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基于漏磁(MFL)测量评估钢筋缺陷的大小。

Evaluation of the Size of a Defect in Reinforcing Steel Using Magnetic Flux Leakage (MFL) Measurements.

机构信息

Department of ICT Integrated Ocean Smart Cities Engineering, Dong-A University, Busan 49304, Republic of Korea.

National Core Research Center for Disaster-Free and Safe Ocean Cities Construction, Dong-A University, Busan 49304, Republic of Korea.

出版信息

Sensors (Basel). 2023 Jun 6;23(12):5374. doi: 10.3390/s23125374.

Abstract

This study aimed to evaluate 2D magnetic flux leakage (MFL) signals (B, B) in D19-size reinforcing steel with several defect conditions. The magnetic flux leakage data were collected from the defected and new specimens using an economically designed test setup incorporating permanent magnets. A two-dimensional finite element model was numerically simulated using COMSOL Multiphysics to validate the experimental tests. Based on the MFL signals (B, B), this study also intended to improve the ability to analyze defect features such as width, depth, and area. Both the numerical and experimental results indicated a high cross-correlation with a median coefficient of 0.920 and a mean coefficient of 0.860. Using signal information to evaluate defect width, the x-component (B) bandwidth was found to increase with increasing defect width and the y-component (B) amplitude rise with increasing depth. In this two-dimensional MFL signal study, both parameters of the two-dimensional defects (width and depth) affected each other and could not be evaluated individually. The defect area was estimated from the overall variation in the signal amplitude of the magnetic flux leakage signals with the x-component (B). The defect areas showed a higher regression coefficient (R = 0.9079) for the x-component (B) amplitude from the 3-axis sensor signal. It was determined that defect features are positively correlated with sensor signals.

摘要

本研究旨在评估具有几种缺陷情况的 D19 尺寸增强钢筋的二维磁通量泄漏(MFL)信号(B,B)。使用经济设计的测试装置从有缺陷和新的样本中采集磁通量泄漏数据,该测试装置结合了永磁体。使用 COMSOL Multiphysics 对二维有限元模型进行数值模拟,以验证实验测试。基于 MFL 信号(B,B),本研究还旨在提高分析缺陷特征(如宽度、深度和面积)的能力。数值和实验结果均显示出高度的相关性,中位数系数为 0.920,平均值系数为 0.860。使用信号信息评估缺陷宽度时,发现 x 分量(B)带宽随缺陷宽度的增加而增加,y 分量(B)幅度随深度的增加而增加。在这项二维 MFL 信号研究中,二维缺陷的两个参数(宽度和深度)相互影响,无法单独评估。通过磁通泄漏信号的信号幅度整体变化来估算缺陷面积。x 分量(B)幅度的 3 轴传感器信号的缺陷面积显示出更高的回归系数(R = 0.9079)。确定缺陷特征与传感器信号呈正相关。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ff9d/10303955/866b20708f27/sensors-23-05374-g001.jpg

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