T300碳纤维复合材料损伤声发射信号的有监督模式识别  

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

作　　者：李伟[1] 李英年[1] 蒋鹏[1] 王骁[1] 

机构地区：[1]东北石油大学机械科学与工程学院,大庆163318

出　　处：《无损检测》2016年第2期9-13,共5页Nondestructive Testing

基　　金：国家科技支撑计划资助项目(2012BAH28F03)

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°]_(14)T300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。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 realtime monitoring of failure of carbon fiber composites.

关 键 词：碳纤维复合材料 声发射 K-MEANS 有监督模式识别 

分 类 号：TG115.28[金属学及工艺—物理冶金]