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Characterization and classification of modes in acoustic emission based on dispersion features and energy distribution analysis

机译:基于色散特征和能量分布分析的声发射模式表征与分类

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摘要

Acoustic Emission (AE) techniques are used for the structural health monitoring of civil, aeronautic and aerospace structures. Recently, these structures are made of composite materials due to their advantages over traditional materials, but this increases the interpretation complexity of the failure modes present. Therefore, in order to make AE a trustworthy technique, reliable source location and damage mechanism characterization must be accomplished. On that account, this work proposes a novel approach based on a chirplet atomic decomposition, time-frequency energy distribution and dispersion analysis, where the failure-emitted signals are separated from extraneous noise and the detected modes are analyzed according to their dispersive behaviour and angular dependence characteristics. Dispersion relations are obtained by the use of a higher order plate theory on a non-absorbing anisotropic plate model, and then used in conjunction with the previous methodologies for mode identification and localization. The proposed methodology and model are validated, and the capability of the method to overcome practical issues encountered in AE testing is demonstrated experimentally.
机译:声发射(AE)技术用于民用,航空和航天结构的结构健康监测。近来,由于这些结构相对于传统材料的优势,它们由复合材料制成,但是这增加了当前失效模式的解释复杂性。因此,为了使AE成为值得信赖的技术,必须实现可靠的震源定位和损坏机理表征。有鉴于此,这项工作提出了一种基于a线性原子分解,时频能量分布和色散分析的新颖方法,其中,将失败的信号与外部噪声分离,并根据其色散行为和角度分析检测到的模式依赖性特征。通过在非吸收性各向异性板模型上使用高阶板理论来获得色散关系,然后将其与以前的方法学结合用于模式识别和定位。验证了所提出的方法和模型,并通过实验证明了该方法克服AE测试中遇到的实际问题的能力。

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