Attribute recognition model of fatalness assessment of water inrush in karst tunnels and its application
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Attribute recognition model of fatalness assessment of water inrush in karst tunnels and its application
Vol. 34, Issue 3, (2013)
作者机构:
1. 山东大学 岩土与结构工程研究中心,济南,250061
2. 南京水利科学研究院 水文水资源与水利工程科学国家重点实验室,南京,210098
作者简介:
基金信息:
DOI:
CLC:U458
Online First:20 March 2013,
Published:2013
稿件说明:
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ZHOU Zong-qing, LI Shu-cai, LI Li-ping, et al. Attribute recognition model of fatalness assessment of water inrush in karst tunnels and its application[J]. 2013, 34(3).
DOI:
ZHOU Zong-qing, LI Shu-cai, LI Li-ping, et al. Attribute recognition model of fatalness assessment of water inrush in karst tunnels and its application[J]. 2013, 34(3).DOI:
Attribute recognition model of fatalness assessment of water inrush in karst tunnels and its application
Water inrush is one of the typical geological hazards during tunnel construction in karst area; an attribute recognition model of water inrush risk evaluation is established based on attribute mathematic theory in order to control the water inrush risk and guarantee tunnel construction’s safety. Firstly
formation lithology
unfavorable geology
groundwater level
topography and geomorphology
contact zone of dissolvable and insoluble rocks
layer and interlayer fissures are selected as first grade indices of attribute recognition by considering of karst hydrologic and engineering geological conditions; and the unfavorable geology is divided into water-bearing structure
karst water system and fault fracture zone as second grade indices. The weights of first grade indices are determined by frequency statistic method through collecting and collating information of typical water inrush examples of karst tunnels; and the weights of second grade indices are determined by judgment matrix established by analytic hierarchy process (AHP). Then attribute measurement functions are rigorously constructed to compute attribute measurement of single index and synthetic attribute measurement. Lately
the identification and classification of risk assessment of water inrush in tunnels are recognized by the confidence criterion. The water inrush risk of Jigongling tunnel on the line of Fanba expressway is evaluated based on the established attribute recognition model; and the evaluation result agrees well with construction situation
so as to provide an effective method for water inrush risk evaluation of karst tunnels.