Abstract
This paper proposed a new computing method to quantitatively and non-destructively determine the corrosion of steel strands by analyzing the self-magnetic flux leakage (SMFL) signals from them. The magnetic dipole model and three growth models (Logistic model, Exponential model, and Linear model) were proposed to theoretically analyze the characteristic value of SMFL. Then, the experimental study on the corrosion detection by the magnetic sensor was carried out. The setup of the magnetic scanning device and signal collection method were also introduced. The results show that the Logistic Growth model is verified as the optimal model for calculating the magnetic field with good fitting effects. Combined with the experimental data analysis, the amplitudes of the calculated values (BxL(x,z) curves) agree with the measured values in general. This method provides significant application prospects for the evaluation of the corrosion and the residual bearing capacity of steel strand.
Highlights
The non-destructive test (NDT) [1] does not harm the measured components and structures, which is widely used in civil engineering, and other research fields
Based on the ferromagnetic properties, methods to detect the magnetic property of steel products have emerged [2], including magnetic flux leakage (MFL) [3], magnetic acoustic emission (MAE) [4], magnetic Barkhausen noise (MBN) [5] and metal magnetic memory (MMM) [6]
Compared with MFL, self-magnetic flux leakage (SMFL) is produced by the material itself near the defect without the tools to excite the magnetic field
Summary
The non-destructive test (NDT) [1] does not harm the measured components and structures, which is widely used in civil engineering, and other research fields. During the research on MMM, the self-magnetic flux leakage (SMFL) results from different types of defects. Compared with MFL, SMFL is produced by the material itself near the defect without the tools to excite the magnetic field. The theoretical models can be verified and are more convincing. The model had been applied to other fields, such as target location, parameter analysis and aerial survey [16]. The paper is organized as follows: in Section 2, the theoretical background of the corrosion detection is proposed, including the magnetic dipole model of SMFL and the Logistic Equation.
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