Intact rock properties together with rock mass characteristics should be well investigated for selection of proper tunnel boring machine (TBM) for tunneling in various ground conditions. This is due to the significant impact of rock mass characteristics on machine performance. TBMs are site specific and designed for optimal performance in given ground conditions. When selected and put to work at a specific site, TBM parameters including thrust and power are the controlling factors for excavation rate. These two parameters along with rock properties and rock mass characteristics converge to define the operating point of a machine. To investigate the factors influence on TBM performance in rock mass, a database including two tunnel projects, ...
The aim of this study is to develop prediction models for estimating tunnel boring machine (TBM) per...
With the advances of technology, TBMs are becoming more versatile and TBM tunneling has become a com...
The aim of this study is to develop prediction models for estimating tunnel boring machine (TBM) per...
The key parameters on the estimation of tunnel-boring machine (TBM) performance are rock strength, t...
The key parameters on the estimation of tunnel-boring machine (TBM) performance are rock strength, t...
The knowledge of rock type and technology using for tunnel opening is essential for any mechanical e...
Since early 1980’s, research have been conducted on the prediction of tunnel boring machines (TBM) p...
Geological factors including the orientation, condition and frequency of discontinuities in rock mas...
The Queens Water Tunnel No. 3, stage 2 having 7.5-km length and 7-m diameter, is excavated by a high...
The competency of any TBM in any geological condition is determined by a rock or rock mass breakage ...
The performance and efficiency of tunnel boring machines (TBM) depend on the rock properties and geo...
Geological factors including the orientation, condition and frequency of discontinuities in rock mas...
This paper focuses on performance analysis of Tunnel Boring Machine (in particular gripper TBMs) in ...
The aim of this manuscript is to discuss the Tunnel Boring Machine (TBM) performance along the recen...
The tunnel-boring machine (TBM) is a common piece of equipment used in tunneling projects. For plann...
The aim of this study is to develop prediction models for estimating tunnel boring machine (TBM) per...
With the advances of technology, TBMs are becoming more versatile and TBM tunneling has become a com...
The aim of this study is to develop prediction models for estimating tunnel boring machine (TBM) per...
The key parameters on the estimation of tunnel-boring machine (TBM) performance are rock strength, t...
The key parameters on the estimation of tunnel-boring machine (TBM) performance are rock strength, t...
The knowledge of rock type and technology using for tunnel opening is essential for any mechanical e...
Since early 1980’s, research have been conducted on the prediction of tunnel boring machines (TBM) p...
Geological factors including the orientation, condition and frequency of discontinuities in rock mas...
The Queens Water Tunnel No. 3, stage 2 having 7.5-km length and 7-m diameter, is excavated by a high...
The competency of any TBM in any geological condition is determined by a rock or rock mass breakage ...
The performance and efficiency of tunnel boring machines (TBM) depend on the rock properties and geo...
Geological factors including the orientation, condition and frequency of discontinuities in rock mas...
This paper focuses on performance analysis of Tunnel Boring Machine (in particular gripper TBMs) in ...
The aim of this manuscript is to discuss the Tunnel Boring Machine (TBM) performance along the recen...
The tunnel-boring machine (TBM) is a common piece of equipment used in tunneling projects. For plann...
The aim of this study is to develop prediction models for estimating tunnel boring machine (TBM) per...
With the advances of technology, TBMs are becoming more versatile and TBM tunneling has become a com...
The aim of this study is to develop prediction models for estimating tunnel boring machine (TBM) per...