Risk assessment of water inrush in tunnels based on attribute interval recognition theory

来源期刊:中南大学学报(英文版)2020年第2期

论文作者:李利平 王升 成帅 胡慧江 张明光 文桃

文章页码:517 - 530

Key words:water inrush; risk assessment; attribute interval recognition model; TFN-AHP

Abstract: Water inrush is one of the most serious geological hazards in underground engineering construction. In order to effectively prevent and control the occurrence of water inrush, a new attribute interval recognition theory and method is proposed to systematically evaluate the risk of water inrush in karst tunnels. Its innovation mainly includes that the value of evaluation index is an interval rather than a certain value; the single-index attribute evaluation model is improved non-linearly based on the idea of normal distribution; the synthetic attribute interval analysis method based on improved intuitionistic fuzzy theory is proposed. The TFN-AHP method is proposed to analyze the weight of evaluation index. By analyzing geological factors and engineering factors in tunnel zone, a multi-grade hierarchical index system for tunnel water inrush risk assessment is established. The proposed method is applied to ventilation incline of Xiakou tunnel, and its rationality and practicability is verified by comparison with field situation and evaluation results of other methods. In addition, the results evaluated by this method, which considers that water inrush is a complex non-linear system and the geological conditions have spatial variability, are more accurate and reliable. And it has good applicability in solving the problem of certain and uncertain problem.

Cite this article as: WANG Sheng, LI Li-ping, CHENG Shuai, HU Hui-jiang, ZHANG Ming-guang, WEN Tao. Risk assessment of water inrush in tunnels based on attribute interval recognition theory [J]. Journal of Central South University, 2020, 27(2): 517-530. DOI: https://doi.org/10.1007/s11771-020-4313-2.

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