Abstract
Tunnel water inrush is complex, fuzzy, and random, and it is affected by many factors, such as hydrology, geology, and construction. However, few papers have considered the impact of dynamic monitoring on water inrush in previous research. In this study, considering geological, hydrological, and construction factors, as well as dynamic monitoring, a new multi-index evaluation method is proposed to analyze the risk of tunnel water inrush based on the normal cloud model. A new weight algorithm combining analytic hierarchy process and entropy method is used to calculate the index weight. The certainty degree of each evaluation index belonging to the corresponding cloud can be obtained by the cloud model theory. The final level of tunnel water inrush is determined via the synthetic certainty degree. The proposed method is applied to analyze the risk of water inrush in the SS (Shuang-san) tunnel constructed by a tunnel boring machine in the arid area of Northwest China. The evaluation results are not only basically identical to the results calculated by the ideal point and gray relation projection methods, but also agree well with the actual excavation results. This demonstrates that this new risk assessment method of water inrush has high accuracy and feasibility. Simultaneously, it also provides a new research idea to analyze the probability of tunnel water inrush and can provide a reference for related projects.
Highlights
Water inrush has great perniciousness in tunnel excavation [1,2]; for a tunnel constructed by a tunnel boring machine (TBM), it may submerge the mechanical equipment of the TBM, which is worth tens of millions of dollars, and seriously endanger the safety and life of the builders in the tunnel [3,4]
In this study, based on detailed geological, hydrological, construction, and dynamic monitoring data of the SS (Shuang-san) tunnel, which is a super-long tunnel constructed by a TBM in the arid area of Northwest China, a new multi-index evaluation method is proposed to analyze the risk of tunnel water inrush based on the normal cloud model
Considering geological, hydrological, and construction factors, as well as dynamic monitoring, a new multi-index evaluation method was proposed in this paper to analyze the risk of tunnel water a new multi-index evaluation method was proposed in this paper to analyze the risk of tunnel water inrush based on the normal cloud model
Summary
Water inrush has great perniciousness in tunnel excavation [1,2]; for a tunnel constructed by a tunnel boring machine (TBM), it may submerge the mechanical equipment of the TBM, which is worth tens of millions of dollars, and seriously endanger the safety and life of the builders in the tunnel [3,4]. In this study, based on detailed geological, hydrological, construction, and dynamic monitoring data of the SS (Shuang-san) tunnel, which is a super-long tunnel constructed by a TBM in the arid area of Northwest China, a new multi-index evaluation method is proposed to analyze the risk of tunnel water inrush based on the normal cloud model. The aim of this method is to further improve the accuracy of the risk prediction of water inrush
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