Unexpected ground conditions have always been a major problem for the tunnelling industry. As demand for the development of \NMqlxp2
new underground structures, regardless of the ground conditions, has increased, safety and risk considerations have become even t#@z_Mn\
more important. The methodology presented in this paper aims at the identification of risk-prone areas, incorporating, at the same ?hGE[.(eh]
time, the uncertainty of ground conditions. It is focused on TBM tunnelling and can be implemented in the early stages of the I]i(
B+D
project. The methodology assesses the hazards by introducing the concept of a vulnerability index, which is based on the principles =4'V}p
of rock engineering systems, to identify the weighting of the parameters, and on probabilistic modelling to address the uncertainty in 4`)r1D!U
the parameters’ values. The proposed model is illustrated via the Athens Metro case study, used also for validating its performance $./aK J1B
under actual construction conditions.
