T300碳纤维复合材料损伤声发射信号的有监督模式识别

基金项目:

国家科技支撑计划资助项目(2012BAH28F03)

详细信息

The Supervision Pattern Recognition of AE Signals of T300 Carbon Fiber Composite Material Damages

摘要: 对T300碳纤维复合材料板拉伸断裂过程进行了声发射监测。在试验和渐进损伤分析的基础上, 应用K-means聚类判定了［0°/90°］14T300碳纤维复合材料板拉伸断裂信号的失效形式, 并对该聚类模型进行了有监督的训练和测试, 将其应用到相似未知损伤信号中, 很好地完成了模式识别。试验结果为今后实时监测碳纤维复合材料损伤提供了科学依据。
- 碳纤维复合材料 /
- 声发射 /
- K-means /
- 有监督模式识别
Abstract: The acoustic emission technology (AE) was used to monitor the tensile failure process of T300 carbon fiber composite material plate. Based on the test and progressive damage analysis,K-means clustering was applied to determine failure pattern of tensile damage signals of ［0°/90°］14 T300 carbon fiber composite material plate, and the clustering model was trained and tested under the supervision. The classification model was applied to the other similar data,and signals were well sorted.The above-mentioned method can thus provide a scientific basis for real-time monitoring of failure of carbon fiber composites.
- Carbon fiber composite material /
- Acoustic emission /
- K-means /
- Supervision pattern recognition

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