[HTML][HTML] Review of analytical methods for stress and deformation analysis of buried water pipes considering pipe-soil interaction
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 …
displacements. Accurate evaluation of pipe performance and serviceability relies on the …
[HTML][HTML] Comprehensive review and future perspectives on prediction and mitigation of tunnel-induced ground settlement: A bibliometric analysis and methodological …
Predicting and controlling tunnel-induced ground settlement is crucial for ensuring safety
and minimizing environmental impact. However, current research methods are varied, each …
and minimizing environmental impact. However, current research methods are varied, each …
[HTML][HTML] Centrifuge modelling of tunnelling below existing twin tunnels with different types of support
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 …
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
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 …
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
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 …
caused by EPB shield tunneling, three artificial neural network (ANN) methods, back …
Evolutionary hybrid neural network approach to predict shield tunneling-induced ground settlements
This study proposes an artificial intelligence approach to predict ground settlement during
shield tunneling via considering the interactions among multi-factors, eg, geological …
shield tunneling via considering the interactions among multi-factors, eg, geological …
A critical evaluation of machine learning and deep learning in shield-ground interaction prediction
The interaction between a shield machine and the ground is a complicated problem
involving numerous extrinsic and intrinsic factors. Machine learning (ML) algorithms have …
involving numerous extrinsic and intrinsic factors. Machine learning (ML) algorithms have …
Prediction of shield tunneling-induced ground settlement using machine learning techniques
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 …
since the settlement depends on plenty of intrinsic and extrinsic factors. This study …
Real-time analysis and regulation of EPB shield steering using Random Forest
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 …
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
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 …
soil displacements above tunnels in sandy ground. The results of a series of plane-strain …