摘要
测定了UHMWPE/LDPE复合材料在准静态拉伸作用下的声发射(AE)信号,用无监督模式识别方法对预处理后的AE信号进行分类,据此分析了几种试样(0°、90°和[+45/°-45°])的损伤机制。研究表明,模式识别(PR)方法能识别出试样中基体开裂、纤维-基体界面脱粘、纤维抽拔和纤维断裂等损伤模式,识别结果与利用扫描电子显微镜(SEM)对破坏断面观察得到的结果一致。UHMWPE/LDPE复合材料的AE信号特征只受损伤模式的影响而与试样类型无关,PR方法能有效地区分不同损伤模式的AE信号,每种损伤模式的AE信号累计数对应变的关系曲线能清楚地反映复合材料的损伤进程。AE信号的PR分析为复合材料的损伤机制分析提供了准确依据。
UHMWPE/LDPE composites were tested to collect acoustic emission （AE） signals under a quasi-static tensile load. The unsupervised pattern recognition （PR） techniques were used to classify AE signals after their preprocessing. Damage mechanisms in several specimens （0°、90°and[＋45/°-45°]） were investigated according to the classifying results. The study shows that the PR technique is able to identify damage modes in the specimens such as matrix cracking, fiber-matrix debonding, fiber pullout, fiber breakage, etc. The identification results are the same with the observation results of the fracture surfaces of the specimens observed by a scanning electron microscope （SEM）. For UHMWPE/LDPE composites, the characteristics of the AE signal are not affected by the type of specimen but are dependent on the failure mode. The PR technique can classify the AE signals issued from different modes effectively. By the cumulative AE hits of each damage mode vs strain curves, the damage process of the specimens can be reviewed clearly. Using the PR technique on AE signals gives nicety evidence for the damage mechanisms analysis of composites.
出处
《复合材料学报》
EI
CAS
CSCD
北大核心
2008年第2期35-40,共6页
Acta Materiae Compositae Sinica
