• 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

    Abstract

    The acoustic emission data collected during room temperature tensile test of 2D-C/SiC composites were analyzed by hierarchical clustering and unsupervised pattern recognition method based on an improved genetic algorithm. Combined with the SEM observation on the fracture surface, five damage modes were identified and their typical acoustic emission characteristics were obtained. According to the analysis of energy distribution, cumulative event number and cumulative energy of different damage modes, the damage evolution process of C/SiC composites can be divided into four stages. The first stage (damage initiation stage) shows mainly matrix microcracks and interface debonding. In the second stage, matrix crack reaches saturated and then causes a considerable quantity of interlaminar delamination and fiber failure. The third stage is a gradual damage development stage and all kinds of damage keep occurring except the breakage of fiber bundles. In the last stage, a large amount of fiber bundles break and the sample eventually fails.
    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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