Abstract

The gushing water disaster in tunnels is a kind of harmful and risky engineering disaster. It has become a key problem to evaluate the risk of tunnel gushing water accurately and objectively. A case study of a typical highway tunnel is performed for theory and practice analysis. For this reason, the risk identification is carried out on the assessed objects, and 10 evaluation indexes are determined. In turn, the risk evaluation index system and classification standard are established. Furthermore, the entropy weight method and the analytic hierarchy process are combined to assign the weight to each evaluation index. Therefore, a dynamic risk assessment system, including the pre-evaluation model and the postevaluation model, is constructed with the attribute identification model. As a result, the tunnel section with a high risk of water inrush is accurately assessed, which is consistent with the construction situation on site. Moreover, it is verified that the assessment results are reliable, which can provide a reference for the similar projects.

Highlights

  • China is the fastest developing country in tunneling construction [1]

  • (1) e index system and the index grading standards of the highway tunnel water inrush risk assessment have been established based on a highway tunnel case of the geological prospecting, geological survey data, and reference

  • A set of dynamic highway tunnel water inrush risk assessment models with preassessment model and postassessment model is established, which has combined with the combination of empowerment and the attribute identification theoretical model

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Summary

Introduction

China is the fastest developing country in tunneling construction [1]. the safety of tunneling construction is prominent and has attracted much attention. Erefore, the safety risk assessment of tunneling construction is widely practiced. By combining the interval analytic hierarchy process (I-AHP) with the technique for order preference by similarity to an ideal solution (TOPSIS), Lin et al [2] proposed a novel fuzzy model which identified high-risk factors during excavations in urban karst geological environments. The theory of risk assessment has developed rapidly. The development of assessment theory promotes the application of safety assessment of the tunneling water inrush. Zhu et al [5] focused on the study of the influence of the geological influencing factors on the tunnel gushing water risk and, based on this, established the risk assessment model of tunnel gushing water based on the weighted average method, etc

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