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Productivity Study of Microtunneling Pipe Installation Using Simulation

机译:微隧道管安装效率的仿真研究

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Microtunneling is a complex operation that requires the integration of several systems, a variety of supporting equipments and personnel, and is heavily influenced by subsurface condition. The objective of this research is to analyze and evaluate the factors that affect the productivity in microtunneling operations. Computer simulation can be used to study microtunneling operations before they are actually performed, thereby identifying operational inefficiency at different stages of the project and finding soil impact on the productivity. For this research, an actual microtunneling field study conducted at Louisiana Tech University was selected. Based on the data collected during this field study, a cyclic operations network model was developed with consideration on the impact of variations in soil compositions on the productivity of the operation. Simulations were repetitively conducted with different soil compositions. The simulation results were studied with regression analysis. A linear function of productivity and soil compositions was found. Various combinations of resources were also simulated. In this research study, the hypothesis that microtunneling boring machine is the bottleneck of the operation was proved to be true, whereas labor resources were found to be secondary limitations.
机译:微隧道技术是一项复杂的操作,需要集成多个系统,各种支持设备和人员,并且受到地下条件的严重影响。这项研究的目的是分析和评估影响微隧道作业生产率的因素。计算机模拟可用于在实际执行微隧道操作之前对其进行研究,从而确定项目不同阶段的操作效率低下,并发现土壤对生产率的影响。对于这项研究,选择了在路易斯安那理工大学进行的实际微隧道实地研究。根据在该田间研究期间收集的数据,开发了一个循环作业网络模型,其中考虑了土壤成分变化对作业生产率的影响。用不同的土壤成分重复进行模拟。通过回归分析研究了仿真结果。发现了生产力和土壤成分的线性函数。还模拟了各种资源组合。在这项研究中,微隧道掘进机是操作瓶颈的假设被证明是正确的,而人力资源却是次要的限制。

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