When small damage is detected in its initial stage in a real structure, it is necessary to decide
if the user must repair immediately or keep on safely monitoring it. Regarding the second …

After detecting initial delamination damage in a hotspot region of a composite structure
monitored through a data-driven approach, the user needs to decide if there is an imminent …

In this paper, a damage quantification strategy relying on post-processing of Lamb wave
based damage localization results is presented. This method is able to predict the upcoming …

Deep learning has helped achieve breakthroughs in a variety of applications; however, the
lack of data from faulty states hinders the development of effective and robust diagnostic …

Localizing damage is a key aspect of monitoring composite laminate structural health. To
address the problem of generating the damage index (DI) of composite laminates using …

Structural health monitoring based on ultrasonics typically involves complex data analysis.
Ultrasound monitoring based on Lamb waves techniques are extensively used nowadays …

Damage diagnosis of thin-walled structures has been successfully performed through
methods based on tomography and machine learning-driven methods. According to …

This paper introduces a novel methodology for structural vibration analysis and vibration-
based monitoring which utilises a special type of Principal Components Analysis (PCA) …

This paper introduces a novel methodology for structural vibration analysis and vibration-
based monitoring which utilises a special type of Principal Components Analysis (PCA) …

Laminated composite structures suffer from delamination, the detachment of the layers due
to the rupture of the fiber-matrix interface, as their principal mode of failure. In contrast to …