistical Model for Prediction TBM Performance using Rock Mass Characteristics in the TBM Driven Alborz Tunnel Project.  Research Journal of Applied Sciences, Engineering and Technology, 4(23): 5048-5054.
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ISSN (Online):  2040-7467
ISSN (Print):   2040-7459
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