Ye Lu

TL;DR: A comprehensive review on the state of the art of Lamb wave-based damage identification approaches for composite structures, addressing the advances and achievements in these techniques in the past decades, is provided in this paper.

TL;DR: In this paper, the interaction of Lamb wave modes at varying frequencies with a through-thickness crack of different lengths in aluminium plates was analyzed in terms of finite element method and experimental study.

TL;DR: An AI technique-based composite structure with the capability of structural health monitoring was developed and results indicate excellent performance of AI techniques in functionalized composite structures.

TL;DR: In this article, a Lamb wave-based crack identification technique for aluminium plates was developed with an integrated active piezoelectric sensor network, and a correlation function was further established, which helped identify the crack position based on a triangulation approach with the aid of a nonlinear least-squares optimization algorithm.

TL;DR: It is demonstrated that faster R‐CNN can automatically locate crack from raw images, even with the presence of handwriting scripts, as well as compared with You Only Look Once v2 detection technique.