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The sizing of small surface-breaking fatigue cracks using ultrasonic arrays

机译:使用超声阵列对小的表面断裂疲劳裂纹进行尺寸测定

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Using ultrasonic arrays to detect and characterise surface breaking cracks is important in the non-destructive evaluation (NDE) field. It can provide early warning of failure and useful information for component integrity assessment. Typically, cracks are approximated by machined slots and used to examine and assess defect detection and characterisation methods. In this paper, real surface breaking cracks are fabricated in 3-point bending specimens following ASTM standard E1820 and used to examine the performance of two array defect characterisation methods: image-based and scattering matrix sizing. In both cases, an array is used to record the full matrix capture (FMC). In image-based sizing, the total focusing method (TFM) is used to form an image from which the defect size is measured directly. This approach is shown to work well for cracks greater than two wavelengths in size. The FMC is also used to extract the defect scattering matrix which is then compared to a pre-computed smooth-crack scattering matrix database. The best match between experiment and this database is found by cross-correlation and used to characterise the defect. This approach is shown to work well for defects in the range of 0.78–1.84 wavelengths. Within these ranges of applicability, both methods show excellent agreement between the known crack length and that measured ultrasonically, with errors less than 19% in all cases.
机译:在无损评估(NDE)领域中,使用超声阵列检测和表征表面破裂裂纹非常重要。它可以提供故障预警,并为组件完整性评估提供有用的信息。通常,裂纹是通过机加工的槽缝近似的,并用于检查和评估缺陷检测和表征方法。在本文中,按照ASTM标准E1820在三点弯曲试样中制造了实际的表面破裂裂纹,并用于检验两种阵列缺陷特征化方法的性能:基于图像的特征散布和基于散射矩阵的特征散布。在这两种情况下,都使用一个阵列来记录全矩阵捕获(FMC)。在基于图像的尺寸调整中,总聚焦方法(TFM)用于形成直接测量缺陷尺寸的图像。对于大于两个波长的裂纹,该方法显示出很好的效果。 FMC还用于提取缺陷散射矩阵,然后将其与预先计算的平滑裂纹散射矩阵数据库进行比较。通过互相关找到实验与该数据库之间的最佳匹配,并将其用于表征缺陷。事实证明,这种方法对于波长在0.78–1.84范围内的缺陷效果很好。在这些适用范围内,这两种方法均显示出已知裂纹长度和超声测量的裂纹长度之间的极佳一致性,在所有情况下误差均小于19%。

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