Abstract

Due to the widespread application of carbon fiber woven composites in aerospace, automobile and industrial area, understanding the damage evolution of carbon fiber woven composites are the most important aspect with respect to service life. Damage initiation and propagation of composites require greater mass force and little force can cause the failure of the structure on composite materials once exceeding the critical threshold at the onset of damage. A better knowledge of dynamic behaviors for damage growth can help to improve structural optimization design and production of high-performance composites. In this study, the mechanical behaviors of composites were analyzed under uniaxial tensile loading tests. Simultaneously, the chronology of internal damage evolution process in composite was detected by acoustic emission (AE). The AE signals recorded is filtered by the Maxmin Distance algorithm and following the k-means algorithm was used to achieve damage modes recognition. Based on microscopic observations and frequency range, the three clusters are correlated with different damage mode like matrix cracking, fiber/matrix debonding and fiber breakage. In addition, the Sentry Function (SF) affected by the mechanical behavior of the material was adopted to investigate evolution of the acoustic events and verify the results of clustering results.

中文翻译：

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拉伸试验评估碳纤维编织复合材料的渐进损伤并确定破坏机理

摘要

由于碳纤维编织复合材料在航空航天，汽车和工业领域的广泛应用，因此了解碳纤维编织复合材料的损坏演变是使用寿命的最重要方面。复合材料的破坏引发和传播需要更大的质量力，而一旦超过破坏开始时的临界阈值，则很小的力就可能导致结构在复合材料上的破坏。更好地了解损伤增长的动态行为可以帮助改善结构优化设计和高性能复合材料的生产。在这项研究中，在单轴拉伸载荷试验下分析了复合材料的力学性能。同时，通过声发射（AE）检测复合材料内部损伤演化过程的时间顺序。记录的声发射信号通过最大距离算法进行滤波，并遵循k均值算法来实现损伤模式识别。基于微观观察和频率范围，这三个簇与不同的破坏模式相关，例如基体开裂，纤维/基体剥离和纤维断裂。此外，采用受材料机械性能影响的哨兵功能（SF）来研究声事件的演变并验证聚类结果。