Neural network-based strategies require balanced training datasets to avoid creating
unreliable classification and prediction models. While these strategies are commonly used …

This paper proposes a novel damage index for railway bridges based on synchronous strain
and displacement data collected at the passage of trains. The approach identifies a …

The study presents the data-driven applications of continuous wavelet transforms (CWT),
orbit-shaped analysis and convolutional neural networks (CNN) using GoogLeNet for …

Polymer-ceramic composites are commonly used as flexoelectric films. In existing studies,
the flexoelectric effect of composites are generally improved by adjusting the material …

Damage detection in bridges is essential to prevent major accidents, especially for arch
bridges, but there is still a lack of rapid and accurate damage detection methods. This paper …

The diagnosis of structural damage usually belongs to a mathematical inverse problem. This
work presents a novel frequency-shift flexibility sensitivity algorithm for structural damage …

The present research devised a cluster-based discriminant analysis of factor analysis
loadings and aimed at disseminating and popularizing it in structural health monitoring. The …

Transport infrastructure serves as a vital component for facilitating the movement of people
and goods, contributing significantly to sustainable development and territorial cohesion …

Transport infrastructure serves as a vital component for facilitating the movement of people
and goods, contributing significantly to sustainable development and territorial cohesion …

Accurate acquisition of potential damage areas is a prerequisite for precise detection of
bridge damage. The single-temporal terrestrial laser scanning (TLS) technique can be used …