PREDICTING TUNNEL BORING MACHINE UTILIZATION USING DISCRETE EVENT SIMULATION MODELS FOR HARD ROCKS
Tunnel Boring Machines (TBM) are perhaps the most efficient method for tunnel excavation, as they have become the dominant mode and method of tunneling around the world. One of the essential steps for justification of the use of TBMs as well as planning the completion time and estimating the cost of projects involving TBMs is estimating the machine performance in given ground conditions. The main performance indicator for TBMs is the average daily advance rate (AR) which is product of rate of penetration (ROP), utilization (U). While there are various models for estimation of machine ROP with ...
(For more, see "View full record.")