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Condition evaluation of urban metro shield tunnels in Shanghai through multiple indicators multiple causes model combined with multiple regression method

机译:多指标多原因模型结合多元回归方法的上海市城市盾构隧道状态评价

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Many existing condition evaluations of metro shield tunnels are developed based on the experts' judgments or single deformation/defect measurements. In addition, the influence of factors such as buried depth and age on the condition of shield tunnels was not quantified in previous research. This study proposed a comprehensive condition index, the Tunnel Serviceability Index (TSI), through the Multiple Indicators Multiple Causes (MIMIC) model combined with a multiple regression method. The contributions of the deformation/defect variables and the influencing factors to the TSI were evaluated. The observed deformation/defect variables included average relative settlement, differential settlement, average convergence ratio, water leakage area, cracking length, and spalling area. The influencing factors included the operation age, burial depth, and so on. The relationship among the TSI, deformation/defect variables, and influence factors was quantified, and an expression for the TSI was obtained. The paired-sample t test demonstrated that there were no significant differences between the experts' ratings in our group's previous research and the tunnel condition evaluation used by the MIMIC model in this study at the significance level alpha = 0.05. Among the six observed deformation and defect variables, approximately 95% of the TSI deterioration was caused by the increase of convergence ratio, relative settlement and differential settlement. Finally, the case of Shanghai Metro Line No. 1 was investigated to evaluate its condition.
机译:基于专家的判断或单个变形/缺陷测量结果,开发了许多现存的地铁盾构隧道状况评估。此外,在以前的研究中还没有量化掩埋深度和年龄等因素对盾构隧道条件的影响。这项研究通过多指标多原因(MIMIC)模型与多元回归方法相结合,提出了一个综合条件指数,即隧道可服务性指数(TSI)。评估了变形/缺陷变量和影响因素对TSI的贡献。观察到的变形/缺陷变量包括平均相对沉降,微分沉降,平均收敛率,漏水面积,开裂长度和剥落面积。影响因素包括手术年龄,埋葬深度等。量化了TSI,变形/缺陷变量和影响因素之间的关系,并获得了TSI的表达式。配对样本t检验表明,本组先前研究的专家评级与MIMIC模型在本研究中使用的隧道条件评估在显着性水平α= 0.05之间没有显着差异。在观察到的六个变形和缺陷变量中,约95%的TSI劣化是由会聚比,相对沉降和微分沉降的增加引起的。最后,以上海地铁1号线为例,对其状况进行了评估。

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