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Effect of Soil Spatial Variability on Ground Settlement Induced by Shield Tunnelling
Excessive settlement caused by tunnelling during construction often damages adjacent infrastructures and utilities as well as presents a challenge in the maintenance of the tunnel during their operation. Thus, it’s important to make accurate prediction and effective control on tunnelling-induced settlement. Though soils under natural conditions is horizontally layered with spatial variability in its parameters, few studies have been dedicated to the influence of spatial variability on the ground settlement. Random finite difference analysis (RFDA) is employed to investigate the probabilistic behavior of the maximum ground settlement (Smax) induced by tunnelling in spatially varied soft soil in this paper. Random fields of soil’s Yong’s modulus are generated and mapped into finite difference analysis to reveal the influence of scale of fluctuation (SOF) on the ground settlement in both isotropic and anisotropic random fields. It is observed that ignoring the spatial variability of soil’s Young’s modulus leads to a underestimate of the risk of excessive ground settlement, and that it is not reasonable to simply assume an isotropic random field for tunnel excavation analysis without taking account of the horizontally layered nature of soils. The extreme spatial patterns shows that the critical region for ground settlement is located in the crown area of the tunnel, which should receive special attention and treatment if the ground settlement is to be effectively controlled.
Effect of Soil Spatial Variability on Ground Settlement Induced by Shield Tunnelling
Excessive settlement caused by tunnelling during construction often damages adjacent infrastructures and utilities as well as presents a challenge in the maintenance of the tunnel during their operation. Thus, it’s important to make accurate prediction and effective control on tunnelling-induced settlement. Though soils under natural conditions is horizontally layered with spatial variability in its parameters, few studies have been dedicated to the influence of spatial variability on the ground settlement. Random finite difference analysis (RFDA) is employed to investigate the probabilistic behavior of the maximum ground settlement (Smax) induced by tunnelling in spatially varied soft soil in this paper. Random fields of soil’s Yong’s modulus are generated and mapped into finite difference analysis to reveal the influence of scale of fluctuation (SOF) on the ground settlement in both isotropic and anisotropic random fields. It is observed that ignoring the spatial variability of soil’s Young’s modulus leads to a underestimate of the risk of excessive ground settlement, and that it is not reasonable to simply assume an isotropic random field for tunnel excavation analysis without taking account of the horizontally layered nature of soils. The extreme spatial patterns shows that the critical region for ground settlement is located in the crown area of the tunnel, which should receive special attention and treatment if the ground settlement is to be effectively controlled.
Effect of Soil Spatial Variability on Ground Settlement Induced by Shield Tunnelling
Xiao, Li (author) / Huang, Hongwei (author) / Zhang, Jie (author)
Geo-Risk 2017 ; 2017 ; Denver, Colorado
Geo-Risk 2017 ; 330-339
2017-06-01
Conference paper
Electronic Resource
English
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