TBM Performance and Tool Wear Prediction Along Two Lots of Dyaaba Headrace Tunnel (Uma-Oya Project, Sri Lanka)

摘要

Predicting TBM performance and cutter consumption in tunneling projects plays an importantrnrole on project schedule and cost. To predict these parameters, it is necessary to have reliable input parametersrnand suitable predictive models. In this paper, a new procedure used to anticipate TBMs performance parametersrnand cutter consumption along two lots of Dyaaba headrace tunnel (Uma-Oya project at Sri Lanka) have beenrnexplained. Applied empirical prediction models are simple equations and charts that use usual and easilyavailablernrock mass parameters as input data and can be applied simply. They are based on experiences gainedrnfrom actual TBM performance and disc cutters life measurements along similar tunneling projects.