混凝土内部质量的截面检测试验研究

引用文献:

石志强 李源. 混凝土内部质量的截面检测试验研究[J]. 建筑结构,2022,48(16):94-100.

SHI Zhiqiang LI Yuan. Experimental study on cross-section detection of concrete internal quality[J]. Building Structure,2022,48(16):94-100.

作者:石志强 李源
单位:安阳工学院土木与建筑工程学院 安阳市结构检测与加固工程技术研究中心 安阳工学院计算机科学与信息工程学院
摘要:为研究混凝土内部质量的截面检测方法,采用ZBL-U510非金属超声检测仪,对3个预埋缺陷的混凝土试件进行环测法超声检测试验。运用截面测线图对混凝土截面内部缺陷进行深入分析。通过计算混凝土截面网格测线平均声速值,并绘制等值线图,可初步定性分析混凝土内部质量状况。基于截面解析成像原理,以截面网格测线平均声速作为解析初始值,采用ART迭代算法,绘制超声声速等值线图,对混凝土截面的内部质量进行成像。应用统计法对异常声速进行判定,并对图像进行归一化处理,从而识别混凝土内部质量缺陷。结果表明:通过截面测线图测线颜色分布,可以分析出混凝土截面质量分布情况;通过判定并剔除异常测线,能够对有明显缺陷的混凝土进行识别。基于截面解析成像方法,普通超声检测仪可以完成对混凝土内部质量检测的成像分析,绘制的声速等值线图能够以图像的方式定量展现混凝土截面内部质量分布情况,可以识别混凝土内部缺陷。
关键词:混凝土;内部缺陷;质量检测;截面解析成像;ART迭代算法
作者简介:石志强,硕士,副教授,主要从事土木工程结构及其检测方面的研究,Email:37905344@qq.com。
基金:河南省科技计划重点攻关资助项目(212102110216、152102310205、132102310334);河南省高等学校重点科研项目资助(17A560015)。
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Experimental study on cross-section detection of concrete internal quality
SHI Zhiqiang LI Yuan
(School of Civil and Architectural Engineering, Anyang Institute of Technology Anyang City Structure Testing and Reinforcement Engineering and Technology Research Center School of Computer Science and Information Engineering, Anyang Institute of Technology)
Abstract: In order to study the section detection method of concrete internal quality, the ring ultrasonic detection test was carried out on three concrete samples with embedded defects by using ZBL-U510 non-metal ultrasonic testing instrument. The internal defects of the section of concrete was qualitatively analyzed by using the sectional line diagram. The internal quality of the concrete can be preliminarily analyzed by calculating the average sound velocity of the section grid line and drawing a contour map. Based on the principle of section analytical imaging, the average sound velocity of the section grid line was taken as the parse initial value. Using the ART iterative algorithm, the contour map of the supersonic sound velocity was drawn to image the internal quality of the concrete section. The statistical method was used to judge the abnormal sound velocity, and the image was normalized to identify the internal quality defects of concrete. The results show that the quality distribution of the section of concrete can be analyzed by the color distribution of the lines in the sectional line diagram. The concrete with obvious defects can be identified by judging and eliminating the abnormal survey lines. Based on the section analytic imaging method, the ordinary ultrasonic detector can complete the imaging analysis of the internal quality inspection of the concrete. The contour map of the sound velocity can quantitatively display the internal quality distribution of the concrete section in the form of images, and can identify the internal defects of the concrete.
Keywords: concrete; internal defect; quality inspection; section analytic imaging; ART iterative algorithm
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