Research on detecting structural damage at the earliest possible stage has been an
interesting topic for decades. Among them, the vibration-based damage detection method as …

The field of structural health monitoring (SHM) has gained significant attention from
academia and industry, particularly in the realm of damage detection. This approach allows …

Multiple damage identification in beams using curvature mode shape has become a
research focus of increasing interest during the last few years. On this topic, most existing …

Vibration-based damage detection in plates has been investigated by various methods
relying on mode shapes, among which the 2D curvature mode shape is a damage feature …

A fatigue crack that periodically opens and closes subject to a harmonic excitation can be
referred to as a breathing crack. Higher harmonics generated by breathing cracks can …

An evolutionary algorithm-based artificial neural network (ANN) to identify structural damage
and nonlinear hysteresis parameters simultaneously is presented. To avoid the 'dimensional …

Traditional statistical pattern identification methods, such as artificial neural network and
support vector machine, have limited ability to identify minor damage of bridges. Deep …

Modal curvature is one of the most important damage indices utilized in the damage
identification for composite structures. However, few kinds of sensors can provide the …

This study demonstrates an application of a previously proposed modal and wavelet
analysis-based damage identification method to a wind turbine blade. A trailing edge …

The detection of damage in bridges subjected to moving loads has attracted increasing
attention in the field of structural health monitoring. Processing the dynamic responses …