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Abstract

Ground settlement during and after tunnelling using TBM results in varying dynamic and static load action on the geo-stratum. It is an undesirable effect of tunnel construction causing damage to the surface and subsurface infrastructure, safety risk, and increased construction cost and quality issues. Ground settlement can be influenced by several factors, like method of tunnelling, tunnel geometry, location of tunnelling machine, machine operational parameters, depth & its changes, and mileage of recording point from starting point. In this study, a description and evaluation of the performance of the arti?cial neural network (ANN)was undertaken and a comparison with multiple linear regression (MLR) was carried out on ground settlement prediction. The performance of these models was evaluated using the coefficient of determination R2, root mean square error (RMSE) and mean absolute percentage error (MAPE). For ANN model, the R2, RMSE and MAPE were calculated as 0.9295, 4.2563 and 3.3372, respectively, while for MLR, the R2, RMSE and MAPE, were calculated as 0.5053, 11.2708, 6.3963 respectively. For ground settlement prediction, bothANNandMLRmethodswere able to predict significantly accurate results. It was further noted that the ANN performance was higher than that of the MLR.
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Authors and Affiliations

Baoping Zou
1
ORCID: ORCID
Musa Chibawe
1
ORCID: ORCID
Bo Hu
1
ORCID: ORCID
Yansheng Deng
1
ORCID: ORCID

  1. School of Civil Engineering and Architecture, Zhejiang University of Science and Technology, Hangzhou 310023, China
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Abstract

The running speed of high-speed trains in the tunnel is as high as 350 km, which is very sensitive to the construction disturbance of the new shield tunnel. Therefore, it is of positive significance to study the influence of shield tunneling on existing high-speed railway lines and tunnel structures and control standards. Combined with centrifuge test and three-dimensional numerical simulation, the dynamic response of shield tunnel undercrossing existing high-speed railway tunnel is studied, and the influence of settlement joint and steel pipe pile reinforcement on existing tunnel is analyzed. Studies have shown that the existence of existing tunnels will reduce the surface settlement caused by tunnel excavation, but this shielding effect will be reduced if the influence of construction joints is considered. Therefore, if the construction joint is not considered in the numerical calculation, the ground deformation will be underestimated and the mechanical performance of the existing tunnel structure will be overestimated. In addition, steel pipe piles can effectively control the settlement of existing tunnels.
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Authors and Affiliations

Ruizhen Fei
1 2
ORCID: ORCID
Limin Peng
1
ORCID: ORCID
Chunlei Zhang
2
ORCID: ORCID
Jiqing Zhang
2
ORCID: ORCID
Peng Zhang
2
ORCID: ORCID

  1. Central South University, School of Civil Engineering, Changsha, 410075, China
  2. China Railway Design Corporation, Tianjin, 300142, China

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