[HTML][HTML] Review of analytical methods for stress and deformation analysis of buried water pipes considering pipe-soil interaction

YX Huo, SMMH Gomaa, T Zayed, M Meguid - Underground Space, 2023 - Elsevier
Buried water pipelines are vulnerable to fail or break due to excessive loading or ground
displacements. Accurate evaluation of pipe performance and serviceability relies on the …

[HTML][HTML] Centrifuge modelling of tunnelling below existing twin tunnels with different types of support

Q Fang, X Liu, K Zeng, X Zhang, M Zhou, J Du - Underground Space, 2022 - Elsevier
Tunnel excavation below existing tunnels produces ultimate and serviceability problems to
the existing tunnels. The behaviours of induced stresses on the existing tunnels haven't yet …

Hybrid meta-heuristic and machine learning algorithms for tunneling-induced settlement prediction: A comparative study

P Zhang, HN Wu, RP Chen, THT Chan - Tunnelling and Underground …, 2020 - Elsevier
Abstract Machine learning (ML) algorithms have been gradually used in predicting tunneling-
induced settlement, but there is no uniform process for establishing ML models and even …

[HTML][HTML] Prediction of maximum surface settlement caused by earth pressure balance (EPB) shield tunneling with ANN methods

RP Chen, P Zhang, X Kang, ZQ Zhong, Y Liu… - Soils and …, 2019 - Elsevier
In order to determine the appropriate model for predicting the maximum surface settlement
caused by EPB shield tunneling, three artificial neural network (ANN) methods, back …

Evolutionary hybrid neural network approach to predict shield tunneling-induced ground settlements

K Zhang, HM Lyu, SL Shen, A Zhou, ZY Yin - Tunnelling and Underground …, 2020 - Elsevier
This study proposes an artificial intelligence approach to predict ground settlement during
shield tunneling via considering the interactions among multi-factors, eg, geological …

Prediction of shield tunneling-induced ground settlement using machine learning techniques

R Chen, P Zhang, H Wu, Z Wang, Z Zhong - Frontiers of Structural and …, 2019 - Springer
Predicting the tunneling-induced maximum ground surface settlement is a complex problem
since the settlement depends on plenty of intrinsic and extrinsic factors. This study …

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 …

[HTML][HTML] Long-term tunnel behaviour and ground movements after tunnelling in clayey soils

K Soga, RG Laver, Z Li - Underground Space, 2017 - Elsevier
Long term ground movements above a tunnel may continue to increase with time after
tunnelling in clayey soils as the tunnelling-induced excess pore water pressures dissipate …

Real-time analysis and regulation of EPB shield steering using Random Forest

P Zhang, RP Chen, HN Wu - Automation In Construction, 2019 - Elsevier
Settlement control is an essential part of the tunnel construction process. This paper
proposes two novel computational models based on the Random Forest (RF) algorithm for …

Tunnels in sands: the effect of size, depth and volume loss on greenfield displacements

AM Marshall, RP Farrell, A Klar, R Mair - Géotechnique, 2012 - icevirtuallibrary.com
This paper examines the effect that tunnel size, depth and volume loss have on greenfield
soil displacements above tunnels in sandy ground. The results of a series of plane-strain …