This study presents a comprehensive review of the history of research and development of
different damage-detection methods in the realm of composite structures. Different fields of …

Vibration-based damage detection is a range of methods that utilizes the dynamic response
of a structure to evaluate its condition and detect damage. It is an important approach for …

With the extensive use of structural health monitoring technologies, vibration-based
structural damage detection becomes a crucial task in both academic and industrial …

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

This paper presents a novel method for damage identification of steel-concrete composite
beams based on modal strain energy (MSE) changes through general regression neural …

High-frequency electromechanical impedance measured from the piezoelectric transducer
has been recognized as an effective indicator to infer minor damage occurrence. Over the …

The development of structural damage identification based on dynamic characteristics has
been suffering from certain issues, such as low computational efficiency and lack of high …

Vibration-based damage detection techniques play an important role in health monitoring of
offshore structures. This study explores the possibility to use the one-dimensional …

This paper introduces a novel deep learning model that integrates a variational autoencoder
(VAE) and a neural ordinary differential equation (ODE) for detecting abnormalities in wind …

A damage detection method is presented which combines the random decrement technique
(RDT) with long and short-term memory (LSTM) networks. The method uses the measured …