Optimum selection of tunnel boring machine by using fuzzy analytical hierarchy process: A case study of Behesht Abad tunnel

Tunnel boring machines (TBMs) are one of the most important miners in an excavation of tunnels and underground spaces. These machines can bore all circular cross-sections all at once. Designers and managers are to choose the most suitable type of TBM as the high price of these machines can affect the economics of the project. The main objective of this research work is to select proper TBM using multiple criteria decision-making (MCDM) approaches for excavation of Behesht Abad water transfer tunnel in central Iran. As there are many opposite criteria for machine selection, therefore, this issue is considered as a multi-criteria and complex problem. Various methods have been used and developed for the evaluation and selection of a suitable machine. One is using applicable decision making such as fuzzy analytical hierarchy process (AHP). Fuzzy logic can help the tunneling designers in the process of the TBM selection under a fuzzy environment where the vagueness and uncertainty are taken into account with linguistic variables parameterized by triangular fuzzy numbers. The fuzzy AHP applied to form the structure of the TBM selection problem and to determine weights of the evaluation criteria, and this method utilized to acquire final ranking. Results of this study showed that doubled shielded TBM is the most suitable option for excavating Behesht Abad tunnel.

Optimum selection of mechanical excavator; Tunnel Boring Machine (TBM); Fuzzy AHP; Behesht Abad water transfer tunnel.