Unexpected ground conditions have always been a major problem for the tunnelling industry. As demand for the development of Q$!dPwDg
new underground structures, regardless of the ground conditions, has increased, safety and risk considerations have become even Vvk1 D(
more important. The methodology presented in this paper aims at the identification of risk-prone areas, incorporating, at the same F)_zR
time, the uncertainty of ground conditions. It is focused on TBM tunnelling and can be implemented in the early stages of the lt\.
)Y>4
project. The methodology assesses the hazards by introducing the concept of a vulnerability index, which is based on the principles {2 J o|z
of rock engineering systems, to identify the weighting of the parameters, and on probabilistic modelling to address the uncertainty in F]kn4zr
the parameters’ values. The proposed model is illustrated via the Athens Metro case study, used also for validating its performance $'FPs oH
under actual construction conditions.
