Risk assessment of water inrush in karst tunnels based on attribute synthetic evaluation system

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• 作者：Shu-cai Li ; Zong-qing Zhou ; Li-ping Li ; Zhen-hao Xu ; Qian-qing Zhang ; Shao-shuai Shi
• 关键词：Karst tunnel ; Water inrush ; Risk assessment ; Attribute mathematical theory
• 刊名：Tunneling and Underground Space Technology
• 出版年：September, 2013
• 年：2013
• 卷：38
• 期：Complete
• 页码：50-58
• 全文大小：1140 K

文摘

A veracious and feasible method is presented to systematically evaluate the risk of water inrush in karst tunnels. The methodology consists of two attribute recognition models: one is used in design stage, and the other one is applied in construction stage. Based on the principles of scientificity, rationality, operability and representative, several influence factors are selected as evaluation indices. In order to meet the requirement of the data format of attribute mathematical theory, a couple of evaluation indices are modified and quantitatively graded according to four risk grades through expert evaluation method. The weights of evaluation indices are rationally distributed by comprehensive assignment method, and the attribute measure functions are constructed to compute single index attribute measure and synthetic attribute measure. A confidence criterion is adopted to discern the risk grade of water inrush. Comparisons of the results derived from the present method and a case study are made. The results of the comparisons indicate that the evaluation results obtained from the proposed method are generally in a good agreement with the field-observed results. This risk assessment methodology provides a powerful tool for systematically assessing the risk of water inrush in karst tunnels.