DataVXJournal of Nondestructive EvaluationPaper
journal article·2024-03

Monitoring of Large-Amplitude Cyclic Cable Tension via Resonance-Enhanced Magnetoelastic Effect

Senhua Zhang, Jianting Zhou, Junfeng Xia, Hong Zhang, Kai Tong, Xiaotian Wu, Leng Liao

Journal of Nondestructive Evaluation· Volume 43· Issue 1
Publisher page
Bibliographic record

Abstract

No abstract is available for this record. The assistant can identify its topic from the title, but cannot infer the study’s results.

Source: Not provided · Quality: missing

Research context

OpenAlex topics: Magnetic Properties and Applications · Non-Destructive Testing Techniques · Structural Health Monitoring Techniques

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

References (34)

Show source-provided references
1. Zhang, H., Li, H., Zhou, J., Tong, K., Xia, R.: A multi-dimensional evaluation of wire breakage in bridge cable based on self-magnetic flux leakage signals. J. Magn. Magn. MATER. 566, 170321 (2023). https://doi.org/10.1016/j.jmmm.2022.17032110.1016/j.jmmm.2022.170321 ↗
2. Li, H., Ou, J.: The state of the art in structural health monitoring of cable-stayed bridges. J. Civil Struct. Health Monit. 6(1), 43–67 (2016). https://doi.org/10.1007/s13349-015-0115-x10.1007/s13349-015-0115-x ↗
3. Li, J., Yi, T., Qu, C., Li, H., Liu, H.: Early warning for abnormal cable forces of cable-stayed bridges considering structural temperature changes. J. Bridge Eng. 28(2), 5797 (2023). https://doi.org/10.1061/JBENF2.BEENG-579710.1061/JBENF2.BEENG-5797 ↗
4. Zhang, L., Qiu, G., Chen, Z.: Structural health monitoring methods of cables in cable-stayed bridge: a review. Measurement 168, 108343 (2021). https://doi.org/10.1016/j.measurement.2020.10834310.1016/j.measurement.2020.108343 ↗
5. Zhang, X., Lu, Y., Cao, M., Li, S., Sumarac, D., Wang, Z.: Instantaneous identification of tension in bridge cables using synchrosqueezing wave-packet transform of acceleration responses. Struct. Infrastruct. E. 2022, 1–16 (2022). https://doi.org/10.1080/15732479.2022.208249210.1080/15732479.2022.2082492 ↗
6. Weng, J., Chen, L., Sun, L., Zou, Y., Liu, Z., Guo, H.: Fully automated and non-contact force identification of bridge cables using microwave remote sensing. Measurement 209, 112508 (2023). https://doi.org/10.1016/j.measurement.2023.11250810.1016/j.measurement.2023.112508 ↗
7. Kim, S.W., Cheung, J.H., Park, J.B., Na, S.O.: Image-based back analysis for tension estimation of suspension bridge hanger cables. Struct. Control. Health Monit. 27(4), 2508 (2020). https://doi.org/10.1002/stc.250810.1002/stc.2508 ↗
8. Wang, J., Wang, X., Fan, C., Li, Y., Huang, X.: Bridge dynamic cable-tension estimation with interferometric radar and APES-based time-frequency analysis. Electron. Switz. 10(4), 501 (2021). https://doi.org/10.3390/electronics1004050110.3390/electronics10040501 ↗
9. Huang, Y., Fu, J., Wang, R., Gan, Q., Liu, A.: Unified practical formulas for vibration-based method of cable tension estimation. Adv. Struct. Eng. 18(3), 405–422 (2015). https://doi.org/10.1260/1369-4332.18.3.40510.1260/1369-4332.18.3.405 ↗
10. Wen-ming, Z., Zhi-wei, W., Feng, D., Liu, Z.: Frequency-based tension assessment of an inclined cable with complex boundary conditions using the PSO algorithm. Cornell University Library, Ithaca (2021)
11. Chaki, S., Bourse, G.: Guided ultrasonic waves for non-destructive monitoring of the stress levels in prestressed steel strands. Ultrasonics 49(2), 162–171 (2009). https://doi.org/10.1016/j.ultras.2008.07.00910.1016/j.ultras.2008.07.009 ↗
12. Qian, J., Chen, X., Sun, L., Yao, G., Wang, X., Emanuele, R., et al.: Numerical and experimental identification of seven-wire strand tensions using scale energy entropy spectra of ultrasonic guided waves. Shock. Vib. 2018, 1–11 (2018). https://doi.org/10.1155/2018/690507310.1155/2018/6905073 ↗
13. Dubuc, B., Ebrahimkhanlou, A., Salamone, S.: Stress monitoring of prestressing strands in corrosive environments using modulated higher-order guided ultrasonic waves. Struct. Health Monit. 19(1), 202–214 (2020). https://doi.org/10.1177/147592171984238510.1177/1475921719842385 ↗
14. Liu, Z., Li, S., Liu, L.: Investigation of wave propagation path and damage source 3D localization in parallel steel wire bundle. Struct. Control. Health Monit. 29(10), 3051 (2022). https://doi.org/10.1002/stc.305110.1002/stc.3051 ↗
15. Shi, P.: Magneto-elastoplastic coupling model of ferromagnetic material with plastic deformation under applied stress and magnetic fields. J. Magn. Magn. Mater. 512, 166980 (2020). https://doi.org/10.1016/j.jmmm.2020.16698010.1016/j.jmmm.2020.166980 ↗
