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基于声发射和模式识别方法的单搭接剪切及单搭接铆接CFRP接头损伤扩展分析

Damage Propagation Analysis in the Single Lap Shear and Single Lap Shear-Riveted CFRP Joints by Acoustic Emission and Pattern Recognition Approach.

作者信息

Barile Claudia, Casavola Caterina, Pappalettera Giovanni, Vimalathithan Paramsamy Kannan

机构信息

Dipartimento di Meccanica Matematica e Management, Politecnico di Bari, Via Orabona 4, 70125 Bari, Italy.

出版信息

Materials (Basel). 2020 Sep 7;13(18):3963. doi: 10.3390/ma13183963.

Abstract

An innovative way of using the Acoustic Emission (AE) technique is introduced in this research work. The ratio of recorded acoustic energy and the counts recorded for each acoustic event were used for characterizing Carbon Fiber Reinforced Plastic (CFRP) laminates adhesively bonded with and without mechanical fasteners. The cumulative counts and cumulative energy of the recorded acoustic events were used for identifying the critical points of failure under loading of these hybrid joint specimens. The peak amplitude distribution was used for identifying the different damage modes such as delamination, matrix cracking and fiber breakage, albeit, ineffectively. The new parameter energy per count was introduced in this work, which can successfully identify the different damage modes under loading. To differentiate the damage modes using the energy per count, they were clustered using k-means++ pattern recognition technique. The method introduced in this work can estimate the damage modes of the CFRP specimens.

摘要

本研究工作介绍了一种使用声发射(AE)技术的创新方法。记录的声能与每个声事件记录的计数之比用于表征有无机械紧固件粘结的碳纤维增强塑料(CFRP)层压板。记录的声事件的累积计数和累积能量用于识别这些混合接头试样在加载下的失效临界点。峰值幅度分布用于识别不同的损伤模式,如分层、基体开裂和纤维断裂,尽管效果不佳。本工作引入了新参数“每计数能量”,它可以成功识别加载下的不同损伤模式。为了使用每计数能量区分损伤模式,使用k均值++模式识别技术对它们进行聚类。本工作中介绍的方法可以估计CFRP试样的损伤模式。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e2aa/7557615/453d9e9d7a72/materials-13-03963-g001.jpg

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