A platform for research: civil engineering, architecture and urbanism
A platform for research: civil engineering, architecture and urbanism
Performance prediction of hard rock Tunnel Boring Machines (TBMs) in difficult ground
Abstract Performance prediction of TBMs is an essential part of project scheduling and cost estimation. This process involves a good understanding of the complexities in the site geology, machine specification, and site management. Various approaches have been used over the years to estimate TBM performance in a given ground condition, many of them were successful and within an acceptable range, while some missing the actual machine performance by a notable margin. Experience shows that the best approach for TBM performance prediction is to use various models to examine the range of estimated machine penetration and advance rates and choose a rate that best represents the working conditions that is closest to the setting of the model used for the estimation. This allows the engineers to avoid surprises and to identify the parameters that could dominate machine performance in each case. This paper reviews the existing models for performance prediction of TBMs and some of the ongoing research on developing better models for improved accuracy of performance estimate and increasing TBM utilization.
Performance prediction of hard rock Tunnel Boring Machines (TBMs) in difficult ground
Abstract Performance prediction of TBMs is an essential part of project scheduling and cost estimation. This process involves a good understanding of the complexities in the site geology, machine specification, and site management. Various approaches have been used over the years to estimate TBM performance in a given ground condition, many of them were successful and within an acceptable range, while some missing the actual machine performance by a notable margin. Experience shows that the best approach for TBM performance prediction is to use various models to examine the range of estimated machine penetration and advance rates and choose a rate that best represents the working conditions that is closest to the setting of the model used for the estimation. This allows the engineers to avoid surprises and to identify the parameters that could dominate machine performance in each case. This paper reviews the existing models for performance prediction of TBMs and some of the ongoing research on developing better models for improved accuracy of performance estimate and increasing TBM utilization.
Performance prediction of hard rock Tunnel Boring Machines (TBMs) in difficult ground
Rostami, Jamal (author)
Tunnelling and Underground Space Technology ; 57 ; 173-182
2016-01-11
10 pages
Article (Journal)
Electronic Resource
English
Performance prediction of hard rock Tunnel Boring Machines (TBMs) in difficult ground
| British Library Online Contents | 2016
Performance prediction of hard rock Tunnel Boring Machines (TBMs) in difficult ground
| British Library Online Contents | 2016
Performance prediction of hard rock Tunnel Boring Machines (TBMs) in difficult ground
| Online Contents | 2016
Tunnel boring machines (TBMs) in difficult grounds
| British Library Online Contents | 2016
Tunnel boring machines (TBMs) in difficult grounds
| British Library Online Contents | 2016