With the development of structural health monitoring (SHM) technology, digital of long-span
bridge construction has become the focus of intelligent construction in the future. Data have …

Structural displacement monitoring is one of the major tasks of structural health monitoring
and it is a significant challenge for research and engineering practices relating to large …

Bridge influence line plays an important role in evaluating bridge condition, which are
usually identified by either time domain or frequency domain methods. Time domain …

Deep learning techniques improve the detection performance of objects by expanding the
depth of network and increasing the complexity of model structure, however, this makes it …

The research on the application scenarios of smart bridge management platforms is of great
significance to improve the efficiency and safety of bridge management. Although there have …

To improve the detection rate in the bridge anomaly detection, this study proposes an
anomaly pattern detection method based on the time-varying temperature–displacement …

Cracking is one of the most common bridge diseases. If bridge cracks are not repaired: in
time, they may cause gradual changes to the concrete structure, which can seriously affect …

Bridge cables exhibit low dam** characteristics and are susceptible to external
excitations, leading to random vibrations. Therefore, a cable cross‐tie triboelectric …

We present a new Global Navigation Satellite Systems (GNSS) positioning approach that
utilizes low-rate Virtual Reference Station (VRS) data to achieve high-rate displacement …

In this paper, a new fiber Bragg grating (FBG) strain sensor with adjustable sensitivity is
invented. The sensitivity adjustment, strain sensing, and temperature compensation …