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Inverse Characterization of Adhesive Shear Modulus in Bonded Stiffeners using Ultrasonic Guided Waves

机译:超声波引导波粘合加强筋粘合模量的逆表征

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Adhesively bonded stiffeners are widely used in aerospace structures. A well-cured bond can increase structural stiffness, and, consequently, enhance the performance of the entire structure. The feasibility of feature-guided wave modes for the inspection of the bond line adhesion in difficult-to-access regions has been already investigated in the literature. However, due to the complexity of the guide wave phenomena in the bond line region, a more comprehensive methodology to identify the curing state remains an open issue. This work introduces a multi-mode and multi-frequency inverse method for the characterization of stiffener bonded line using Semi-Analytical Finite Element (SAFE). Experiments were conducted on a T-shaped stiffener bonded to an aluminum plate. The feature-guided modes were excited using a piezoelectric shear transducer and measured using a laser interferometer at several times along a period of four days. The experimental dispersion curves were computed from the measured data and then systematically compared to the theoretical solutions obtained with the SAFE model. At each measurement, the shear modulus of the adhesive material could be estimated by iteratively minimizing the error between the experimental and numerical data. The results showed an abrupt increase in the shear modulus from the first to the second day, suggesting that the end of the curing processes was achieved. In general, the inverse scheme presented in this work was shown to be very sensitive, being able to distinguish differences of 5% in the shear modulus.
机译:粘合粘合的加强筋广泛用于航空航天结构。固化粘接粘接可以增加结构刚度,从而提高整个结构的性能。在文献中已经研究了在难以接近区域中检查粘合线粘附的特征引导波模式的可行性。然而,由于债券线区域中导向波现象的复杂性,更全面的方法来识别固化状态仍然是一个开放问题。该工作引入了使用半分析有限元(安全)表征加强粘连线的多模和多频率逆方法。在与铝板粘合的T形加强筋上进行实验。使用压电剪切换能器激发特征引导模式,并在四天的时间内使用激光干涉仪测量。从测量数据计算实验分散曲线,然后系统地与使用安全模型获得的理论溶液进行系统。在每次测量时,可以通过迭代最小化实验和数值数据之间的误差来估计粘合材料的剪切模量。结果表明,从第一次到第二天的剪切模量突然增加,表明达到固化过程的结束。通常,在该工作中提出的逆方案显示出非常敏感,能够区分剪切模量的差异为5%。

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