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Debonding detection using a self-calibration sensor network

机译:使用自校准传感器网络进行脱胶检测

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Adhesively bonded joints between two plates are gradually receiving increasing acceptance in safety-critical structures, and therefore methods for nondestructive evaluation (NDE) of adhesive joints have drawn much attention. In this paper, specimens with lap splice joints are prepared for the purpose of guided-wave-based debonding damage detection. Fibre optic Doppler (FOD) sensors are used to acquire guided ultrasonic waves propagating in two kinds of bonded specimens, namely aluminium and carbon fibre reinforced plastic (CFRP) assemblies. To overcome the drawbacks of sensor networks in conventional structural health monitoring systems, a self-calibration sensor network is constructed based on elastic analyses of the bonded structures. By using the proposed sensor network, both the baseline measurement and the defect-related guided wave signals can be acquired in one excitation experiment. Moreover, complicated signal interpretation is also avoided by using the simplest feature, arrival time, of the ultrasonic wave signals.
机译:在安全关键型结构中,两块板之间的胶粘接头逐渐受到越来越多的接受,因此,胶粘接头的无损评估(NDE)方法备受关注。本文准备了带有搭接接头的试样,用于基于波的脱胶损伤检测。光纤多普勒(FOD)传感器用于获取在两种粘结样品中传播的引导超声波,这两种样品分别是铝和碳纤维增强塑料(CFRP)组件。为了克服常规结构健康监测系统中传感器网络的缺点,基于结合结构的弹性分析构造了自校准传感器网络。通过使用建议的传感器网络,可以在一个激励实验中获取基线测量值和与缺陷相关的导波信号。此外,通过使用超声波信号的最简单特征,即到达时间,也避免了复杂的信号解释。

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