16. Liu, Z., Liu, S., Xie, C., Bai, G.: Non-invasive force measurement based on magneto-elastic effect for steel wire ropes. IEEE Sens. J. 21(7), 8979–8987 (2021). https://doi.org/10.1109/JSEN.2021.305441610.1109/JSEN.2021.3054416 ↗
17. Tang, D., Huang, S., Chen, W., Jiang, J.: Study of a steel strand tension sensor with difference single bypass excitation structure based on the magneto-elastic effect. Smart Mater. Struct. 17(2), 25019 (2008). https://doi.org/10.1088/0964-1726/17/2/02501910.1088/0964-1726/17/2/025019 ↗
18. Zhang, R., Duan, Y., Zhao, Y., He, X.: Temperature compensation of elasto-magneto-electric (EME) sensors in cable force monitoring using BP neural network. Sens. Basel. 18(7), 2176 (2018). https://doi.org/10.3390/s1807217610.3390/s18072176 ↗
19. Liu, L., Zhang, S., Zhou, J., Zhang, H., Liu, H., Tan, K., et al.: Prestress monitoring of internal steel strands using the magnetoelastic inductance method. Prog. Electromagn. Res. M. 103, 1–13 (2021). https://doi.org/10.2528/PIERM2104090210.2528/PIERM21040902 ↗
20. Zhang, S., Zhang, H., Liu, H., Zhou, J., Yin, C., Liao, L.: Resonance enhanced magnetoelastic method with high sensitivity for steel stress measurement. Measurement 186, 110139 (2021). https://doi.org/10.1016/j.measurement.2021.11013910.1016/j.measurement.2021.110139 ↗
21. Kim, J., Lee, J., Sohn, H.: Automatic measurement and warning of tension force reduction in a PT tendon using eddy current sensing. Ndt E Int. 87, 93–99 (2017). https://doi.org/10.1016/j.ndteint.2017.02.00210.1016/j.ndteint.2017.02.002 ↗
22. Zhang, S., Zhou, J., Zhang, H., Liao, L., Liu, L.: Influence of cable tension history on the monitoring of cable tension using magnetoelastic inductance method. Struct. Health Monit. 20(6), 3392–3405 (2021). https://doi.org/10.1177/147592172098798710.1177/1475921720987987 ↗
23. Wang, X.Y., Chen, M.S., Sun, H.X., Yang, Q.: Relationship of cable tension and temperature based on long-term monitoring data on the cable-stayed bridge. Appl. Mech. Mater. 405–408, 1716–1721 (2013). https://doi.org/10.4028/www.scientific.net/AMM.405-408.171610.4028/www.scientific.net/AMM.405-408.1716 ↗
24. Huang, Y., Wang, Y., Fu, J., Liu, A., Gao, W.: Measurement of the real-time deflection of cable-stayed bridge based on cable tension variations. Measurement 119, 218–228 (2018). https://doi.org/10.1016/j.measurement.2018.01.07010.1016/j.measurement.2018.01.070 ↗
25. Maljaars, J., Vrouwenvelder, T.: Fatigue failure analysis of stay cables with initial defects: Ewijk bridge case study. Struct. Saf. 51, 47–56 (2014). https://doi.org/10.1016/j.strusafe.2014.05.00710.1016/j.strusafe.2014.05.007 ↗
26. Yang, M., Li, Z., Zhang, M., Wan, J.: Mutual inductance calculation of circular coils sandwiched between 3-layer magnetic mediums for wireless power transfer systems. Electron. Switz. 10(23), 3043 (2021). https://doi.org/10.3390/electronics1023304310.3390/electronics10233043 ↗
27. Jiles, D.C., Atherton, D.L.: Theory of ferromagnetic hysteresis (invited). J. Appl. Phys. 55(6), 2115–2120 (1984). https://doi.org/10.1063/1.33358210.1063/1.333582 ↗
28. Avakian, A., Ricoeur, A.: Constitutive modeling of nonlinear reversible and irreversible ferromagnetic behaviors and application to multiferroic composites. J. Intel. Mat. Syst. Str. 27(18), 2536–2554 (2016). https://doi.org/10.1177/1045389X1663421210.1177/1045389X16634212 ↗
29. Zhang, S., Zhou, J., Zhou, Y., Zhang, H., Chen, J.: Cable tension monitoring based on the elasto-magnetic effect and the self-induction phenomenon. Materials. 12(14), 2230 (2019). https://doi.org/10.3390/ma1214223010.3390/ma12142230 ↗
30. Baghel, A.P.S., Kulkarni, S.V.: Dynamic loss inclusion in the Jiles-Atherton (JA) hysteresis model using the original JA approach and the field separation approach. IEEE T Magn. 50(2), 369–372 (2014). https://doi.org/10.1109/TMAG.2013.228438110.1109/TMAG.2013.2284381 ↗
31. Cao, Y., Yim, J., Zhao, Y., Wang, M.L.: Temperature effects on cable stayed bridge using health monitoring system: a case study. Struct. Health Monit. 5(10), 523–537 (2011). https://doi.org/10.1177/147592171038897010.1177/1475921710388970 ↗
32. Sablik, M.J., Jiles, D.C.: Modeling effects of varying torsion in magnetized steel. IEEE T Magn. 36(5), 3248–3250 (2000). https://doi.org/10.1109/20.90875610.1109/20.908756 ↗
33. Liu, X., Chen, Y., Hu, H., Feng, S., Feng, Z.: Measurement method of natural frequencies and tension forces for cables based on elasto-magnetic sensors calibrated by frequencies. AIP Adv. 12(1), 15301 (2022). https://doi.org/10.1063/5.007381810.1063/5.0073818 ↗
34. Lo, C.C.H., Kinser, E., Jiles, D.C.: Modeling the interrelating effects of plastic deformation and stress on magnetic properties of materials. J. Appl. Phys. 93(10), 6626–6628 (2003). https://doi.org/10.1063/1.155735610.1063/1.1557356 ↗