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A platform for research: civil engineering, architecture and urbanism
Effect of ground surface surcharge on deformational performance of tunnel in spatially variable soil
https://orcid.org/0000-0002-2640-042X
Abstract This study investigates the coupled effect of the soil spatial variations and the disturbance of ground surface on the existing tunnel using random finite difference method (RFDM). The soil Young's modulus is highlighted and simulated with horizontally stratified anisotropic random field that is discretized by the Karhunen-Loeve expansion. The surface surcharge is characterized from the statistics of field cases. The 46,800 Monte Carlo simulations are adopted to quantitatively evaluate the deformational performance of the tunnel. It demonstrates that neglecting spatial variability will cause an underestimation of the tunnel convergence, especially when it is severely disturbed by nearby environments, such as the large surface surcharge in this paper. The surface surcharge mainly affects the mean value of tunnel convergence, and the coefficient of variation is largely influenced by the soil inherent spatial variability. In addition, an amplification factor is proposed to simplify considering the impact of spatial variability. The factor charts incorporating different randomness levels are given for practical use. Results show that an amplification coefficient of 2.5 can cover the most scenarios of soil formation considering the soil spatial variability with 95% confidence level.
Effect of ground surface surcharge on deformational performance of tunnel in spatially variable soil
https://orcid.org/0000-0002-2640-042X
Abstract This study investigates the coupled effect of the soil spatial variations and the disturbance of ground surface on the existing tunnel using random finite difference method (RFDM). The soil Young's modulus is highlighted and simulated with horizontally stratified anisotropic random field that is discretized by the Karhunen-Loeve expansion. The surface surcharge is characterized from the statistics of field cases. The 46,800 Monte Carlo simulations are adopted to quantitatively evaluate the deformational performance of the tunnel. It demonstrates that neglecting spatial variability will cause an underestimation of the tunnel convergence, especially when it is severely disturbed by nearby environments, such as the large surface surcharge in this paper. The surface surcharge mainly affects the mean value of tunnel convergence, and the coefficient of variation is largely influenced by the soil inherent spatial variability. In addition, an amplification factor is proposed to simplify considering the impact of spatial variability. The factor charts incorporating different randomness levels are given for practical use. Results show that an amplification coefficient of 2.5 can cover the most scenarios of soil formation considering the soil spatial variability with 95% confidence level.
Effect of ground surface surcharge on deformational performance of tunnel in spatially variable soil
https://orcid.org/0000-0002-2640-042X
Abstract This study investigates the coupled effect of the soil spatial variations and the disturbance of ground surface on the existing tunnel using random finite difference method (RFDM). The soil Young's modulus is highlighted and simulated with horizontally stratified anisotropic random field that is discretized by the Karhunen-Loeve expansion. The surface surcharge is characterized from the statistics of field cases. The 46,800 Monte Carlo simulations are adopted to quantitatively evaluate the deformational performance of the tunnel. It demonstrates that neglecting spatial variability will cause an underestimation of the tunnel convergence, especially when it is severely disturbed by nearby environments, such as the large surface surcharge in this paper. The surface surcharge mainly affects the mean value of tunnel convergence, and the coefficient of variation is largely influenced by the soil inherent spatial variability. In addition, an amplification factor is proposed to simplify considering the impact of spatial variability. The factor charts incorporating different randomness levels are given for practical use. Results show that an amplification coefficient of 2.5 can cover the most scenarios of soil formation considering the soil spatial variability with 95% confidence level.
Effect of ground surface surcharge on deformational performance of tunnel in spatially variable soil
Zhang, Jin-Zhang (author) / Huang, Hong-Wei (author) / Zhang, Dong-Ming (author) / Zhou, Ming-Liang (author) / Tang, Chong (author) / Liu, De-Jun (author)
2021-05-06
Article (Journal)
Electronic Resource
English
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