Mr. Shangda Jia Profile

Shangda Jia

at Guilin Univ of Technology

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Proceedings Article | 18 April 2023 Paper

Influence of aggregate and inclusion size on ultrasonic tomography in concrete

Lu Zhang, Shangda Jia, Chong Qiao, Zishi Jiang, Hongyu Li

Proceedings Volume 12487, 1248715 (2023) https://doi.org/10.1117/12.2657623

KEYWORDS: Ultrasonics, Tomography, Acoustic tomography, Transducers, Ultrasound transducers, Transmitters, Reflection, Wave propagation, Ultrasonography, Receivers

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Currently, ultrasonic testing (UT) is widely used in concrete for identifying the sub-surface or surface flaws. However, most the UT can only provide the qualitive evaluation of the flaws. Tomography technology is capable to visualize the damage and provide its positioning information in concrete by reconstructing the ultrasound. For example, the slurry leakage state in the grouting sleeve, and the location of the inclusion in the concrete pile foundation can be displayed by ultrasonic tomography. However, concrete material is highly heterogenous due to its complex components (aggregate, mortar, internal void). All those complexities can cause significant impact on the tomographic results. Especially for the aggregate, sometimes its dimension is very closed to the testing objects. It greatly affects the recognition and location of defects by ultrasonic testing. Therefore, this research proposed to reveal the influence of aggregate, defect size and the effect of type, tomographic pixels on tomographic images in concrete. An optimum transducer arrangement and tomography algorithms in terms of ray-trace method was proposed to achieve the high accurate and resolution of tomography. Finally, the comparison of tomographic images between the imaged location and the embedded location is evaluated and then tomographic states is assessed accordingly.

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