Study on corrosion damage characterization and tensile strength evaluation for locally corroded bridge steel via metal magnetic memory method

• Published in: Measurement : journal of the International Measurement Confederation 2023-02, Vol.207, p.112406, Article 112406
• Main Authors: Yang, Yiyi, Ma, Xiaoping, Su, Sanqing, Wang, Wei
• Format: Article
• Language: English
• Subjects: Corrosion damage characterization; Locally corroded bridge steel; Metal magnetic memory (MMM) method; self-magnetic flux leakage (SMFL) features; Tensile strength evaluation
• ISSN: 0263-2241; 1873-412X
• DOI: 10.1016/j.measurement.2022.112406

•Mutational features of SMFL signal can reflect the region and degree of corrosion.•One SMFL characteristic parameter can locate the corrosion defect accurately.•Two SMFL characteristic parameters can characterize the degree of corrosion damage.•The theoretical correlation between SMFL and corrosion degree was established.•Tensile strength of corroded steel was evaluated quantitatively via SMFL. Corrosion is a severe threat to the load-bearing capacity of steel members in bridges. Metal magnetic memory (MMM) is considered a potential method for detecting corrosion damage. In this paper, the SMFL signals HSFy on 27 Q345qD specimens with local corrosion were measured, and then the tensile tests for all specimens were performed. The results show that the crest-trough spacing on the gradient K curves can locate the position and range of corroded region accurately. The difference HSF,my between the maximum and minimum of HSFy signals and the crest-trough difference Kc-t of the gradient K curve can be utilized for the comprehensive characterization of the corrosion damage degree. Finally, the correlation between HSF,my and strength degradation degree η was established to realize the quantitative evaluation of tensile strength. This research serves as a base for corrosion damage characterization and tensile strength evaluation for bridge steel members via the MMM.