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MODERN TUNNELLING TECHNOLOGY 2023, Vol. 60 Issue (4) :178-187    DOI:
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Study on Risk Level Classification Method and Control Measures for Railway Tunnel Floor Heave
(1. China Railway Eryuan Engineering Group Co., Ltd., Chengdu 610031; 2.State Key Laboratory of Geological Disaster Prevention and Geological Environment Protection, Chengdu University of Technology, Chengdu 610059)
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Abstract In recent years, the invert floor heave problem in high-speed railway tunnels has become prominent, which has seriously affected the running speed and safety of trains on the ballastless track. In order to accurately and quantitatively evaluate the risk level of railway tunnel floor heave, a study is conducted on the classification of risk levels and control measures for railway tunnel floor heave during the design and operation stages through investigation and analysis of floor heave deformation of some railway tunnels in China and in combination with the unascertained measure theory and the improved analytic hierarchy process. The research results indicate that, considering these factors such as geological environment, tunnel structural characteristics and floor heave characteristics, a risk level classification indicator system of floor heave including 5 Level I indicators and 11 Level II indicators is determined in the tunnel design stage; another risk level classification indicator system of floor heave including 6 Level I indicators and 15 Level II indicators is determined in the tunnel operation stage; According to the risk degree of rail? way tunnel floor heave defects, the risk levels of railway tunnel floor heave are divided into Level I, II, III and IV.The risk level evaluation method and process of railway tunnel floor heave are established based on the risk level of tunnel floor heave and the influence law of each indicator on floor heave; corresponding integrated control measures are prepared for the floor heave risk levels of railway tunnels during the design and operation stages.
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ZHAO Wanqiang1 LU Junfu2 TANG Yin1 ZHENG Changqing1
KeywordsRailway tunnel   Floor heave   Classification of risk levels   Judgment indicators   Control measures     
Abstract: In recent years, the invert floor heave problem in high-speed railway tunnels has become prominent, which has seriously affected the running speed and safety of trains on the ballastless track. In order to accurately and quantitatively evaluate the risk level of railway tunnel floor heave, a study is conducted on the classification of risk levels and control measures for railway tunnel floor heave during the design and operation stages through investigation and analysis of floor heave deformation of some railway tunnels in China and in combination with the unascertained measure theory and the improved analytic hierarchy process. The research results indicate that, considering these factors such as geological environment, tunnel structural characteristics and floor heave characteristics, a risk level classification indicator system of floor heave including 5 Level I indicators and 11 Level II indicators is determined in the tunnel design stage; another risk level classification indicator system of floor heave including 6 Level I indicators and 15 Level II indicators is determined in the tunnel operation stage; According to the risk degree of rail? way tunnel floor heave defects, the risk levels of railway tunnel floor heave are divided into Level I, II, III and IV.The risk level evaluation method and process of railway tunnel floor heave are established based on the risk level of tunnel floor heave and the influence law of each indicator on floor heave; corresponding integrated control measures are prepared for the floor heave risk levels of railway tunnels during the design and operation stages.
KeywordsRailway tunnel,   Floor heave,   Classification of risk levels,   Judgment indicators,   Control measures     
Cite this article:   
ZHAO Wanqiang1 LU Junfu2 TANG Yin1 ZHENG Changqing1 .Study on Risk Level Classification Method and Control Measures for Railway Tunnel Floor Heave[J]  MODERN TUNNELLING TECHNOLOGY, 2023,V60(4): 178-187
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