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Ultrasonic Imaging of Concrete by Synthetic Aperture Focusing Technique Based on Hilbert-Huang Transform of Time Domain Data

机译:基于时域数据希尔伯特-黄变换的合成孔径聚焦技术对混凝土进行超声成像

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摘要

For non-destructive evaluation (NDE) of concrete, efficient and accurate imaging techniques are needed for a reliable evaluation of safety and serviceability of structures. Imaging of concrete structures is considered a very challenging task since it is a non-homogeneous material. In this paper, the acoustic (stress wave) technique was applied by using Ultrasonics and Synthetic Aperture Focusing Technique (SAFT). In ultrasonic NDE, the presence of coarse aggregates requires that the ultrasonic testing be conducted at relatively low frequencies in order to avoid excessive attenuation. The Hilbert-Huang Transform (HHT), based on Ensemble Empirical Mode Decomposition (EEMD), was used as a signal processing tool for interpreting and analyzing the ultrasonic waveforms taken from a concrete specimen with an embedded steel rod. SAFT images for both processed and unprocessed signals were obtained and compared. Results showed that the reflections from the bottom surface as well as the steel rod were successfully imaged when the processed signal were used. Therefore, anomaly or defect detection in concrete structures through ultrasonic imaging was greatly improved by the combination of HHT and SAFT.
机译:对于混凝土的非破坏性评估(NDE),需要有效而准确的成像技术来可靠评估结构的安全性和可维修性。由于混凝土结构的成像是非均质材料,因此它被认为是一项非常具有挑战性的任务。在本文中,声波(应力波)技术是通过使用超声波和合成孔径聚焦技术(SAFT)来应用的。在超声NDE中,粗骨料的存在要求在相对较低的频率下进行超声测试,以避免过度衰减。基于整体经验模态分解(EEMD)的Hilbert-Huang变换(HHT)被用作信号处理工具,用于解释和分析从带有嵌入式钢棒的混凝土试样中提取的超声波波形。获得并比较了已处理和未处理信号的SAFT图像。结果表明,当使用处理后的信号时,可以成功地成像来自底部表面以及钢棒的反射。因此,HHT和SAFT的结合大大改善了通过超声成像对混凝土结构进行异常或缺陷检测的能力。

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