Compressive damage evolution analysis of self-healing SiC/SiC composites based on acoustic emission pattern recognition
The compression test of self-healing SiC/SiC was carried out, and acoustic emission (AE) signals were simultaneously collected. Using the AE signal pattern recognition and the sentry function based on AE, the mechanical property and damage evolution process were studied. Combined with the SEM observ...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
AIP Publishing LLC
2023-10-01
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| Series: | AIP Advances |
| Online Access: | http://dx.doi.org/10.1063/5.0166525 |
| _version_ | 1797634169979797504 |
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| author | Jinpeng Yang Leijiang Yao Yongzhen Zhang Bin Li Xiaoyan Tong |
| author_facet | Jinpeng Yang Leijiang Yao Yongzhen Zhang Bin Li Xiaoyan Tong |
| author_sort | Jinpeng Yang |
| collection | DOAJ |
| description | The compression test of self-healing SiC/SiC was carried out, and acoustic emission (AE) signals were simultaneously collected. Using the AE signal pattern recognition and the sentry function based on AE, the mechanical property and damage evolution process were studied. Combined with the SEM observation of the fracture surface, four damage modes, namely, matrix cracking, interface debonding, interface friction, and fiber shear breakage, were identified, and their typical AE characteristics were obtained. According to the pattern recognition result and the trend of the sentry function, it is found that although the loading curve is approximately linear, the failure process can actually be divided into four stages. The sentry function provides an early warning before the catastrophic failure of SiC/SiC. The ultimate strength, lower than the maximum stress, can be defined from the damage evolution identified by AE. |
| first_indexed | 2024-03-11T12:03:49Z |
| format | Article |
| id | doaj.art-8d3168363393498a8c54c069a30a475f |
| institution | Directory Open Access Journal |
| issn | 2158-3226 |
| language | English |
| last_indexed | 2024-03-11T12:03:49Z |
| publishDate | 2023-10-01 |
| publisher | AIP Publishing LLC |
| record_format | Article |
| series | AIP Advances |
| spelling | doaj.art-8d3168363393498a8c54c069a30a475f2023-11-07T17:47:01ZengAIP Publishing LLCAIP Advances2158-32262023-10-011310105317105317-1010.1063/5.0166525Compressive damage evolution analysis of self-healing SiC/SiC composites based on acoustic emission pattern recognitionJinpeng Yang0Leijiang Yao1Yongzhen Zhang2Bin Li3Xiaoyan Tong4National Key Laboratory of Science and Technology on UAV, Northwestern Polytechnical University, Xi’an 710072, People’s Republic of ChinaNational Key Laboratory of Science and Technology on UAV, Northwestern Polytechnical University, Xi’an 710072, People’s Republic of ChinaInstitute of Corrosion Science and Technology, Guangzhou 510535, People’s Republic of ChinaNational Key Laboratory of Science and Technology on UAV, Northwestern Polytechnical University, Xi’an 710072, People’s Republic of ChinaNational Key Laboratory of Science and Technology on UAV, Northwestern Polytechnical University, Xi’an 710072, People’s Republic of ChinaThe compression test of self-healing SiC/SiC was carried out, and acoustic emission (AE) signals were simultaneously collected. Using the AE signal pattern recognition and the sentry function based on AE, the mechanical property and damage evolution process were studied. Combined with the SEM observation of the fracture surface, four damage modes, namely, matrix cracking, interface debonding, interface friction, and fiber shear breakage, were identified, and their typical AE characteristics were obtained. According to the pattern recognition result and the trend of the sentry function, it is found that although the loading curve is approximately linear, the failure process can actually be divided into four stages. The sentry function provides an early warning before the catastrophic failure of SiC/SiC. The ultimate strength, lower than the maximum stress, can be defined from the damage evolution identified by AE.http://dx.doi.org/10.1063/5.0166525 |
| spellingShingle | Jinpeng Yang Leijiang Yao Yongzhen Zhang Bin Li Xiaoyan Tong Compressive damage evolution analysis of self-healing SiC/SiC composites based on acoustic emission pattern recognition AIP Advances |
| title | Compressive damage evolution analysis of self-healing SiC/SiC composites based on acoustic emission pattern recognition |
| title_full | Compressive damage evolution analysis of self-healing SiC/SiC composites based on acoustic emission pattern recognition |
| title_fullStr | Compressive damage evolution analysis of self-healing SiC/SiC composites based on acoustic emission pattern recognition |
| title_full_unstemmed | Compressive damage evolution analysis of self-healing SiC/SiC composites based on acoustic emission pattern recognition |
| title_short | Compressive damage evolution analysis of self-healing SiC/SiC composites based on acoustic emission pattern recognition |
| title_sort | compressive damage evolution analysis of self healing sic sic composites based on acoustic emission pattern recognition |
| url | http://dx.doi.org/10.1063/5.0166525 |
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