Modal frequencies are widely used for vibration‐based structural health monitoring (SHM)
and for capturing the dynamics of a monitored structure to reveal possible failures. However …

Abstract Machine learning has become an influential and useful tool for many civil
engineering applications, particularly structural health monitoring (SHM). For this reason …

Damage detection in bridge structures has always been challenging, particularly for long‐
span bridges with complex structural forms. In this study, a partial‐model‐based damage …

Environmental effects induce deceptive variability in unlabeled vibration data for structural
health monitoring (SHM). Although unsupervised learning is an effective solution to this …

Structural damage detection using inclinometers is getting wide attention from researchers.
However, the high price of inclinometers limits this system to unique structures with a …

Dealing with the problem of large volumes of high-dimensional features and detecting
damage under ambient vibration are critical to structural health monitoring. To address these …

Structural health monitoring (SHM) by using remote sensing and synthetic aperture radar
(SAR) images is a promising approach to assessing the safety and the integrity of civil …

Vibration-based damage detection in civil structures using data-driven methods requires
sufficient vibration responses acquired with a sensor network. Due to technical and …

The development of satellite sensors and interferometry synthetic aperture radar (InSAR)
technology has enabled the exploitation of their benefits for long-term structural health …

Recently, long-term structural health monitoring (SHM) of civil structures by using the
technology of remote sensing has received increasing attention by civil engineers. This is …