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Probabilistic Analysis of Ground Movements Caused by Tunneling in a Spatially Variable Soil
The design and construction of a tunnel in urban areas is a significant undertaking that requires ensuring ground movements, preventing the adverse impact on adjacent structures. However, the conventional methods are always deterministic, rather than taking the natural spatial variability of soil properties into account. In this study, the spatial variability of the soil profile was modeled using a two-dimensional random field and coupled with numerical analysis to obtain a probabilistic characterization of surface deformations. It was assumed that random fields were generated on the basis of the covariance matrix decomposition method in a manner consistent with a specified numerical mesh. A series of parametric analyses were conducted to study the effects of uncertainty due to the variability of soil Young’s modulus on ground movements. The results demonstrate the presented computational framework to be effective in the assessment of surface deformations. The soil variability exerts the influence both on the magnitude and distribution of surface deformations, which depends on the magnitude of the soil variability. Furthermore, it is concluded that negligence of the variability of soil properties in the probability analysis of the surface settlement can lead to an underestimation of the probability of failure, compared to the traditional deterministic analysis.
Probabilistic Analysis of Ground Movements Caused by Tunneling in a Spatially Variable Soil
The design and construction of a tunnel in urban areas is a significant undertaking that requires ensuring ground movements, preventing the adverse impact on adjacent structures. However, the conventional methods are always deterministic, rather than taking the natural spatial variability of soil properties into account. In this study, the spatial variability of the soil profile was modeled using a two-dimensional random field and coupled with numerical analysis to obtain a probabilistic characterization of surface deformations. It was assumed that random fields were generated on the basis of the covariance matrix decomposition method in a manner consistent with a specified numerical mesh. A series of parametric analyses were conducted to study the effects of uncertainty due to the variability of soil Young’s modulus on ground movements. The results demonstrate the presented computational framework to be effective in the assessment of surface deformations. The soil variability exerts the influence both on the magnitude and distribution of surface deformations, which depends on the magnitude of the soil variability. Furthermore, it is concluded that negligence of the variability of soil properties in the probability analysis of the surface settlement can lead to an underestimation of the probability of failure, compared to the traditional deterministic analysis.
Probabilistic Analysis of Ground Movements Caused by Tunneling in a Spatially Variable Soil
Cheng, Hongzhan (author) / Chen, Jian (author) / Li, Jianbin (author)
2019-10-03
Article (Journal)
Electronic Resource
Unknown
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