• Journal of Inorganic Materials
  • Vol. 35, Issue 5, 593 (2020)
Yongzhen ZHANG1、2, Xiaoyan TONG1, Leijiang YAO1、*, Bin LI1, and Guodong BAI1、2
Author Affiliations
  • 1National Key Laboratory of Science and Technology on UAV, Northwestern Polytechnical University, Xi’an 710072, China
  • 2School of Aeronautics, Northwestern Polytechnical University, Xi’an 710072, China
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    DOI: 10.15541/jim20190213 Cite this Article
    Yongzhen ZHANG, Xiaoyan TONG, Leijiang YAO, Bin LI, Guodong BAI. Acoustic Emission Pattern Recognition on Tensile Damage Process of C/SiC Composites Using an Improved Genetic Algorithm[J]. Journal of Inorganic Materials, 2020, 35(5): 593 Copy Citation Text show less
    Schematic drawing of the tensile specimen
    1. Schematic drawing of the tensile specimen
    Cluster analysis process based on the improved genetic algorithm
    2. Cluster analysis process based on the improved genetic algorithm
    Stress-strain curve and energy distribution of acoustic emission signal in tensile process
    3. Stress-strain curve and energy distribution of acoustic emission signal in tensile process
    Correlation dendrogram of the AE features
    4. Correlation dendrogram of the AE features
    CH&DB index change curves with K value of C/SiC specimen
    5. CH&DB index change curves with K value of C/SiC specimen
    Distribution of clustering results of acoustic emission signals
    6. Distribution of clustering results of acoustic emission signals
    Fracture SEM images of specimen
    7. Fracture SEM images of specimen
    Accumulated energy with strain and time
    8. Accumulated energy with strain and time
    Accumulated number of AE events with strain and time
    9. Accumulated number of AE events with strain and time
    Energy distributions of different damage modes during the tensile test
    10. Energy distributions of different damage modes during the tensile test
    ClusterCountEnergy/(mV·ms)Amplitude/mVAveragefrequency/kHzDamage mode
    11822863112Matrix cracking
    25969071136Interface failure
    33034266189Fiber breakage
    4146323777167Interlaminar delamination
    510703162882188Fiber bundle breakage
    Table 1. Numerical values of the clustering centers
    Yongzhen ZHANG, Xiaoyan TONG, Leijiang YAO, Bin LI, Guodong BAI. Acoustic Emission Pattern Recognition on Tensile Damage Process of C/SiC Composites Using an Improved Genetic Algorithm[J]. Journal of Inorganic Materials, 2020, 35(5): 593
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