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        Advance Rate Simulation for Hard Rock TBMs

        Jamal Rostami,Ebrahim Farrokh,Chris Laughton,S. Safa Eslambolchi 대한토목학회 2014 KSCE JOURNAL OF CIVIL ENGINEERING Vol.18 No.3

        The existing methods for estimating the advance rate of hard rock Tunnel Boring Machine (TBM) often involves estimation of themachine utilization in a direct or an indirect manner. These methods are based on empirical systems and are limited in their capacityfor incorporating new machine capabilities or including many of the geological features along the tunnel. As such, these models arenot used as often due to their shortcomings. The objective of this study is to offer some improvements by using a new approach forsimulating all activities. The basic idea in simulation techniques is to predict the duration of different activities based on theirrecorded time distributions from past case histories or from the early stages of a project. A simulation model contains a series ofoperations, which should be repeated for a certain number of cycles. In each cycle, the model selects an anticipated duration timefrom time distribution curves for each activity and by using a logical relationship between activities, being parallel or in series and thepossibility of activity overlaps, it assigns a duration for the whole cycle. This is then continued to finish the task at hand with requirednumber of cycles. In this case, the cycles are the TBM going through each stroke or penetration cycle. This study includes discussionof each activity or failure of each subsystem and assigned and related duration accounts for parallel activities, and offers a distributionof cycle time, and finally estimation of tunnel completion time. A comprehensive study was conducted to evaluate the requirementsfor California switch final location and also the work arrangements for locomotives and trains for different scenarios. Differentarrangements were programmed with Arena© simulation software using field data of a double shield TBM, which recently completeda water conveyance tunnel. The simulation results show a very good agreement with the actual values of TBM advance rate valuesand also show the possible variation of the time required for completion of different sections of this tunnel. The outcome of this studywas to establish a framework for arranging and modeling the main time components of TBM operation. This will provide a usefultool for developing reliable estimates of machine advance rate for specific site, ground condition, and machine type.

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