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Investigating the impact of TBM downtimes on utilization factor based on sensitivity analysis

机译：基于敏感性分析调查TBM停机时间对利用因子的影响

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Tunnel boring machines (TBMs) are considered to be the most efficient tunneling method for long tunnels because of their higher productivity, adaptability to a variety of subsurface conditions, and providing a safer work environment. The number of TBMs utilized over the past decade has escalated, testimony to their continuing success and flexibility for application on projects of different diameter, length, and ground conditions. There are various guidelines available for TBM selection and for developing a suitable specification for a machine for a given project. Proper application of these guidelines is an essential part of machine selection to assure optimal performance of these machines in a given project. However, available guidelines are very general in nature and based on past experiences: they cannot take into account the many intricacies of a specific upcoming project including site set up and geology.This paper discusses use of Discrete Event Simulation (DES) to model tunneling activities, and demonstrates the ability of simulation to capture the interrelationships between the TBM, back-up system, and geologic interactions. The simulations provide insight into expectations for utilization of individual components as well as overall TBM system utilization. The simulation model can be constructed to enable estimation of the machine utilization under various site set up and back-up arrangements, and thus paves the way to quantitative assessment of the value of adding different capabilities on the machine and back-up system. Case studies are used to demonstrate the impact of some common tunneling activities in different ground conditions. In particular, DES was used to study the effect of eight different tunneling activities on the overall performance of the TBM. Significant differences in productivity can be seen by varying the specification of the TBM and system components. The results show the importance of selecting the right components for the back-up and their impact on overall machine utilization, leading to the possibility of allowing more methodic and fact-based selection of system components for optimal TBM performance.
机译：由于其提高生产率，适应各种地下条件，并且提供更安全的工作环境，隧道钻孔机（TBMS）被认为是长隧道的隧道方法最有效的隧道方法，并提供更安全的工作环境。过去十年利用的TBMS数量升级，证明在不同直径，长度和地面条件的项目上的持续成功和灵活性。 TBM选择有各种指南，以及为特定项目开发适用于机器的合适规格。正确应用这些指南是机器选择的重要组成部分，以确保这些机器在给定项目中的最佳性能。但是，可用指南本质上是非常一般的，基于过去的经验：他们无法考虑到包括现场建立和地质的特定即将到来的项目的许多复杂性。本文讨论了使用离散事件模拟（DES）来模拟隧道活动并展示模拟能力以捕获TBM，备份系统和地质交互之间的相互关系。该模拟提供了深入了解利用各个组件以及整体TBM系统利用率的期望。可以构造仿真模型，以实现各种站点设置和备份布置下机器利用率的估计，因此为在机器和备份系统上添加了不同能力的值来定量评估的方式。案例研究用于展示一些常见的隧道活动在不同地面条件下的影响。特别是，DES用于研究八种不同的隧道活动对TBM整体性能的影响。通过改变TBM和系统组件的规格，可以看到生产率的显着差异。结果表明，为备份和对整体机器利用的影响选择合适的组件的重要性，导致允许更易于使用的系统组件选择的系统组件的可能性，以获得最佳的TBM性能。

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