Modeling and Analysis of Acoustic Emission Generated by Fatigue Cracking
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 w...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2022-02-01
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| Series: | Sensors |
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| Online Access: | https://www.mdpi.com/1424-8220/22/3/1208 |
| _version_ | 1797484565186478080 |
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| author | Weilei Mu Yuqing Gao Yuxue Wang Guijie Liu Hao Hu |
| author_facet | Weilei Mu Yuqing Gao Yuxue Wang Guijie Liu Hao Hu |
| author_sort | Weilei Mu |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-03-09T23:07:11Z |
| format | Article |
| id | doaj.art-bbac2585f0134ad39b9ea9e78b6de826 |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-03-09T23:07:11Z |
| publishDate | 2022-02-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-bbac2585f0134ad39b9ea9e78b6de8262023-11-23T17:52:25ZengMDPI AGSensors1424-82202022-02-01223120810.3390/s22031208Modeling and Analysis of Acoustic Emission Generated by Fatigue CrackingWeilei Mu0Yuqing Gao1Yuxue Wang2Guijie Liu3Hao Hu4Engineering College, Ocean University of China, Qingdao 266100, ChinaEngineering College, Ocean University of China, Qingdao 266100, ChinaEngineering College, Ocean University of China, Qingdao 266100, ChinaEngineering College, Ocean University of China, Qingdao 266100, ChinaQingdao Research Institute & School of Marine Science and Technology, Northwestern Polytechnical University, Xi’an 710072, ChinaThe 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.https://www.mdpi.com/1424-8220/22/3/1208acoustic emission (AE)fatigue crack growthpredictive modeling |
| spellingShingle | Weilei Mu Yuqing Gao Yuxue Wang Guijie Liu Hao Hu Modeling and Analysis of Acoustic Emission Generated by Fatigue Cracking Sensors acoustic emission (AE) fatigue crack growth predictive modeling |
| title | Modeling and Analysis of Acoustic Emission Generated by Fatigue Cracking |
| title_full | Modeling and Analysis of Acoustic Emission Generated by Fatigue Cracking |
| title_fullStr | Modeling and Analysis of Acoustic Emission Generated by Fatigue Cracking |
| title_full_unstemmed | Modeling and Analysis of Acoustic Emission Generated by Fatigue Cracking |
| title_short | Modeling and Analysis of Acoustic Emission Generated by Fatigue Cracking |
| title_sort | modeling and analysis of acoustic emission generated by fatigue cracking |
| topic | acoustic emission (AE) fatigue crack growth predictive modeling |
| url | https://www.mdpi.com/1424-8220/22/3/1208 |
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