Smart Structures and Systems

  • 제28권6호
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  • Pages.727-735
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  • 2021
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  • 1738-1584(pISSN)
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  • 1738-1991(eISSN)
테크노프레스 (Techno-Press)
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DOI QR코드

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Time dependent numerical simulation of MFL coil sensor for metal damage detection

  • Azad, Ali (Department of Civil and Environmental Engineering, Sejong University) ;
  • Lee, Jong-Jae (Department of Civil and Environmental Engineering, Sejong University) ;
  • Kim, Namgyu (Department of Structural Engineering Research, Korea Institute of Civil Engineering and Building Technology)
  • 투고 : 2019.08.13
  • 심사 : 2021.09.24
  • 발행 : 2021.12.25
⟨ 이전 논문 다음 논문 ⟩

초록

Recently, non-destructive health monitoring methods such as magnetic flux leakage (MFL) method, have become popular due to their advantages over destructive methods. Currently, numerical study on this field has been limited to simplified studies by only obtaining MFL instead of induced voltage inside coil sensor. In this study, it was proposed to perform a novel numerical simulation of MFL's coil sensor by considering vital parameters including specimen's motion with constant velocity and saturation status of specimen in time domain. A steel-rod specimen with two stepwise cross-sectional changes (i.e., 21% and 16%) was fabricated using low carbon steel. In order to evaluate the results of numerical simulation, an experimental test was also conducted using a magnetic probe, with same size specimen and test parameters, exclusively. According to comparative results of numerical simulation and experimental test, similar signal amplitude and signal pattern were observed. Thus, proposed numerical simulation method can be used as a reliable source to check efficiency of sensor probe when different size specimens with different defects should be inspected.

키워드

과제정보

This research was supported by a grant (19CTAP-C151927-01) from the Transportation Technology Promotion Research Program funded by the Ministry of Land, Infrastructure and Transport of the Korean government.

