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 …

The development of structural health monitoring (SHM) systems and their integration in
actual structures has become a necessity as it can provide a robust and low-cost solution for …

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 approach to substantially improve the detection accuracy of
structural damage via a one-dimensional convolutional neural network (1-D CNN) and a …

Suspension bridges are flexible and vibration sensitive structures that exhibit complex and
multi-modal vibration. Due to this, the usual vibration based methods could face a challenge …

Structural health monitoring is usually implemented by model-driven or data-driven
methods. Both of them have their advantages and disadvantages. This article proposes an …

This paper presents a novel vibration-based structural damage detection approach by using
a one-dimensional convolutional neural network (1-D CNN) and transfer learning (TL). The …

The traditional methods of structural health monitoring (SHM) have obvious disadvantages
such as being time-consuming, laborious and non-synchronizing, and so on. This paper …

Sensitivity-based methods by the model updating strategy are still influential and reliable for
structural damage detection. The major issue is to utilize a well-established sensitivity …

The vibration-based damage identification techniques use changes in modal properties of
structures to detect damages. However, the results of these methods are not reliable under …