Confining pressure forecasting of shield tunnel lining during construction based on LSTM-PSO models combined with the multi-output recursive strategy

XW Ye, YJ Wei, XL Zhang, Y Ding, YM Chen - Tunnelling and Underground …, 2024 - Elsevier
The confining pressure is the main source of the internal force of the shield tunnel.
Estimating confining pressure accurately holds a pivotal role in the analysis of the shield …

[HTML][HTML] Confining Pressure Forecasting of Shield Tunnel Lining Based on GRU Model and RNN Model

M Wang, XW Ye, JD Jia, XH Ying, Y Ding, D Zhang… - Sensors, 2024 - mdpi.com
The confining pressure has a great effect on the internal force of the tunnel. During
construction, the confining pressure which has a crucial impact on tunnel construction …

LSTM-based deformation forecasting for additional stress estimation of existing tunnel structure induced by adjacent shield tunneling

XW Ye, SY Ma, ZX Liu, YB Chen, CR Lu… - … and Underground Space …, 2024 - Elsevier
A redistribution of stress is caused by the excavation of a new tunnel within the soil
surrounding the existing shield tunnel structure. This stress redistribution results in …

A critical evaluation of machine learning and deep learning in shield-ground interaction prediction

P Zhang, HN Wu, RP Chen, T Dai, FY Meng… - … and Underground Space …, 2020 - Elsevier
The interaction between a shield machine and the ground is a complicated problem
involving numerous extrinsic and intrinsic factors. Machine learning (ML) algorithms have …

Prediction for the future mechanical behavior of underwater shield tunnel fusing deep learning algorithm on SHM data

X Tan, W Chen, X Tan, T Zou, B Du - Tunnelling and Underground Space …, 2022 - Elsevier
Predicting the future mechanical behavior of tunnel structure is vitally important to prevent
accident disasters. However, in most of the existing models, the inadequate consideration …

[HTML][HTML] Hybrid random forest-based models for earth pressure balance tunneling-induced ground settlement prediction

P Yang, W Yong, C Li, K Peng, W Wei, Y Qiu, J Zhou - Applied Sciences, 2023 - mdpi.com
Featured Application This paper employs intelligent methods to forecast ground settlement
caused by tunnel construction in order to provide a solid foundation for risk warning and risk …

Time-series prediction of shield movement performance during tunneling based on hybrid model

SS Lin, N Zhang, A Zhou, SL Shen - Tunnelling and Underground Space …, 2022 - Elsevier
This study presents a hybrid model based on the particle swarm optimization (PSO)
algorithm and a long short-term memory (LSTM) neural network. PSO can determine the …

Enhanced prediction intervals of tunnel-induced settlement using the genetic algorithm and neural network

L Feng, L Zhang - Reliability Engineering & System Safety, 2022 - Elsevier
This paper constructs the prediction intervals (PIs) of the tunnels' settlement caused by the
shielding steering process. The hybrid genetic algorithm-neural network (GA-NN) is …

Machine learning-based forecasting of soil settlement induced by shield tunneling construction

XW Ye, T Jin, YM Chen - Tunnelling and Underground Space Technology, 2022 - Elsevier
The subway systems have greatly released the pressure of ground traffic, but shield
construction will cause considerable disturbance to the surrounding soil. Consequently …

Prediction of maximum upward displacement of shield tunnel linings during construction using particle swarm optimization-random forest algorithm

X Ye, X Zhang, Y Chen, Y Wei, Y Ding - Journal of Zhejiang University …, 2024 - Springer
During construction, the shield linings of tunnels often face the problem of local or overall
upward movement after leaving the shield tail in soft soil areas or during some large …