Skip to main content
Log in

Research on Corrosion Circumferential Area Characterization for Steel Cable Bundle Based on Metal Magnetic Memory

  • Published:
Journal of Materials Engineering and Performance Aims and scope Submit manuscript

Abstract

Due to the large size of the steel cable structure and the complex distribution of the spatial magnetic field, it was challenging to characterize the internal corrosion area. Moreover, the rapid characterization of the corrosion position and its distribution area was the prerequisite to improving the corrosion degree diagnosis accuracy. By using the electrochemical method and COMSOL Multiphysics software, the experimental test and the finite element simulation of corroded steel cable bundles based on the metal magnetic memory were carried out. The dimensionless analysis parameter of magnetic characterization λ was constructed. The correlation between the φλ distribution curve and the circumferential central position φc was clarified. The linear growth trend between the variation amplitude Δλ of the φλ curve and the corrosion ratio α was revealed, and the growth slope K1 was obtained. By linear fitting function, the characterization curves of K1 and the circumferential angle of corrosion area Δφ were obtained. The goodness of fit R2 reached 0.98. Finally, the characterization method of the corrosion circumferential distribution area (φ1, φ2) was proposed.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8
Fig. 9
Fig. 10
Fig. 11
Fig. 12
Fig. 13
Fig. 14
Fig. 15
Fig. 16

Similar content being viewed by others

References

  1. Y. An, B.F. Spencer and J.P. Ou, A Test Method for Damage Diagnosis of Suspension Bridge Suspender Cables, Comput.-Aided Civ. Inf., 2015, 30(10), p 771–784.

    Article  Google Scholar 

  2. Q. Ye, Z. Feng and D. Yuan, Nonlinear Vibration Signal Tracking of Large Offshore Bridge Stayed Cable Based on Particle Filter, Pol. Marit. Res., 2015, 22(4), p 70–75.

    Article  Google Scholar 

  3. P.A. Vanniamparambil, F. Khan, K. Hazeli et al., Novel Optico-Acoustic Nondestructive Testing for Wire Break Detection in Cables, Struct. Control Hlth., 2013, 20(11), p 1339–1350.

    Google Scholar 

  4. R.C. Xia, H. Zhang, J.T. Zhou et al., A Study on the Performance Evaluation of the Corroded Steel Cable by Safety Factor Based on the Strength Condition, J Mater. Eng. Perform., 2020, 29(1), p 2227–2234.

    Article  CAS  Google Scholar 

  5. M. Sloane, R. Betti, G. Marconi et al., Experimental Analysis of a Nondestructive Corrosion Monitoring System for Main Cables of Suspension Bridges, J. Bridge Eng., 2013, 18(7), p 653–662.

    Article  Google Scholar 

  6. M. Horst and M.L. Kaminski, Magnetic Properties of Structural Steels for Simulation of Crack Monitoring by Finite Element Method, J. Nondestruct. Eval., 2020, 39(1), p 2.

    Article  Google Scholar 

  7. B. Liu, P. Fu, R. Li et al., Influence of Crack Size on Stress Evaluation of Ferromagnetic Low Alloy Steel with Metal Magnetic Memory Technology, Materials, 2019, 12(24), p 4028.

    Article  CAS  Google Scholar 

  8. B. Hu and R. Yu, Influence of Sensitivity Direction and Lift-Off on Weld Macro Defects by Magnetic Memory Testing, Insight, 2018, 60(3), p 161–165.

    Article  CAS  Google Scholar 

  9. P. Shi, K. Jin and X. Zheng, A Magnetomechanical Model for The Magnetic Memory Method, Int. J. Mech. Sci., 2017, 124, p 229–241.

    Article  Google Scholar 

  10. H. Wang, L. Dong, H. Wang et al., Effect of Tensile Stress on Metal Magnetic Memory Signals During On-Line Measurement in Ferromagnetic Steel, NDT & E Int., 2021, 117, p 102378.

    Article  CAS  Google Scholar 

  11. B. Liu, Z. Zeng and H. Wang, Study on the Early Fatigue Damage Evaluation of High Strength Steel By Using Three Components of Metal Magnetic Memory Signal, NDT & E Int., 2021, 117, p 102380.

    Article  CAS  Google Scholar 

  12. J.R. Petrie, K.A. Wieland, R.A. Burke et al., A Non-erasable Magnetic Memory Based on the Magnetic Permeability, J. Magn. Magn. Mater., 2014, 361, p 262–266.

