基于灰色模糊语言的铁路隧道施工风险评估

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Abstract Research purposes: In the construction of railway in complex and dangerous areas, tunnels account for a relatively high proportion, which is often ultra-long and deep buried, facing construction difficulty such as complex engineering geology, frequent and strong earthquakes, natural disasters and difficult construction conditions. Construction safety accidents such as landslides, water gushing and rock explosion are easy to occur. In order to prevent the tunnel construction accidents, the tunnel construction risk assessment model of the gray fuzzy linguistic theory is established, which provides a scientific and reasonable method for the risk control of the railway tunnel construction.
Research conclusions: (1)For the risk factors in the process of railway tunnel construction, which have the characteristics of grey, fuzziness and randomness, the concept of interval grey fuzzy uncertain linguistic variables is given based on the theory of interval uncertain linguistic variables, and the railway tunnel construction risk assessment model of grey fuzzy linguistic theory is established. (2) From the 4 attributes of "safety, quality, construction period and environment", and 11 influencing factors such as natural weather and geological conditions, the risk analysis hierarchy is established. (3) A complex railway tunnel construction is taken as an example to verify the feasibility and effectiveness of the model. It is shown that geological conditions, natural weather, and other factors have great influence on railway tunnel construction. (4) The model can more comprehensively and truly use expert opinions to assess risk factors for the railway tunnel construction, and provide a scientific and reasonable basis for risk management and control of the complex railway tunnel construction.

Key words： railway tunnel construction risk assessment multi-attribute group decision-making interval gray fuzzy uncertain linguistic variables

Received: 05 May 2022

PACS:	U215.1
	U215.8

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	WANG Peng
	WEI Qiang
	WANG Jingchun
	ZHAO Guotang

Cite this article:

WANG Peng,WEI Qiang,WANG Jingchun, et al. Risk Assessment of Railway Tunnel Construction Based on Grey Fuzzy Linguistic Theory[J]. Journal of Railway Engineering Society, 2022, 39(11): 106-112.

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https://tdgcxb.crec.cn/EN/ OR https://tdgcxb.crec.cn/EN/Y2022/V39/I11/106

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