Study on the risk assessment of water inrush in karst tunnels based on intuitionistic fuzzy theory

Abstract

Water inrush is a major geological hazard that threatens the safety of karst tunnels. The risk assessment of water inrush is necessary in tunnel engineering. A new model based on intuitionistic fuzzy analysis was proposed to assess the risk of water inrush, which considered the subjective and objective weights of influencing factors. Seven factors were selected to constitute the set of evaluation attributes, namely, formation lithology, unfavourable geological conditions, groundwater level, landform and physiognomy, modified strata inclination, contact zones of dissolvable and insoluble rock, and layer and interlayer fissures. The proposed model was applied in a typical karst tunnel, Xiakou tunnel in China. The sensitivity of the changes in the index weights was analyzed. The results showed that the water inrush risk of section XJK0 þ 110 to XJK0 þ 060 in Xiakou tunnel was evaluated as grade I (high risk). The risk assessment results were more sensitive to the index weights of landform, formation lithology, and contact zones of dissolvable and insoluble rock than to those of the other indices. Landform was the most sensitive index. The obtained results were identical to the practical findings, and the rationality and feasibility of the model was verified. Intuitionistic fuzzy analysis is a new method for the quantitative risk assessment of water inrush in karst tunnels.

Experimental Study on the Failure Mechanism of Tunnel Surrounding Rock under Different Groundwater Seepage Paths

“…With the rapid development of the transportation industry, tunnel engineering is widely used in infrastructure construction and plays an important role in railway engineering, highway engineering, water conservancy engineering, etc. However, the development of tunnel engineering shows the trends of longer, larger, and deeper, the construction environment becomes more and more complex; thus, the disasters such as collapse, water, and mud inrush often occur, which seriously affect the safety of tunnel engineering and restrict the economic development of the country [1][2][3][4][5][6][7]. The disaster caused by groundwater seepage is a common problem in tunnel engineering.…”

Risk assessment of water inrush in tunnel through water-rich fault based on AHP-Cloud model

“…Chu et al (2017) proposed the two-class fuzzy comprehensive evaluation to assess the risk of water inrush in karst tunnels. Wang, Chen, et al 2019) adopted the intuitionistic fuzzy analysis to assess the risk of water inrush, which considered the subjective and objective weights of influencing factors. The above risk assessments of water inrush disaster mainly focused on karst tunnels.…”

Risk assessment of water inrush caused by karst cave in tunnels based on reliability and GA-BP neural network

“…The application of the ideal point method (Wang et al 2019e) and attribute interval theory (Wang et al 2019b) proved the feasibility of the multi-objective optimization evaluation method. Wang et al (2017bWang et al ( , 2017cWang et al ( , 2019c applied the set pair analysis method, efficiency coefficient method and intuitionistic fuzzy theory in karst tunnels water inrush risk assessment to achieve the quantitative assessment of karst tunnels water inrush disaster consequences. However, the probability of water inrush disasters was not considered in the above methods.…”