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首页> 外文期刊>Smart Materials & Structures >Image reconstruction and characterisation of defects in a carbon fibre/epoxy composite monitored with guided waves
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Image reconstruction and characterisation of defects in a carbon fibre/epoxy composite monitored with guided waves

机译：用引导波监测碳纤维/环氧复合材料缺陷的图像重建与表征

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In this extensive experimental study, the structural health monitoring (SHM) of a large 1 m x 1 m carbon fibre reinforced polymer laminate was performed using guided waves. Multiple hole- and crack-type defects were induced in the structure and the guided wave signals were collected using a circular network of piezoelectric disc transducers permanently bonded to the structure. Images representing each damage state of the composite plate were obtained by applying the (total focusing method, TFM with full matrix capture) on guided wave signals. Several variations in the image reconstruction algorithm were investigated by using two different baselines-pristine signals or signals collected during the last damage state-, processing only the positive amplitude by implementing a lower limit threshold and normalising the signals. The algorithms' ability to detect and localise multiple defects, inside and outside the array, including holes as small as 2 mm in diameter, was evaluated. TFM images, involving the use of a lower threshold limit in the signal processing, resulted in more accurate detection. In addition, images obtained using both types of baseline provided complementary information leading to increased confidence in the system. All defects in the plate were detected and located even in the presence of multiple defects. Also, regions corresponding to crack- and hole-type of defects in the resulting images were identified, quantified and differentiated using geometric circularity and eccentricity shape factors. This ability of accurately identifying multiple defects and reducing location error are important contributions in the effort of establishing a reliable SHM system for multi-layered composite structures.
机译：在这种广泛的实验研究中，使用引导波进行大1M×1M碳纤维增强聚合物层压体的结构健康监测（SHM）。在结构中诱导多孔和裂缝型缺陷，并且使用永久地粘合到结构的压电盘换能器的圆形网络收集引导波信号。通过在引导波信号上施加（总对焦方法，具有全矩阵捕获）来获得表示复合板的每个损坏状态的图像。通过使用在最后损坏状态期间收集的两个不同的基线 - 原始信号或通过在最后的损坏期间收集的信号来研究图像重建算法的若干变化，通过实现下限阈值并归一化信号来处理正幅度。评估了算法的检测和定位多个缺陷的能力，阵列内外，包括直径小于2mm的孔的阵列内外。 TFM图像，涉及在信号处理中使用较低的阈值限制，导致更准确的检测。另外，使用两种类型的基线获得的图像提供了互补信息，导致对系统的信心增加。在存在多种缺陷的情况下，检测到板中的所有缺陷并位于缺陷。而且，使用几何圆形度和偏心形状因子来识别，量化和分化对应于所得图像中的裂缝和孔型的区域的区域。这种准确识别多种缺陷和降低位置误差的能力是建立用于多层复合结构的可靠SHM系统的重要贡献。

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