With the advent of big data era, deep learning (DL) has become an essential research
subject in the field of artificial intelligence (AI). DL algorithms are characterized with powerful …

Geotechnical engineering deals with soils and rocks and their use in engineering
constructions. By their nature, soils and rocks exhibit complex behaviours and a high level of …

Real-time prediction of the rock mass class in front of the tunnel face is essential for the
adaptive adjustment of tunnel boring machines (TBMs). During the TBM tunnelling process …

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 …

The spatial information of rockhead is crucial for the design and construction of tunneling or
underground excavation. Although the conventional site investigation methods (ie borehole …

Cutterhead torque is an important operational parameter that reflects the obstruction degree
of geological environment to shield tunneling machine. Accurate multi-step prediction for …

Rainfall infiltration poses a disastrous threat to the slope stability in many regions around the
world. This paper proposes an extreme gradient boosting (XGBoost)-based stochastic …

Since early warning is significant to ensure high-quality tunneling boring machine (TBM)
construction, a real-time prediction method based on TBM data is proposed. To solve the …

This paper reviews literature on data-driven approaches for characterizing rock mass and
ground conditions in tunnels. There have been significant advances in the use of both …

Tunnel boring machine (TBM) vibration induced by cutting complex ground contains
essential information that can help engineers evaluate the interaction between a cutterhead …