Compressive damage evolution analysis of self-healing SiC/SiC composites based on acoustic emission pattern recognition
Source abstract
Abstract
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.
Source: crossref · Quality: baseline
Research context
OpenAlex topics: Advanced ceramic materials synthesis · Rock Mechanics and Modeling · Concrete and Cement Materials Research
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
National Key Laboratory of Science and Technology on UAV, Northwestern Polytechnical University 1 , Xi’an 710072, People’s Republic of China
School of Aeronautics, Northwestern Polytechnical University 2 , Xi’an 710072, People’s Republic of China
Institute of Corrosion Science and Technology 3 , Guangzhou 510535, People’s Republic of China
Funding
Materials Service Safety Assessment Facilities · National Natural Science Foundation of China
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