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.

中文翻译：

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基于自漏磁通的电缆腐蚀程度概率评价方法

摘要 缆索结构内钢丝的腐蚀和断面损失严重威胁着桥梁的运营安全。在本研究中，结合贝叶斯模型提出了一种电缆腐蚀程度的概率评估方法。首先，基于自漏磁通（SMFL）的磁偶极子模型表达评价指标“X”，并对钢绞线和钢丝进行腐蚀检测实验。然后，分析测量的 SMFL 信号的分布。基于实验数据描绘和揭示了“X”与横截面损失率“α”之间的统计规律。最后，'X' 和 'α' 之间的正相关被量化为四个不同的水平，依次，得到了索结构腐蚀程度的评价标准。通过与不同腐蚀程度先验概率分布的对比分析，验证了评价标准的可靠性。