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Statistical methods to assess the reliability of magnetic data recorded over steel corrosion sites

机译：评估记录在钢腐蚀位点的磁性数据可靠性的统计方法

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Steel reinforcement corrosion, the most significant cause for Reinforced Concrete (RC) structural failure, should be monitored to reduce human and financial risk. A novel passive-magnetic based Non-Destructive Testing (NDT) method has been developed to assist in quantifying steel reinforcement condition. In this study, the magnetic properties of six rebars with different mass loss percentages are experimentally recorded. Then, to ensure the method's viability, reliability and utility, the magnetic data sets are subjected to different methods of statistical analysis, including T-testing, F-testing, and the calculation of Pearson's correlation. As an example, statistical analysis results show that five scans are needed over the same path of every rebar to ensure a significance level of less than 5% and a power of greater than 90%. The recorded data sets are then interpreted using data-processing approaches based on three features: the power of the magnetic flux density's derivative; the dominant frequency analysis; and the standard deviation of the data. Among these three data-processing approaches, the method based on the standard deviation of the data is demonstrated to be the most reliable. As a result, good correspondence is observed between these magnetic data sets' features and the rebars' general corrosion state. For instance, a regression model with an R-squared value of 0.5 demonstrates that the average of standard deviations calculated for a magnetic data set decreases when corrosion increases. (C) 2020 Elsevier Ltd. All rights reserved.
机译：钢筋腐蚀，应监测钢筋混凝土（RC）结构失败的最显着原因，以减少人力和财务风险。已经开发了一种新型的无源磁性的非破坏性测试（NDT）方法以帮助量化钢筋状况。在这项研究中，经过实验记录具有不同质量损失百分比的六个钢筋的磁性。然后，为了确保方法的可行性，可靠性和实用程序，磁性数据集经受不同的统计分析方法，包括T-Testing，F-Testing以及Pearson相关性的计算。作为一个例子，统计分析结果表明，在每个钢筋的相同路径上需要五个扫描，以确保显着性水平小于5％，功率大于90％。然后使用基于三个特征的数据处理方法来解释记录的数据集：磁通密度衍生物的功率;主导频率分析;以及数据的标准偏差。在这三种数据处理方法中，基于数据的标准偏差的方法被证明是最可靠的。结果，在这些磁数据集的特征和钢筋的一般腐蚀状态之间观察到良好的对应。例如，具有0.5的R线值的回归模型表明，当腐蚀增加时，为磁数据集计算的标准偏差的平均值降低。 （c）2020 elestvier有限公司保留所有权利。

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