Shield tunneling machine is an important large-scale engineering machine used for tunnel
excavation. During the tunneling process, precise cutterhead torque prediction is of vital …

This study proposes a hybrid deep learning approach for dynamic attitude and position
prediction of the tunnel boring machine (TBM) with high accuracy. By utilizing the key …

Shield machine deviation from the design tunnel axis (DTA) causes dislocation and damage
of the segments and may lead to poor tunnel quality, which is a primary concern in tunnel …

This paper establishes an intelligent framework for real-time prediction of trajectory
deviations in the process of earth pressure balance (EPB) tunnelling. A hybrid model was …

In this study, an intelligent PID (i-PID) controller is designed for position control of a
nonlinear electro-hydraulic system with uncertain valve characteristics and supply pressure …

To solve the problems of high-dimensional under-constraint and state unknowability in the
segment assembly process, this study develops a physics-guided deep learning approach …

The shield machine attitude (SMA) is the most important parameter in the process of tunnel
construction. To prevent the shield machine from deviating from the design axis (DTA) of the …

Timely and reliably predicting shield-position deviation is crucial to ensure the successful
completion of tunneling projects. In this study, a double-path hybrid deep neural networks …

The real-time control and prediction of attitude and moving trajectory in shield tunneling is
challenging, especially in the small radius of curvature. The present study focuses on …

Advances in intelligent shield machines reflect an evolving trend from traditional tunnel
boring machines (TBMs) to tunnel boring robots (TBRs). This shift aims to address the …