万灵,邢豫林,吴继海,等. 盾构隧道脱空病害的动力特征与定位分析[J]. 失效分析与预防,2026,21(3):222-230,248. doi: 10.3969/j.issn.1673-6214.2026.03.005
    引用本文: 万灵,邢豫林,吴继海,等. 盾构隧道脱空病害的动力特征与定位分析[J]. 失效分析与预防,2026,21(3):222-230,248. doi: 10.3969/j.issn.1673-6214.2026.03.005
    WAN Ling,XING Yulin,WU Jihai,et al. Dynamic evolution characteristics and damage identification of shield tunnel under void disease[J]. Failure analysis and prevention,2026,21(3):222-230,248. doi: 10.3969/j.issn.1673-6214.2026.03.005
    Citation: WAN Ling,XING Yulin,WU Jihai,et al. Dynamic evolution characteristics and damage identification of shield tunnel under void disease[J]. Failure analysis and prevention,2026,21(3):222-230,248. doi: 10.3969/j.issn.1673-6214.2026.03.005

    盾构隧道脱空病害的动力特征与定位分析

    Dynamic Evolution Characteristics and Damage Identification of Shield Tunnel Under Void Disease

    • 摘要: 运营期盾构隧道受地下水环境、列车循环荷载及地面交通荷载等因素交替作用,极易产生隧道壁后脱空病害,导致结构存在运营安全隐患。本文以运营期盾构隧道脱空病害为研究对象,将隧道脱空病害进行参数化处理,定量描述脱空病害程度;以上海某地铁隧道为工程背景,基于摄动理论分析隧道结构在无脱空损伤和存在不同程度脱空工况下的模态特征及动态特征演化规律;最后引入模态应变能指数(MSEI)进行脱空位置的探定。结果表明:摄动理论能够较好地分析盾构隧道壁后脱空病害的动态特征,同时MSEI指数均高于0.5,能够对脱空位置进行有效探定,可为隧道脱空病害的探定分析及隧道健康监测提供理论依据。

       

      Abstract: During the operational period, shield tunnels are subjected to the alternating effects of factors such as the groundwater environment, cyclic train loads, and ground traffic loads, making them highly susceptible to the development of voids behind the tunnel walls. Such void diseases pose potential risks to the operational safety of the tunnel structure. Taking the void disease in operational shield tunnels as the research object, that parameterizes the void disease to describe its severity quantitatively. Using a metro tunnel as the engineering background, this study analyzes the modal characteristics and dynamic characteristic evolution laws of the tunnel structure under working conditions with no void damage and varying degrees of voids based on perturbation theory. Finally, the modal strain energy indicator (MSEI) is introduced to detect the location of voids. The results demonstrate that perturbation theory can effectively analyze the dynamic characteristics of voids behind shield tunnel linings, and MSEI can effectively detect the locations of voids. This study provides a theoretical basis for the detection, analysis of tunnel void diseases and monitoring of tunnel health.

       

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