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A methodology for estimating guided wave scattering patterns from sparse transducer array measurements

机译:从稀疏换能器阵列测量估计导波散射图的方法

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摘要

Ultrasonic guided waves are one of the primary methods being investigated for structural health monitoring of plate-like components. A common practice is to collect measurements from a sparse transducer array using the pitch-catch method, which enables interrogation of defects from multiple directions. Thus, knowledge of how guided waves scatter from defects is very useful for detection, localization, and characterization of damage. One way to describe scattering patterns is with a matrix indexed by incident angle and scattered angle, and sparse array measurements essentially sample this matrix. A methodology is proposed in this paper to estimate the complete scattering matrix from these limited array measurements. First, recorded array signals are compensated for geometric spreading loss, wave packet spreading loss, and transducer differences. Initial scattering values are then extracted from the scattered wave packets after baseline subtraction and are augmented using transducer reciprocity and any a priori knowledge of defect geometric symmetry. Finally, radial basis function interpolation is performed on these values to obtain the complete scattering matrix. Scattering matrices are generated from experimental data by cutting notches of different lengths originating from a through-hole in an aluminum plate specimen that is instrumented with a sparse transducer array. The methodology is validated by laser vibrometry measurements performed on a nominally identical specimen for one notch length.
机译:超声导波是研究板状部件结构健康状况的主要方法之一。一种常见的做法是使用音调捕获方法从稀疏换能器阵列中收集测量值,该方法可以从多个方向询问缺陷。因此,有关导波如何从缺陷中散射的知识对于损坏的检测,定位和表征非常有用。描述散射模式的一种方法是使用由入射角和散射角索引的矩阵,稀疏阵列测量实质上是对该矩阵进行采样。本文提出了一种从这些有限的阵列测量中估计完整散射矩阵的方法。首先,对记录的阵列信号进行几何扩展损耗,波包扩展损耗和换能器差异的补偿。然后,在减去基线之后,从散射波包中提取初始散射值,并使用换能器互易性和任何缺陷几何对称性的先验知识来增加初始散射值。最后,对这些值进行径向基函数插值,以获得完整的散射矩阵。通过切割不同长度的凹口,从实验数据中生成散射矩阵,这些凹口起源于装有稀疏换能器阵列的铝板样本中的通孔。该方法通过在名义上相同的试样上进行一个缺口长度的激光振动测量法进行了验证。

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