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Ultrasound Nondestructive Evaluation (NDE) Imaging with Transducer Arrays and Adaptive Processing

机译:具有换能器阵列和自适应处理的超声无损评估(NDE)成像

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This paper addresses the challenging problem of ultrasonic non-destructive evaluation (NDE) imaging with adaptive transducer arrays. In NDE applications, most materials like concrete, stainless steel and carbon-reinforced composites used extensively in industries and civil engineering exhibit heterogeneous internal structure. When inspected using ultrasound, the signals from defects are significantly corrupted by the echoes form randomly distributed scatterers, even defects that are much larger than these random reflectors are difficult to detect with the conventional delay-and-sum operation. We propose to apply adaptive beamforming to the received data samples to reduce the interference and clutter noise. Beamforming is to manipulate the array beam pattern by appropriately weighting the per-element delayed data samples prior to summing them. The adaptive weights are computed from the statistical analysis of the data samples. This delay-weight-and-sum process can be explained as applying a lateral spatial filter to the signals across the probe aperture. Simulations show that the clutter noise is reduced by more than 30 dB and the lateral resolution is enhanced simultaneously when adaptive beamforming is applied. In experiments inspecting a steel block with side-drilled holes, good quantitative agreement with simulation results is demonstrated.
机译:本文解决了具有自适应换能器阵列的超声无损评估(NDE)成像的挑战性问题。在NDE应用中,大多数在工业和土木工程中广泛使用的材料(例如混凝土,不锈钢和碳增强复合材料)呈现出异质的内部结构。当使用超声波检查时,来自缺陷的信号会受到来自随机分布的散射体的回波的严重破坏,即使是比这些随机反射器大得多的缺陷也很难通过常规的延迟和求和操作检测到。我们建议将自适应波束成形应用于接收到的数据样本,以减少干扰和杂波噪声。波束成形是通过在对每个元素延迟的数据样本求和之前对它们进行适当的加权来操纵阵列波束方向图。自适应权重是根据数据样本的统计分析计算得出的。可以将这种延迟权重和求和过程解释为对探针孔径上的信号应用横向空间滤波器。仿真表明,当采用自适应波束成形时,杂波噪声可降低30 dB以上,同时横向分辨率也会提高。在检查带有侧孔的钢块的实验中,证明了与模拟结果的良好定量一致性。

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