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 benefits of tracking, identifying, measuring features of interest from structure responses
have endless applications for saving cost, time and improving safety. To date, structural …

In this paper, we propose an efficient Artificial Neural Network (ANN) based on the global
search capacity of evolutionary algorithms (EAs) to identify damages in laminated composite …

Structural health monitoring for lightweight complex composite structures is being
investigated in this paper with a data-driven deep learning approach to facilitate automated …

Recently, more attention has been paid to Artificial Neural Network (ANN) in the field of
damage identification of engineering structures based on modal analysis. This paper …

The track of medical imaging has witnessed several advancements in the last years. Several
medical imaging modalities have appeared in the last decades including X-ray, Computed …

In civil engineering structures, modal changes produced by environmental conditions,
especially temperature, can be equivalent to or greater than the ones produced by damage …

Wavelet transform as a novel signal processing method for singularity detection has been
introduced into vibration-based nondestructive testing (NDT) methods. However, for plate …

This paper presents a new structural health monitoring strategy based on a deep learning
architecture that uses nonlinear ultrasonic signals for the automatic assessment of breathing …

In this paper, the modal curvatures of experimental and numerical reinforced concrete (RC)
beams were analyzed by wavelet transform to find the locations and severities of damages …