Risk analysis of railway tunnel collapse based on ISM and entropy-weighted method

doi:10.16265/j.cnki.issn1003-3033.2018.S1.012

Abstract

Abstract: Taking the railway tunnel collapse accident as the research object, the 18 risk factors summarized from the accident were analyzed hierarchically using the ISM technology, the relationship between the risk factors was found out, and the structural model of the risk factors of the collapse of the railway tunnel was established. Eight underlying risk factors leading to landslide accidents were identified: inadequate safety management, poor geological survey, improper excavation method selected, insufficient sneeze quality, long closing cycle, severe bias, poor geological conditions Groundwater seepage. The weighted normalized information entropy of the underlying risk factors was obtained through direct risk factors and intermediate risk factors. It is concluded that the selection of groundwater seepage, special adverse geology, and excavation methods has a greater impact on tunnel collapse and provides ideas for reducing tunnel collapse accidents.

Key words: railway tunnel, landslide, interpretative structural modeling(ISM), information entropy, risk analysis

CLC Number:

X913.4

MENG Chao, LI Xiaomeng, SUN Yuling, WANG Jingchun, LIU Xiangdong. Risk analysis of railway tunnel collapse based on ISM and entropy-weighted method[J]. China Safety Science Journal, 2018, 28(S1): 64-70.

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