Aiming to solve the challenges of low detection accuracy, poor anti‐interference ability, and
slow detection speed in the traditional tunnel lining defect detection methods, a novel deep …

In the field of tunnel lining crack identification, the semantic segmentation algorithms based
on convolution neural network (CNN) are extensively used. Owing to the inherent locality of …

Water leakage has become the main defect that affects the safe operation of shield tunnels
in the saturated stratum. Long-term leakage is proven to change the load distribution and …

Rubber gaskets are commonly adopted as the waterproof component in shield tunnels for
their outstanding sealing performance. The contact pressure between surfaces generated by …

Structural health monitoring (SHM) combined with digital image technology has been widely
applied to infrastructure operation management. However, the linear illumination of the …

Segmental joints act as a weak link in the tunnel lining both in terms of structural responses
(due to the lower stiffness and strength compared to the main segments) and the …

To address the dual challenges of complex environmental interference and multiscale
targets in deep learning-based tunnel lining defect identification, a novel segmentation …

Water leakage is a major issue for shield tunnels in both the construction and operational
stages. The practical solution in industry with relation to the prevention of groundwater …

When a shield machine moves along a curved alignment or corrects a deviation, the
asymmetric thrust of the propulsion cylinder generates an additional bending moment at the …

Seepage is one of the major defects that plague the operational safety of mountain tunnels.
Because the mechanism is very complex and influenced by many factors, traditional …