Unexpected ground conditions have always been a major problem for the tunnelling industry. As demand for the development of 2Q;g |*]
new underground structures, regardless of the ground conditions, has increased, safety and risk considerations have become even n_9Wrx328
more important. The methodology presented in this paper aims at the identification of risk-prone areas, incorporating, at the same Y 8Dn&W
time, the uncertainty of ground conditions. It is focused on TBM tunnelling and can be implemented in the early stages of the nN'>>'@>
project. The methodology assesses the hazards by introducing the concept of a vulnerability index, which is based on the principles Nu,t,&B
of rock engineering systems, to identify the weighting of the parameters, and on probabilistic modelling to address the uncertainty in p3Z[-2I
the parameters’ values. The proposed model is illustrated via the Athens Metro case study, used also for validating its performance APUpqY
under actual construction conditions.
