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基于超声技术的钢管混凝土柱损伤检测

Damage Detection Using Ultrasonic Techniques in Concrete-Filled Steel Tubes (CFSTs) Columns.

机构信息

Department of Structural Mechanics, University of Granada, 18071 Granada, Spain.

Instituto de Investigación Biosanitaria, ibs.GRANADA, 18012 Granada, Spain.

出版信息

Sensors (Basel). 2022 Jun 10;22(12):4400. doi: 10.3390/s22124400.

Abstract

Concrete-filled steel tubes (CFSTs) are structural elements that, as a consequence of an incorrect elaboration, can exhibit internal defects that cannot be visualized, being usually air voids. In this work, the detection of internal damage in CFST samples elaborated with a percentage of contained air voids in concrete, was carried out by performing a complete ultrasound scan using an immersion tank. The analysis of the ultrasound signals shows the differences presented in the amplitude of the fundamental frequency of the signal, and in the Broadband Ultrasound Attenuation (BUA), in comparison with a sample without defects. The main contribution of this study is the application of the BUA technique in CFST samples for the location of air voids. The results present a linear relationship between BUA averages over the window of the CFSTs and the percentage of air voids contained (Pearson's correlation coefficient r = 0.9873), the higher percentage of air voids, the higher values of BUA. The BUA algorithm could be applied effectively to distinguish areas with defects inside the CFSTs. Similar to the BUA results, the analysis in the frequency domain using the FFT and the STFT was sensitive in the detection of internal damage (Pearson's correlation coefficient r = -0.9799, and r = -0.9672, respectively). The results establish an improvement in the evaluation of CFST elements for the detection of internal defects.

摘要

钢管混凝土(CFST)是一种结构元件,如果在制作过程中出现不当的处理,可能会出现内部缺陷,这些缺陷通常是空气空隙。在这项工作中,通过使用浸入式水箱对 CFST 样本进行全面的超声波扫描,检测了混凝土中含有一定百分比空气空隙的 CFST 样本中的内部损伤。对超声波信号的分析显示,与无缺陷样本相比,信号基频的幅度和宽带超声衰减(BUA)存在差异。这项研究的主要贡献是将 BUA 技术应用于 CFST 样本中,以定位空气空隙。结果表明,CFST 窗口内的 BUA 平均值与包含的空气空隙百分比之间存在线性关系(皮尔逊相关系数 r = 0.9873),空气空隙百分比越高,BUA 值越高。BUA 算法可有效应用于区分 CFST 内部有缺陷的区域。与 BUA 结果类似,使用 FFT 和 STFT 在频域中的分析在检测内部损伤方面也很敏感(皮尔逊相关系数 r = -0.9799 和 r = -0.9672)。结果表明,该方法可以改进对 CFST 元件的评估,以检测内部缺陷。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/072c/9227134/8af11e5a0b2f/sensors-22-04400-g001.jpg

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