A review of vibration-based damage detection in civil structures: From traditional methods to Machine Learning and Deep Learning applications
Monitoring structural damage is extremely important for sustaining and preserving the
service life of civil structures. While successful monitoring provides resolute and staunch …
service life of civil structures. While successful monitoring provides resolute and staunch …
A review on recent developments in vibration-based damage identification methods for laminated composite structures: 2010–2022
Laminated composites received great attention in the structural applications due to
innumerable advantages over conventional materials. These structures are subjected to …
innumerable advantages over conventional materials. These structures are subjected to …
[HTML][HTML] The damage effect on the dynamic characteristics of FRP-strengthened reinforced concrete structures
The present work aims to assess the modal properties of reinforced concrete structures
strengthened with FRP-based systems subjected to progressive damage. In particular, an …
strengthened with FRP-based systems subjected to progressive damage. In particular, an …
Non-parametric empirical machine learning for short-term and long-term structural health monitoring
Early damage detection is an initial step of structural health monitoring. Thanks to recent
advances in sensing technology, the application of data-driven methods based on the …
advances in sensing technology, the application of data-driven methods based on the …
An unsupervised learning approach by novel damage indices in structural health monitoring for damage localization and quantification
The aim of this article is to propose novel damage indices for damage localization and
quantification based on time series modeling. In order to extract damage-sensitive features …
quantification based on time series modeling. In order to extract damage-sensitive features …
Condition assessment of cables by pattern recognition of vehicle-induced cable tension ratio
The stay cables are one of most critical elements for cable-stayed bridges. This paper
proposes a machine-learning based condition assessment method for stay cables by using …
proposes a machine-learning based condition assessment method for stay cables by using …
Selecting optimum levels of wavelet multi‐resolution analysis for time‐varying signals in structural health monitoring
Although the effectiveness of discrete wavelet transform (DWT) for analyzing time‐varying
measurements has been studied for mechanical and civil engineering applications, a few …
measurements has been studied for mechanical and civil engineering applications, a few …
Application of supervised learning to validation of damage detection
Unsupervised learning methods are effective and suitable tools for damage detection. The
main reason for the popularity of these methods in structural health monitoring originates …
main reason for the popularity of these methods in structural health monitoring originates …
Data-driven damage identification technique for steel truss railroad bridges utilizing principal component analysis of strain response
Railway bridges are a critical part of the railway infrastructure system and the majority of
these bridges are approaching their expected design lifespan. These bridges need to be …
these bridges are approaching their expected design lifespan. These bridges need to be …
Structural identification and damage detection through long-gauge strain measurements
Strain measurements from traditional point-type gauges only reveal structural local
information. This feature significantly limits the development and application of strain modal …
information. This feature significantly limits the development and application of strain modal …