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Modeling and Analysis of Acoustic Emission Generated by Fatigue Cracking.
Mu, Weilei; Gao, Yuqing; Wang, Yuxue; Liu, Guijie; Hu, Hao.
Afiliación
  • Mu W; Engineering College, Ocean University of China, Qingdao 266100, China.
  • Gao Y; Suzhou Academy, Xi'an Jiaotong University, Suzhou 215123, China.
  • Wang Y; Engineering College, Ocean University of China, Qingdao 266100, China.
  • Liu G; Engineering College, Ocean University of China, Qingdao 266100, China.
  • Hu H; Engineering College, Ocean University of China, Qingdao 266100, China.
Sensors (Basel) ; 22(3)2022 Feb 05.
Article en En | MEDLINE | ID: mdl-35161962
The acoustic emission (AE) method is a popular and well-developed method for passive structural health monitoring of metallic and composite structures. The current study focuses on the analysis of one of its processes, sound source or signal propagation. This paper discusses the principle of plate wave signal sensing using piezoelectric transducers, and derives an analytical expression for the response of piezoelectric transducers under the action of stress waves, to obtain an overall mathematical model of the acoustic emission signal from generation to reception. The acoustic emission caused by fatigue crack extension is simulated by a finite element method, and the actual acoustic emission signal is simulated by a pencil lead break experiment. The results predicted by the mathematical model are compared with the experimental results and the simulation results, respectively, and show good agreement. In addition, the presence of obvious S0 mode Lamb waves is observed in the simulation results and experimental results, which further verifies the correctness of the analytical model prediction.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Sonido / Acústica Tipo de estudio: Prognostic_studies Idioma: En Revista: Sensors (Basel) Año: 2022 Tipo del documento: Article País de afiliación: China Pais de publicación: Suiza

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Sonido / Acústica Tipo de estudio: Prognostic_studies Idioma: En Revista: Sensors (Basel) Año: 2022 Tipo del documento: Article País de afiliación: China Pais de publicación: Suiza