Utilization of Soft Computing for Risk Assessment of a Tunneling Project Using Geological Units
Abstract: Soft computing is
one of the most efficient tools for analysing risk taking in civil engineering
projects. Therefore, in this paper, using Fuzzy C-means (FCM) technique as one
of the most efficient and important classification methods in the area of soft
computing, risk in the tunnelling project was evaluated and analysed. For this
reason, considering three mechanical and physical parameters influencing the
design and execution of the tunnelling project including overburden (H),
internal friction angle (Phi) and cohesion (C), geological units were
classified along the project's route. The present study has been conducted on
the third section of Ghomrud tunnel as one of the greatest tunnelling projects
in the centre of Iran. Results obtained from the evaluation of geological units
along the tunnelling project's route after the validation of drilling rate
index’s results show the appropriate evaluation of the project’s risk through
fuzzy clustering technique.
Keywords: Soft Computing; Risk
Analysis; Tunneling Project; Fuzzy C-Means Technique; Drilling Rate Index
(DRI); Geological Units
Author: Sina Shaffiee
Haghshenas, Sami Shaffiee Haghshenas, Milad Barmal, Niloofar Farzan
Journal Code: jptsipilgg160042
