Bridges play a crucial role in modern societies, regardless of their culture, geographical
location, or economic development. The safest, economical, and most resilient bridges are …

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 …

Deep learning has ushered in many breakthroughs in vision‐based detection via
convolutional neural networks (CNNs), but the vibration‐based structural damage detection …

Abstract Identifying damage through Structural Health Monitoring (SHM) methods is
increasingly attracting attention due to multiple maintenance and failure prevention …

Structural damage detection using unsupervised learning methods has been a trending
topic in the structural health monitoring (SHM) research community during the past decades …

Bridge damage detection has become increasingly important, but few related techniques
have been tested in situ on real bridges. For this study, a field experiment was conducted on …

Many efforts have been made in the last decade to define Automated Operational Modal
Analysis (AOMA) procedures able to process large datasets from long-term monitoring …

There is a need for reliable structural health monitoring (SHM) systems that can detect local
and global structural damage in existing steel bridges. In this paper, a data-based SHM …

There are a large number of time domain, frequency domain and time-frequency signal
processing methods available for univariate feature extraction. However, there is no …

Advanced data analysis techniques are of paramount importance for the Structural Health
Monitoring (SHM) of civil buildings and infrastructures. In particular, Automated Operational …