A 3D sliced-soil–beam model for settlement prediction of tunnelling using the pipe roofing method in soft ground

Yu DIAO, Yiming XUE, Weiqiang PAN, Gang ZHENG, Ying ZHANG, Dawei ZHANG, Haizuo ZHOU, Tianqi ZHANG

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Front. Struct. Civ. Eng. ›› 2023, Vol. 17 ›› Issue (12) : 1934-1948. DOI: 10.1007/s11709-023-0038-2
RESEARCH ARTICLE

A 3D sliced-soil–beam model for settlement prediction of tunnelling using the pipe roofing method in soft ground

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Abstract

The pipe roofing method is widely used in tunnel construction because it can realize a flexible section shape and a large section area of the tunnel, especially under good ground conditions. However, the pipe roofing method has rarely been applied in soft ground, where the prediction and control of the ground settlement play important roles. This study proposes a sliced-soil–beam (SSB) model to predict the settlement of ground due to tunnelling using the pipe roofing method in soft ground. The model comprises a sliced-soil module based on the virtual work principle and a beam module based on structural mechanics. As part of this work, the Peck formula was modified for a square-section tunnel and adopted to construct a deformation mechanism of soft ground. The pipe roofing system was simplified to a three-dimensional Winkler beam to consider the interaction between the soil and pipe roofing. The model was verified in a case study conducted in Shanghai, China, in which it provided the efficient and accurate prediction of settlement. Finally, the parameters affecting the ground settlement were analyzed. It was clarified that the stiffness of the excavated soil and the steel support are the key factors in reducing ground settlement.

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Keywords

pipe roofing method / soft ground / numerical simulation / settlement prediction / simplified calculation / parametric analysis

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Yu DIAO, Yiming XUE, Weiqiang PAN, Gang ZHENG, Ying ZHANG, Dawei ZHANG, Haizuo ZHOU, Tianqi ZHANG. A 3D sliced-soil–beam model for settlement prediction of tunnelling using the pipe roofing method in soft ground. Front. Struct. Civ. Eng., 2023, 17(12): 1934‒1948 https://doi.org/10.1007/s11709-023-0038-2

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Notation

A constant in displacement equations
[ Av] general stiffness matrix of the beam
B constant in displacement equations
c effective cohesion
cu undrained shear strength of the soft ground
C thickness of the overlying soil layer
dt diameter of pipe i
d1 outer diameter of a pipe
d2 inner diameter of a pipe
D diameter of the circular-section tunnel
Dt diameter of the equivalent tunnel
E pipe elastic modulus
Es12 soil compression modulus
E50 ref reference secant shear modulus
Eoedref reference oedometer modulus
Eurref reference unloading–reloading modulus
G0 r ef reference shear modulus at very low strains
H height of the square-section tunnel
iz settlement trough width
ks foundation reaction coefficient
ks1 latticed improvement stiffness
ks2 layered improvement stiffness
kt inner steel support stiffness
[k] foundation stiffness matrix that is a combination of kt and ks
K0 coefficient of earth pressure at rest
kt parameter in the Peck formula
L width of the square-section tunnel
m power for the stress-level dependency of stiffness
pref reference pressure
Pps equivalent supporting pressure from the pipe roofing
Psp earth pressure on the pipe roofing
{qi} force acting on node i
Rf failure ratio
vm maximum ground settlement
Vlosss soil volume loss
Vlossp tunnel section shrinkage
Vlosstrial trial tunnel section shrinkage
{wi} displacement of each beam
z depth below the ground face
Z0 central depth of the tunnel
Zm maximum depth of the mechanism
α parameter controlling the shape of the mechanism
β power exponent of the stress–strain power curve
φ effective internal friction angle
γ0.7 shear strain corresponding to 0.7G0ref
γs shear strain
γs,f shear strain at maximum shear strength
v Poisson’s ratio of a pipe
vur Poisson’s ratio of unloading and reloading
νs Poisson’s ratio of the soil
ρ unit weight of the soil
ρs density of a pipe
τ shear strength
ψ dilation angle

Acknowledgements

This work was supported by the National Natural Science Foundation of China (Grant No. 52178342), the Tianjin Natural Science Foundation (No. 21JCZDJC00590), and the Shanghai Excellent Academic/Technical Leader Program (No. 20XD1432500).

Data availability statements

The data sets generated during and/or analyzed in the current study are available from the corresponding author on reasonable request.

Conflict of Interest

The authors declare that they have no conflict of interest.

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2023 Higher Education Press
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