Deep reinforcement learning approach to optimize the driving performance of shield tunnelling machines

K Elbaz, A Zhou, SL Shen - Tunnelling and Underground Space …, 2023 - Elsevier
This paper proposes a deep reinforcement learning (DRL)-based model as a valuable tool
to improve the performance of the driving system (ie thrust force and cutterhead torque) of a …

Mechanical behaviors of segments in small curvature radius intervals of shield tunnels: from field monitoring to laboratory testing

M Gao, F Li, Z Qiu, S Ye, J Xie, B Yang - Rock Mechanics and Rock …, 2023 - Springer
Shield tunnels, especially those with small curvature radii, are currently used in the
construction of underground rail transit, and they provide important support for the future …

Statistical and numerical analysis on characteristics and influence factors of construction cracks of large-diameter underwater shield tunnel: a case study

R Yang, Q Kong, M Ren, F Ji, D Li - Frontiers in Earth Science, 2023 - frontiersin.org
Tunnel excavation is prone to segment cracks, which may lead to serious safety accidents.
This work aims to investigate the type, location and occurrence time of cracks in a large …

The mechanical deformation characteristics of the internal structure of large diameter shield tunnel in different construction stages

X Zhang, Z Zhang, W Sun, J Hu, L Zhang… - Engineering …, 2023 - emerald.com
Purpose Under the repeated action of the construction load, opening deformation and
disturbed deformation occurred at the precast box culvert joints of the shield tunnel. The …

Tunnel lining segment deformation and cracking mechanisms during tunneling in complex mixed grounds with the combined mining and shield tunneling method

T Liu, S Zhang, K Yu, H Liu - KSCE Journal of Civil Engineering, 2023 - Springer
The combined mining and shield tunneling method solves the challenge that shield machine
is slow to excavate hard rock formations during tunneling in complex mixed grounds such as …