Performance prediction of hard rock Tunnel Boring Machines (TBMs) in difficult ground

详细信息    查看全文

• 作者：Jamal Rostami ^{Rostami@psu.edu" class="auth_mail" title="E-mail the corresponding author}
• 关键词：Performance prediction ; Rate of penetration (ROP) ; Advance rate (AR) ; Utilization (U) ; Tunnel Boring Machine (TBM) ; Rock tunnelling
• 刊名：Tunnelling and Underground Space Technology
• 出版年：2016
• 出版时间：August 2016
• 年：2016
• 卷：57
• 期：Complete
• 页码：173-182
• 全文大小：1725 K

文摘

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.