TBM Tunneling Construction Time with Respect to Learning Phase Period and Normal Phase Period

IF 1.1 Q3 MINING & MINERAL PROCESSING
E. Farrokh
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Abstract

In every tunnel boring machine (TBM) tunneling project, there is an initial low production phase so-called the Learning Phase Period (LPP), in which low utilization is experienced and the operational parameters are adjusted to match the working conditions. LPP can be crucial in scheduling and evaluating the final project time and cost, especially for short tunnels for which it may constitute a major percentage of the total project completion time. The contractors are required to have a better understanding of the initial phase of a project to provide better estimates in the bidding documents. While evaluating and shortening of this phase of low production is important for increasing the productivity and daily advance rate of the machine, there has been limited a direct study and assessment of this period. In this work, we discuss the parameters impacting LPP, and introduce a new methodology for its evaluation. In this regard, an algorithm is introduced for estimation of the approximate extent of LPP based on some TBM tunneling case histories. On the basis of many statistical analyses conducted on the actual data and application of two different shapes of linear and polynomial for the description of LPP, a linear function is proposed for estimation of the learning phase parameters. The major parameters of this function are the learning conditions’ rating and the proportion of LPP to tunnel diameter (X1/D). Analysis of the correlation between these two parameters show a very good coefficient of determination (R2 = 92%). This function can be used for the evaluation of TBM advance rates in LPP and for adjusting the TBM utilization factor in the initial stages of a TBM tunneling project. The learning phase can affect the overall utilization rate and completion time of the tunnels, especially when their lengths are around a couple of kilometers. A true understanding of the LPP characteristics can help the contractors to come up with a more accurate bidding time and cost evaluation, and may also benefit the clients to arrange a better schedule for the final project delivery to the public.
TBM隧道施工时间相对于学习阶段和正常阶段
在每一个隧道掘进机掘进项目中,都有一个初始的低生产阶段,即学习阶段,在这个阶段,隧道掘进机的利用率很低,并调整运行参数以适应工作条件。LPP在规划和评估最终项目时间和成本方面至关重要,特别是对于可能占项目总完成时间很大比例的短隧道。要求承包商对项目的初始阶段有更好的了解,以便在投标文件中提供更好的概算。虽然评估和缩短这一低产量阶段对提高机器的生产率和日进步率很重要,但对这一阶段的直接研究和评估有限。在这项工作中,我们讨论了影响LPP的参数,并介绍了一种新的评估方法。在此基础上,提出了一种基于隧道掘进机实例的LPP近似估计算法。在对实际数据进行大量统计分析的基础上,应用两种不同形状的线性和多项式来描述LPP,提出了一种用于估计学习阶段参数的线性函数。该函数的主要参数是学习条件的等级和LPP与隧道直径的比例(X1/D)。对这两个参数进行相关性分析,结果表明具有很好的决定系数(R2 = 92%)。该函数可用于评价隧道掘进机在LPP中的推进率,也可用于调整隧道掘进机在工程初期的利用系数。学习阶段会影响隧道的整体利用率和完工时间,特别是当隧道长度在几公里左右时。真正了解LPP的特点,有助承建商厘定更准确的投标时间及成本评估,亦有助业主安排更佳的时间表,将工程项目最终交付公众。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Journal of Mining and Environment
Journal of Mining and Environment MINING & MINERAL PROCESSING-
CiteScore
1.90
自引率
25.00%
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0
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