Traditional impedance-based bolt-looseness monitoring approaches using hand-crafted
impedance features can lead to difficulties in quantitative damage severity estimation. In this …

Recently, remarkable advances have been made in statistical analyses based on deep-
learning techniques. Applied studies of deep learning have been reported in various …

Bolts, as the basic units of tunnel linings, are crucial to safe tunnel service. Caused by the
moist and complex environment in the tunnel, corrosion becomes a significant defect of …

Corrosion is a significant issue in a wide variety of industrial sectors. It's very important to
develop a reliable and speedy automatic corrosion detection technology. The present study …

While prestressing technology is increasingly implemented in civil infrastructures worldwide,
on-site identification of loosened strands and estimation of looseness extent remain a …

Railway infrastructure monitoring is crucial for transportation reliability and travelers' safety.
However, it requires plenty of human resources that generate high costs and is limited to the …

Steel bolted joint is an important part of steel structure, and its damage directly affects the
bearing capacity and durability of steel structure. Currently, the existing research mainly …

The application of deep learning (DL) algorithms has become of great interest in recent
years due to their superior performance in structural damage identification, including the …

Steel structures are susceptible to corrosion due to their exposure to the environment.
Currently used non-destructive techniques require inspector involvement. Inaccessibility of …

Bolted connections are widely used in steel structures. Detection of bolt loosening is the
prime concern in the bolted joints to avoid sudden failure leading to catastrophe. Loosening …