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A Nonlinear Method for Characterizing Discrete Defects in Thick Multilayer Composites

机译:一种厚多层复合材料中离散缺陷的非线性方法

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摘要

Discrete defects in thick composites are difficult to detect for the small size and the structure noise that appears in multilayer composites. In this paper, a nonlinear method, called recurrence analysis, has been used for characterizing discrete defects in thick section Carbon Fiber Reinforced Polymer (CFRP) with complex lay-up. A 10 mm thick CFRP specimen with nearly zero porosity was selected, and blind holes with different diameters were artificially constructed in the specimen. The second half of the backscattered signal was analyzed by recurrence analysis for areas with or without a defect. The recurrence plot (RP) visualized the chaotic behavior of the ultrasonic pulse, and the statistical results of recurrence quantification analysis (RQA) characterized the instability of the signal and the effect of defects. The results show that the RQA variable differences are related to the size of blind holes, which give a probable detection of discrete geometric changes in thick multilayer composites.
机译:厚复合材料中的离散缺陷难以检测多层复合材料中出现的小尺寸和结构噪声。本文,一种称为复发分析的非线性方法,已被用于表征厚截面碳纤维增强聚合物(CFRP)的离散缺陷,复合叠层。选择具有几乎零孔隙率的10mm厚的CFRP样品,并且在样品中人工构造不同直径的盲孔。通过缺陷或没有缺陷的区域进行复发分析来分析反向散射信号的下半部分。复发曲线(RP)可视化超声波脉冲的混沌行为,复发定量分析(RQA)的统计结果表征了信号的不稳定性和缺陷的效果。结果表明,RQA可变差异与盲孔的尺寸有关,其表示厚多层复合材料中的离散几何变化可能检测。

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