The health monitoring system of a bridge is an important guarantee for the safe operation of
the bridge and has always been a research hotspot in the field of civil engineering. This …

The main aim of using the IoT paradigm is related to the possibility of a connectivity
extension of several common SHM devices by means of Internet. The connected devices are …

Over the last decades, the rising number of aging infrastructures has progressively fueled
much interest toward the field of structural health monitoring. Following the increasing …

Vibration-based damage identification methods have proven to be effective in identifying
damage in various structures by employing modal parameters. This paper presents and …

Fatigue cracks in bridges are inspected visually by specialized bridge inspection
professionals. Bridge inspectors conduct inspections in a limited amount of time, and at …

Structural health monitoring (SHM) systems have been increasingly employed to continually
assess the current state of bridges. However, the vast amounts of sensor data generated by …

Among various methods proposed for health monitoring of structures, deep learning‐based
techniques with their powerful performance have attracted considerable attention in recent …

The effectiveness of system identification, damage detection, condition assessment and
other structural analyses relies heavily on the accuracy and reliability of the measured data …

This article introduces a new method for assessing the damage in steel girders of highway
bridges using deep neural networks. The method uses modified forms of modal strain …

Data-driven damage-detection schemes are usually unsupervised machine-learning models
in practice, as these do not require any training. Vibration-based features are commonly …