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Damage Localization in Plate-like Structures Using Guided Ultrasonic Waves Edge Reflections

机译:使用引导超声波边缘反射的板状结构造成损坏板状结构

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This paper proposes a novel idea for ultrasonic imaging of plate structures with a small number of permanently attached ultrasonic sensors. Guided ultrasonic waves excited and captured by a single actuator-sensor pair suffice as input for the proposed imaging technique. Taking advantage of several reflections from boundaries and geometric features of plates, the number of inspection lines is artificially increased. Only the first antisymmetric mode (A0) is used for imaging, because it has higher excitability than the first symmetric mode (S0) and simpler reflection behavior. Mode conversion from reflections is avoided by exciting below the first cut-off frequency of higher order propagating antisymmetric modes. The path and distance traveled by each echo is calculated using a ray tracking model, and a drop in energy of each echo compared to its baseline is associated with the presence of damage. Dispersion curves are used to calculate wave velocity and expected arrival times of the reflected echoes. Based on the expected time of arrival, a gate is defined for each echo, and an energy comparison is conducted for the high energy gated portion of the echo. A probabilistic method for image reconstruction is also proposed to locate damage. The proposed imaging method combines information from several inspection paths using a Bayesian probabilistic framework. To validate the approach, experiments have been carried out on an aluminum plate, instrumented with only two permanently attached low profile circular piezoelectric sensors. A tone burst packet is used an input excitation, and multiple echoed packets have been recorded at a receiving sensor. A large C-clamp is used to locally scatter the waves and simulate damage. Damage is simulated in nine locations, and the proposed method achieves notable success in localizing the applied damage with only two sensors.
机译:本文提出了具有少量永久连接的超声传感器的板结构超声成像的新颖思想。由单个执行器传感器对激发和捕获的引导超声波只为提出的成像技术的输入。利用板的边界和几何特征的几个反射,检查线的数量是人为地增加的。仅使用第一反对称模式(A0)进行成像,因为它具有比第一对称模式(S0)更高的兴奋性和更简单的反射行为。通过低于高阶传播反对称模式的第一截止频率,避免了从反射的模式转换。通过光线跟踪模型计算每个回波行进的路径和距离,与其基线相比,每个回波的能量下降与损坏的存在相关。色散曲线用于计算反射回波的波速和预期到达时间。基于所需的到达时间,为每个回波定义门,并且对回波的高能门控部分进行能量比较。还提出了一种图像重建的概率方法来定位损坏。所提出的成像方法使用贝叶斯概率框架将来自多个检查路径的信息组合。为了验证方法,实验已经在铝板上进行,仅用两个永久连接的低轮廓圆形压电传感器仪表。音调突发分组用于输入激励,并且已经在接收传感器处记录多个回音分组。大型C-Clamp用于局部散射波浪并模拟损坏。在九个位置模拟损坏,所提出的方法在本地化两个传感器时,实现了显着的成功。

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