Journal of Inorganic Materials, Volume. 35, Issue 5, 593(2020)

Acoustic Emission Pattern Recognition on Tensile Damage Process of C/SiC Composites Using an Improved Genetic Algorithm

Yongzhen ZHANG1...2, Xiaoyan TONG1, Leijiang YAO1,*, Bin LI1, and Guodong BAI12 |Show fewer author(s)
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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    Figures & Tables(11)
    Schematic drawing of the tensile specimen
    Cluster analysis process based on the improved genetic algorithm
    Stress-strain curve and energy distribution of acoustic emission signal in tensile process
    Correlation dendrogram of the AE features
    CH&DB index change curves with K value of C/SiC specimen
    Distribution of clustering results of acoustic emission signals
    Fracture SEM images of specimen
    Accumulated energy with strain and time
    Accumulated number of AE events with strain and time
    Energy distributions of different damage modes during the tensile test
    • Table 1. Numerical values of the clustering centers

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      Table 1. Numerical values of the clustering centers

      ClusterCountEnergy/(mV·ms)Amplitude/mVAveragefrequency/kHzDamage mode
      11822863112Matrix cracking
      25969071136Interface failure
      33034266189Fiber breakage
      4146323777167Interlaminar delamination
      510703162882188Fiber bundle breakage
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    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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    Paper Information

    Category: RESEARCH PAPER

    Received: May. 9, 2019

    Accepted: --

    Published Online: Mar. 1, 2021

    The Author Email: YAO Leijiang (yaolj@nwpu.edu.cn)

    DOI:10.15541/jim20190213

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