    Article  CAS  Google Scholar 

  13. S. Su, X. Zhao, W. Wang et al., Metal Magnetic Memory Inspection of Q345 Steel Specimens with Butt Weld in Tensile and Bending Test, J. Nondestruct. Eval., 2019, 38(3), p 64.

    Article  Google Scholar 

  14. G.M. Lin, H.Y. Lin and K. Dong, Analysis of Metal Magnetic Memory Testing Technology, Adv. Mater. Res., 2012, 503–504, p 1623–1626.

    Article  Google Scholar 

  15. D.B. Wu, M.Q. Xu and J.W. Li, Study on Physical Mechanism of Metal Magnetic Memory Technique, Appl. Mech. Mater., 2010, 34–35, p 841–844.

    Article  Google Scholar 

  16. M.X. Xu, Z.H. Chen and M.Q. Xu, Micro-mechanism of Metal Magnetic Memory Signal Variation During Fatigue, Int. J. Miner. Metall. Mater., 2014, 3, p 259–265.

    Article  Google Scholar 

  17. Z.D. Wang, K. Yao, B. Deng et al., Theoretical Studies of Metal Magnetic Memory Technique on Magnetic Flux Leakage Signals, NDT & E Int., 2010, 43(4), p 354–359.

    Article  CAS  Google Scholar 

  18. K. Yao, B. Deng and Z.D. Wang, Numerical Studies to Signal Characteristics with the Metal Magnetic Memory-Effect in Plastically Deformed Samples, NDT & E Int., 2012, 47, p 7–17.

    Article  CAS  Google Scholar 

  19. C. Li, L. Dong, H. Wang et al., Metal Magnetic Memory Technique Used to Predict the Fatigue Crack Propagation Behavior of 0.45%C Steel, J. Magn. Magn. Mater., 2016, 405, p 150–157.

    Article  Google Scholar 

  20. Y.H. Qu, H. Zhang, R.Q. Zhao et al., Research on the Method of Predicting Corrosion Width of Cables Based on the Spontaneous Magnetic Flux Leakage, Materials, 2019, 12(13), p 2154.

    Article  CAS  Google Scholar 

  21. L. Sun, X. Liu and H. Niu, A Method for Identifying Geometrical Defects and Stress Concentration Zones in MMM Technique, NDT & E Int., 2019, 107, p 102133.

    Article  Google Scholar 

  22. P.P. Shi, J. Ke, Q.C. Zhang et al., Quantitative Inversion of Stress and Crack in Ferromagnetic Materials Based on Metal Magnetic Memory Method, IEEE Trans. Magn., 2018, 54, p 1–11.

    CAS  Google Scholar 

  23. H. Chen, C. Wang and X. Zuo, Research on Methods of Defect Classification Based on Metal Magnetic Memory, NDT & E Int., 2017, 92, p 82–87.

    Article  Google Scholar 

  24. Y.Q. Wang, J.P. Xu, Y. Shi et al., Research on the Application of Wavelet Entropy Theory in Detecting Metal Magnetic Memory, Appl. Mech. Mater., 2013, 401–403, p 1212–1217.

    Article  Google Scholar 

  25. Y.H. Qu, J.T. Zhou, R. Liu et al., Research on the Detection of the Broken Wire Damage of a Cable in the Circumferential Directions Based on Self-Magnetic Flux Leakage, KSCE J. Civ. Eng., 2021, 25(3), p 879–890.

    Article  Google Scholar 

Download references

Acknowledgments

This study was supported by the National Natural Science Foundation of China (U20A20314, 51808081), the Project funded by China Postdoctoral Science Foundation (2021MD703915), the Natural Science Fund for Distinguished Young Scholars of Chongqing (cstc2020jcyj-jqX0006), the Chongqing Natural Science Foundation of China (cstc2019jcyj-cxttX0004, cstc2019jscx-gksbX0047), Science Foundation Project funded by Chongqing Jiaotong University (F1210004), and the Open Fund of State Key Laboratory of the Mountain Bridge and Tunnel Engineering (SKLBT-19-014).

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Runchuan Xia.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Zhang, H., Xia, R., Zhou, J. et al. Research on Corrosion Circumferential Area Characterization for Steel Cable Bundle Based on Metal Magnetic Memory. J. of Materi Eng and Perform 31, 2732–2742 (2022). https://doi.org/10.1007/s11665-021-06375-y

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11665-021-06375-y

Keywords

Navigation