참고문헌

  1. COMSOL (2017), COMSOL AC/DC Module user's guide, COMSOL, Inc., Los Angeles, CA, USA
  2. Ahmad, M., Arifin, A., Abdullah, S., Jusoh, W. and Singh, S. (2015), "Fatigue crack effect on magnetic flux leakage for A283 grade C steel", Steel Compos. Struct., Int. J., 19(6), 1549-1560. https://doi.org/10.12989/scs.2015.19.6.1549
  3. Banjara, N.K., Sasmal, S. and Srinivas, V. (2019), "Damage progression study in fibre reinforced concrete using acoustic emission technique", Smart Struct. Syst., Int. J., 23(2), 173-184. https://doi.org/10.12989/sss.2019.23.2.173
  4. Caesarendra, W., Kosasih, B., Tieu, A.K., Zhu, H., Moodie, C.A. and Zhu, Q. (2016), "Acoustic emission-based condition monitoring methods: Review and application for low speed slew bearing", Mech. Syst. Signal Process., 72, 134-159. https://doi.org/10.1016/j.ymssp.2015.10.020
  5. Dai, D. and He, Q. (2014), "Structure damage localization with ultrasonic guided waves based on a time-frequency method", Signal Process., 96, 21-28. https://doi.org/10.1016/j.sigpro.2013.05.025
  6. de Alcantara, N.P., da Silva, F.M., Guimaraes, M.T. and Pereira, M.D. (2015), "Corrosion assessment of steel bars used in reinforced concrete structures by means of eddy current testing", Sensors, 16(1), 15. https://doi.org/10.3390/s16010015
  7. Elliott, M.E. and Heymsfield, E. (2003), "Inspection of Luling bridge cable stays: Case study", J. Constr. Eng. Manage., 129(2), 226-230. https://doi.org/10.1061/(ASCE)0733-9364(2003)129:2(226)
  8. Feng, Q., Li, R., Nie, B., Liu, S., Zhao, L. and Zhang, H. (2017), "Literature review: theory and application of in-line inspection technologies for oil and gas pipeline girth weld defection", Sensors, 17(1), 50. https://doi.org/10.3390/s17010050
  9. Garg, M., Sharma, S., Sharma, S. and Mehta, R. (2016), "Noncontact damage monitoring technique for FRP laminates using guided waves", Smart Struct. Syst., Int. J., 17(5), 795-817. https://doi.org/10.12989/sss.2016.17.5.795
  10. Gomez, C.Q., Garcia, F.P., Arcos, A., Cheng, L., Kogia, M. and Papelias, M. (2017), "Calculus of the defect severity with EMATs by analysing the attenuation curves of the guided waves", Smart Struct. Syst., Int. J., 19(2), 195-202. https://doi.org/10.12989/sss.2017.19.2.195
  11. Iqbal, H., Tesfamariam, S., Haider, H. and Sadiq, R. (2017), "Inspection and maintenance of oil & gas pipelines: a review of policies", Struct. Infrastruct. Eng., 13(6), 794-815. https://doi.org/10.1080/15732479.2016.1187632
  12. Jain, A. and Sharma, S. (2016), "Monitoring degradation in concrete filled steel tubular section using guided waves", Smart Struct. Syst., Int. J., 19(4), 371-382. https://doi.org/10.12989/sss.2017.19.4.371
  13. Jamia, N., Friswell, M.I., El-Borgi, S. and Fernandes, R. (2018), "Simulating eddy current sensor outputs for blade tip timing", Adv. Mech. Eng., 10(1), 1-12. https://doi.org/10.1177/1687814017748020
  14. Kim, J.-W. and Park, S. (2018), "Magnetic flux leakage-based local damage detection and quantification for steel wire rope non-destructive evaluation", J. Intell. Mater. Syst. Struct., 29(17), 3396-3410. https://doi.org/10.1177/1045389X17721038
  15. Kim, J.-M., Lee, J. and Sohn, H. (2018a), "Detection of tension force reduction in a post-tensioning tendon using pulsed-eddy-current measurement", Struct. Eng. Mech., Int. J., 65(2), 129-139. https://doi.org/10.12989/sem.2018.65.2.129
  16. Kim, J., Park, M., Park, S. and Kim, J. (2018b), "Improvement of MFL sensing-based damage detection and quantification for steel bar NDE", Smart Struct. Syst., Int. J., 22(2), 239-247. https://doi.org/10.12989/sss.2018.22.2.239
  17. Kuang, K., Li, D. and Koh, C. (2016), "Acoustic emission source location and noise cancellation for crack detection in rail head", Smart Struct. Syst., Int. J., 18(5), 1063-1085. https://doi.org/10.12989/sss.2016.18.5.1063
  18. Li, Y., Wilson, J. and Tian, G.Y. (2007), "Experiment and simulation study of 3D magnetic field sensing for magnetic flux leakage defect characterisation", NDT & E Int., 40(2), 179-184. https://doi.org/10.1016/j.ndteint.2006.08.002
  19. Liu, X., Xiao, J., Wu, B. and He, C. (2018), "A novel sensor to measure the biased pulse magnetic response in steel stay cable for the detection of surface and internal flaws", Sensors Actuators A: Phys., 269, 218-226. https://doi.org/10.1016/j.sna.2017.11.005
  20. Mehrabi, A.B. and Farhangdoust, S. (2018), "A Laser-Based Noncontact Vibration Technique for Health Monitoring of Structural Cables: Background, Success, and New Developments", Adv. Acoust. Vib., 2018. https://doi.org/10.1155/2018/8640674
  21. Munoz, V., Vales, B., Perrin, M., Pastor, M.-L., Welemane, H., Cantarel, A. and Karama, M. (2016), "Damage detection in CFRP by coupling acoustic emission and infrared thermography", Compos. Part B: Eng., 85, 68-75. https://doi.org/10.1016/j.compositesb.2015.09.011
  22. Rifai, D., Abdalla, A.N., Razali, R., Ali, K. and Faraj, M.A. (2017), "An eddy current testing platform system for pipe defect inspection based on an optimized eddy current technique probe design", Sensors, 17(3), 579. https://doi.org/10.3390/s17030579
  23. Rocha, T.J., Ramos, H.G., Ribeiro, A.L. and Pasadas, D.J. (2015), "Magnetic sensors assessment in velocity induced eddy current testing", Sensors Actuat. A: Phys., 228, 55-61. https://doi.org/10.1016/j.sna.2015.02.004
  24. Shi, Y., Zhang, C., Li, R., Cai, M. and Jia, G. (2015), "Theory and application of magnetic flux leakage pipeline detection", Sensors, 15(12), 31036-31055. https://doi.org/10.3390/s151229845
  25. Strantza, M., Van Hemelrijck, D., Guillaume, P. and Aggelis, D.G. (2017), "Acoustic emission monitoring of crack propagation in additively manufactured and conventional titanium components", Mech. Res. Commun., 84, 8-13. https://doi.org/10.1016/j.mechrescom.2017.05.009
  26. Sun, Y., Liu, S., Deng, Z., Tang, R., Ma, W., Tian, X., Kang, Y. and He, L. (2018), "Magnetic flux leakage structural health monitoring of concrete rebar using an open electromagnetic excitation technique", Struct. Health Monitor., 17(2), 121-134. https://doi.org/10.1177/1475921716684340
  27. Wandowski, T., Malinowski, P. and Ostachowicz, W. (2016), "Circular sensing networks for guided waves based structural health monitoring", Mech. Syst. Signal Process., 66, 248-267. https://doi.org/10.1016/j.ymssp.2015.05.001
  28. Wu, B., Wang, Y., Liu, X. and He, C. (2015), "A novel TMR-based MFL sensor for steel wire rope inspection using the orthogonal test method", Smart Mater. Struct., 24(7), 075007. https://doi.org/10.1088/0964-1726/24/7/075007
  29. Wu, J., Fang, H., Huang, X., Xia, H., Kang, Y. and Tang, C. (2017a), "An Online MFL Sensing Method for Steel Pipe Based on the Magnetic Guiding Effect", Sensors, 17(12), 2911. https://doi.org/10.3390/s17122911
  30. Wu, J., Fang, H., Li, L., Wang, J., Huang, X., Kang, Y., Sun, Y. and Tang, C. (2017b), "A lift-off-tolerant magnetic flux leakage testing method for drill pipes at wellhead", Sensors, 17(1), 201. https://doi.org/10.3390/s17010201
  31. Xu, J., Wu, X., Cheng, C. and Ben, A. (2012), "A magnetic flux leakage and magnetostrictive guided wave hybrid transducer for detecting bridge cables", Sensors, 12(1), 518-533. https://doi.org/10.3390/s120100518