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A reverse time migration-based multistep angular spectrum approach for ultrasonic imaging of specimens with irregular surfaces

机译:基于反向时间的迁移基于迁移的多步,用于具有不规则表面的样本超声成像

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摘要

We develop a new ultrasonic imaging framework for non-destructive testing of an immersed specimen featuring an irregular top surface and demonstrate its capability of accurately depicting the lower surfaces of multiple damages hidden in the specimen. Central to the framework is a multistep angular spectrum approach (ASA), via which the forward propagation wavefields of wave sources and backward propagation wavefields of the received wave signals are calculated. Upon applying a zero-lag cross-correlation imaging condition of reverse time migration (RTM) to the obtained forward and backward wavefields, the image of the specimen with an irregular surface can be reconstructed, in which hidden damages, if any and regardless of quantity, are visualized. The effectiveness and accuracy of the framework are examined using numerical simulation, followed with experiment, in both of which multiple side-drilled holes, at different locations in aluminum blocks with various irregular surfaces, are characterized. Results have proven that multiple damages in a specimen with an irregular surface can be individually localized, and the lower surface of each damage can further be imaged accurately, thanks to the RTM-based algorithm in which multiple wave reflections from the specimen bottom are taken into wavefield extrapolation. The proposed imaging approach presents higher computational efficiency, compared to conventional RTM, and enhanced imaging contrast over prevailing total focusing methods.
机译:我们开发了一种新的超声波成像框架,用于非破坏性测试,用于具有不规则的顶表面的浸没样本,并证明其精确地描绘隐藏在样本中的多个损坏的下表面的能力。框架的核心是多步角频谱方法(ASA),计算波源的前向传播波形和接收波信号的向后传播波形。在将相反时间迁移(RTM)的零滞后互相关成像条件应用于所获得的向前和向后波场时,可以重建具有不规则表面的样本的图像,其中隐藏损坏,如果有任何且不是数量,被可视化。使用数值模拟检查框架的有效性和准确性,然后在具有各种不规则表面的铝块中的不同位置处的多个侧钻孔中的实验中进行了实验。结果证明,由于基于RTM的算法,可以单独定位,具有不规则表面的样品中的多个损伤可以单独定位,并且通过基于RTM的算法,可以进一步对每个损坏的较低表面进行准确地成像。波场推外。与常规RTM相比,该拟议的成像方法具有更高的计算效率,并增强了普遍聚焦方法上的增强的成像对比。

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