Abstract
The detection of cable corrosion is of great significance to the evaluation of cable safety performance. Based on the principle of spontaneous magnetic flux leakage (SMFL), a new method for predicting the corrosion width of cables is proposed. In this paper, in order to quantify the width of corrosion, the parameter about intersecting point distance between curves of magnetic flux component of x direction at different lift off heights (Dx) is proposed by establishing the theoretical model of the magnetic dipole of the rectangular corrosion defect. The MATLAB software was used to analyze the influencing factors of Dx. The results indicate that there exists an obvious linear relationship between the Dx and the y (lift off height), and the Dx–y curves converge to near the true corrosion width when y = 0. The 1/4 and 3/4 quantiles of the Dx–y image were used for linear fitting, which the intercept of the fitting equation was used to represent the predicted corrosion width. After the experimental study on the corrosion width detection for the parallel steel wire and steel strand, it is found that this method can effectively improve the detection accuracy, which plays an important role in cable safety assessment.
Highlights
As the main stressed components of cable-stayed bridges and suspension bridges, cables play an important role in the whole bridge system [1]
The steel wire strands were corroded locally, that is, the corrosion only starts from one side of the steel wire strand section, which the corrosion width was controlled to be 4 cm
The steel strand was denoted as S1 with the length of 1 m, and the overall uniform corrosion is adopted, that is, the steel strand was corroded from the outside to the inside along the entire section, which the corrosion width is controlled as 8 cm
Summary
As the main stressed components of cable-stayed bridges and suspension bridges, cables play an important role in the whole bridge system [1]. The common methods of non-destructive corrosion detection include X-ray detection [4], acoustic emission detection (AE) [5,6,7], magnetic particle detection [8], eddy current detection [9,10,11], magnetic flux leakage detection (MFL) [12,13,14], etc. All of these methods can be effective to some extent in the detection of rust, but they all have shortcomings. The corrosion of the Materials 2019, 12, 2154; doi:10.3390/ma12132154 www.mdpi.com/journal/materials
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