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Structural Health Monitoring of Adhesively Bonded Components in Aerospace Structures: Temperature Effect on Guided Wave Based Macro-Fiber Composite Transduction and Damage Detection

机译:航空粘结组件的结构健康监测 - 基于波的宏观纤维复合转导及损伤检测温度效应

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Monitoring of adhesively bonded CFRP composite joints through the use of ultrasonic guided waves is the focus of this paper. The examined components are representative of the wing skin-to-spar joints of unmanned aerial vehicles (UAVs). The study investigates two different types of bond defects, namely poorly cured adhesive and disbonded interfaces. The guided wave propagation problem is analytically studied by a proposed model that accounts for all relevant temperature-dependent parameters of a pitch-catch system on a CFRP composite plate. Actuator-plate and plate-sensor interactions through shear-lag behavior, piezoelectric and dielectric permittivity properties of the transducers and Lamb wave dispersion properties of the substrate plate are included in the model. The model is used to predict the S_0 response spectra in a composite plate for the temperature range of -40°Cto +60°C, which represents normal aircraft operational variability. Multiple guided wave features are considered in both the time and frequency domains. The statistical variation of these features due to large fluctuations in ambient temperature is quantified and used to populate the baseline data set. Automated damage identification within the joints is successfully achieved under changing environmental conditions using a multivariate outlier analysis.
机译:通过使用超声波引导波来监测粘合的CFRP复合接头是本文的重点。所检查的组件代表无人驾驶飞行器(无人机)的机翼皮肤到翼梁关节。该研究调查了两种不同类型的粘合缺陷,即固化粘合剂和脱粘的界面。通过一个所提出的模型分析引导波传播问题,该模型考虑了CFRP复合板上的俯仰系统的所有相关温度相关参数。通过剪切滞后性的致动器 - 板和板式相互作用,换能器的压电和介电介电常数和基板板的λ和λ波形分散性的特性包括在模型中。该模型用于预测复合板中的S_0响应光谱,用于-40°CTO + 60°C的温度范围,这代表了正常的飞机操作变化。在时间和频率域中考虑多个引导波特征。由于环境温度大的大波动,这些特征的统计变化被量化并用于填充基线数据集。使用多元差异分析,在改变环境条件下成功实现了关节内的自动损坏。

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