Your browser doesn't support javascript.
loading
A Review of Laser Ultrasonic Lamb Wave Damage Detection Methods for Thin-Walled Structures.
Zheng, Shanpu; Luo, Ying; Xu, Chenguang; Xu, Guidong.
Afiliação
  • Zheng S; Faculty of Civil Engineering and Mechanics, Jiangsu University, Zhenjiang 212013, China.
  • Luo Y; Faculty of Civil Engineering and Mechanics, Jiangsu University, Zhenjiang 212013, China.
  • Xu C; School of Physics and Electronic Engineering, Jiangsu University, Zhenjiang 212013, China.
  • Xu G; School of Physics and Electronic Engineering, Jiangsu University, Zhenjiang 212013, China.
Sensors (Basel) ; 23(6)2023 Mar 16.
Article em En | MEDLINE | ID: mdl-36991893
ABSTRACT
Thin-walled structures, like aircraft skins and ship shells, are often several meters in size but only a few millimeters thick. By utilizing the laser ultrasonic Lamb wave detection method (LU-LDM), signals can be detected over long distances without physical contact. Additionally, this technology offers excellent flexibility in designing the measurement point distribution. The characteristics of LU-LDM are first analyzed in this review, specifically in terms of laser ultrasound and hardware configuration. Next, the methods are categorized based on three criteria the quantity of collected wavefield data, the spectral domain, and the distribution of measurement points. The advantages and disadvantages of multiple methods are compared, and the suitable conditions for each method are summarized. Thirdly, we summarize four combined methods that balance detection efficiency and accuracy. Finally, several future development trends are suggested, and the current gaps and shortcomings in LU-LDM are highlighted. This review builds a comprehensive framework for LU-LDM for the first time, which is expected to serve as a technical reference for applying this technology in large, thin-walled structures.
Palavras-chave

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Diagnostic_studies Idioma: En Revista: Sensors (Basel) Ano de publicação: 2023 Tipo de documento: Article País de afiliação: China

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Diagnostic_studies Idioma: En Revista: Sensors (Basel) Ano de publicação: 2023 Tipo de documento: Article País de afiliação: China