Abstract
The corrosion and cross-sectional loss of steel wires inside cable structures seriously threaten the operational safety of bridges. In the present study, a probability evaluation method for the cable corrosion degree was proposed in association with the Bayesian model. Firstly, the evaluation index ‘X’ was expressed based on the magnetic dipole model of self-magnetic flux leakage (SMFL), and corrosion detection experiments were carried out on both steel strands and wires. Then, the distributions of the measured SMFL signals were analyzed. The statistical law between ‘X’ and the cross-sectional loss ratio ‘α’ was depicted and revealed based on the experimental data. Finally, the positive correlation between ‘X’ and ‘α’ was quantified by four different levels, in turn, the evaluation criteria for the corrosion degree of cable structures were obtained. Via the comparative analysis with the different prior probability distribution of corrosion degree, the reliability of the evaluation criteria was verified.
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