Advanced AE signal classification for studying the progression of fracture modes in loaded UD-GFRP
Advanced AE signal classification for studying the progression of fracture modes in loaded UD-GFRP
复制标题
高级 AE 信号分类，用于研究加载 UD-GFRP 中断裂模式的进展
DOI：
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发表时间：
1998
期刊：
影响因子：
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通讯作者：
K. Ono
中科院分区：
文献类型：
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作者：
N. Saito;M. Takemoto;H. Suzuki;K. Ono
为了研究加载UD-GFRP中各种微裂纹的发展过程，我们开发了一种先进的AE信号分类方法。我们使用的AE系统由三个子系统组成：子系统1监测面外位移。它与单通道宽带共振换能器（子系统2）检测到的AE信号同步。六个小型谐振换能器的子系统3用于P波的源定位和辐射图案分析。断裂模式进行了分类的源位置和P波辐射分析，其次是源模拟的192 AE事件，同时监测的子系统1和2。四种断裂模式的断裂动力学：模式-I纤维断裂，模式-I脱粘与不同的裂纹法线和模式-II脱粘，被识别的组合信号处理。然后，我们准备了四个参考图案的小波变换的AE信号监测子系统2的傅立叶相位图像，并通过计算参考图像和监测信号之间的相关因子分类627个事件。这些AE事件被正确地分为四个断裂模式，具有较高的区分能力。
With the aim of studying the progression of various microfractures in loaded UD-GFRP, we have developed an advanced classification method of AE signals. We used an AE system consisting of three sub-systems; Sub-system 1 monitors the out-of-plane displacement. It is synchronized with the AE signals detected by one-channel broad-band resonant transducer (sub-system 2). Sub-system 3 of six small size resonant transducers is used for the source location and radiation pattern analysis of the P-wave. Fracture mode was classified by the source location and P-wave radiation analysis, followed by the source simulation for 192 AE events, simultaneously monitored by sub-systems 1 and 2. Fracture dynamics of four fracture modes; Mode-I fiber fracture, Mode-I debonding with different crack normals and Mode-II disbonding, were identified by the combined signal processing. We then prepared four reference patterns of Fourier phase images of wavelet-transformed AE signals monitored by sub-system 2, and classified 627 events by computing the correlation factor between the reference images and those of the monitored signals. These AE events were correctly classified into four fracture modes with high discrimination capability.