基于漏磁信号的持荷钢绞线锈蚀检测试验
Experiment on corrosion detection of load-bearing steel strand based on magnetic flux leakage signal
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摘要: 为检测持荷钢绞线的锈蚀情况,引入磁记忆技术,通过持荷钢绞线锈蚀检测试验,对钢绞线漏磁信号进行剖析,构建基于漏磁信号的持荷钢绞线锈蚀检测判别准则.研究结果表明:随着锈蚀程度的增加,持荷钢绞线漏磁信号随之增强,磁感应强度切向分量在锈蚀区域两端交汇于一点,且在锈蚀中间位置具有最大值,磁感应强度法向分量在锈蚀两端具有反向极大值和极小值,由此可定量判定钢绞线锈蚀位置及范围;进一步剖析持荷钢绞线锈蚀漏磁信号的磁感应强度切向和法向分量量纲一化的峰值与锈蚀程度、拉力之间关系,发现其关系曲线均呈Boltzmann函数分布,由此可定量判定钢绞线锈蚀程度与拉力大小.Abstract: To detect the corrosion of load-bearing steel strand, the magnetic memory technology was introduced. Through the corrosion detection test of load-bearing steel strand, the magnetic flux leakage signal of steel strand was analyzed, and the corrosion detection criterion of load-bearing steel strand was constructed based on magnetic flux leakage signal. The results show that with the increasing of corrosion degree, the magnetic flux leakage signal of loaded steel strand is increased, and the tangential component of magnetic induction intensity meets at one point at both ends of the corrosion area with the maximum value in the middle of corrosion. The normal component of magnetic induction intensity has the reverse maximum and minimum values at both ends of the corrosion, which illuminates that the corrosion position and range of steel strand can be determined qualitatively. The relationships among the dimensioned peak value of tangential/normal component of magnetic induction intensity of magnetic flux leakage signal of load-bearing steel strand corrosion, the corrosion degree and the tensile force can be further analyzed. The relationships are distributed in Boltzmann function, which means that the corrosion degree and tensile force of steel strand can be determined quantitatively.