Bridge bearings are critical components in bridge structures because they ensure the
normal functioning of bridges by accommodating the long‐term horizontal movements …

The structural condition can be estimated by various methods. Damage detection, as one of
those methods, deals with identifying changes in specific features within structural behavior …

Existing deep learning (DL) models can detect wider or thicker segments of cracks that
occupy multiple pixels in the width direction, but fail to distinguish the thin tail shallow …

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 …

This study analyzed the mechanical and electrical characteristics of repair self-sensing
composites. In order to ensure homogeneous dispersion of carbon nanotubes (CNTs) in the …

Three Pennsylvanian bridges were studied using finite element and wireless sensor
technology. A detailed finite element model of each bridge was created using a commercial …

This study proposes a data‐driven method for predicting the probabilistic response of cable‐
stayed bridges. The proposed method is used to construct an optimal prediction model …

Traditional inspection methods, that is, total station, can be labor-intensive, time-consuming,
and efficiently challenging, especially for long-span cable-supported bridges. Recently …

The problem of population-based Structural Health Monitoring for composite aerostructures
via dynamic strain signals is experimentally investigated under high levels of population …

The objective of this study is to develop a monitoring algorithm that measures the
displacement of concrete structures using light detection and ranging (LiDAR). The …