Digital twins (DTs) offer promising benefits to address several inherent problems in
underground construction, yet confusion surrounds the concept due to its context-specific …

An improved real-time tunnel lining crack detection model based on YOLOv5 is proposed.
This model maintains high precision and accuracy crack detection in low-light, low-contrast …

Alongside the transition towards sustainable and renewable infrastructure and energy
production, tunnelling projects that adopt tunnel boring machines (TBM) continue to …

Urban sinkholes can cause subsidence damage to transportation infrastructures, building
demolitions and even casualties when they occur suddenly. It is hence essential to identify …

Aiming to quickly, accurately, and automatically recognize various defects (leakage, crack,
spalling) from massive metro tunnel lining image data, a two-step deep learning-based …

Abstract The prediction of Tunnel Boring Machine (TBM) performance typically requires
analyzing a significant amount of multi-source heterogeneous data, including information …

Small-coil transient electromagnetic systems are currently inadequate for precisely
identifying shallow subsurface targets in urban environments. In this study, the detection …

Tunnel cracks are a crucial indicator of tunnel detection and performance evaluation.
However, traditional manual inspection methods are time-consuming and dangerous. To …

Abstract Ground Penetrating Radar (GPR) is a popular non-destructive tool for detecting sub-
surface utilities such as pipelines and rebar, which typically produce hyperbolic patterns in …

During shield tunnel construction, grouting is injected between the segment and the
surrounding rock to ensure structural safety. However, defects may occur because of …