透過您的圖書館登入
IP:216.73.216.60
  • 期刊
  • OpenAccess

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

並列摘要


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 (6.4km 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).

並列關鍵字

TBM penetration rate regression

延伸閱讀