Smart Structures and Systems

테크노프레스 (Techno-Press)
권호 표지
DOI QR코드

DOI QR Code

Field application of elasto-magnetic stress sensors for monitoring of cable tension force in cable-stayed bridges

  • Yim, Jinsuk (Samsung C & T Company) ;
  • Wang, Ming L. (Department of Civil and Environmental Engineering, Northeastern University) ;
  • Shin, Sung Woo (Department of Safety Engineering, Pukyong National University) ;
  • Yun, Chung-Bang (School of Urban and Environmental Engineering, Ulsan National Institute of Science and Technology) ;
  • Jung, Hyung-Jo (Department of Civil and Environmental Engineering, Korea Advanced Institute of Science and Technology) ;
  • Kim, Jeong-Tae (Department of Ocean Engineering, Pukyong National University) ;
  • Eem, Seung-Hyun (Department of Civil and Environmental Engineering, Korea Advanced Institute of Science and Technology)
  • 투고 : 2012.10.15
  • 심사 : 2013.06.15
  • 발행 : 2013.09.25
⟨ 이전 논문 다음 논문 ⟩

초록

Recently, a novel stress sensor, which utilizes the elasto-magnetic (EM) effect of ferromagnetic materials, has been developed to measure stress in steel cables and wires. In this study, the effectiveness of this EM based stress sensors for monitoring of the cable tension force of a real scale cable-stayed bridge was investigated. Two EM stress sensors were installed on two selected multi-strand cables in Hwa-Myung Bridge, Busan, South Korea. Conventional lift-off test was conducted to obtain reference cable tension forces of two test cables. The reference forces were used to calibrate and validate cable tension force measurements from the EM sensors. Tension force variations of two test cables during the second tensioning work on Hwa-Myung Bridge were monitored using the EM sensors. Numerical simulations were conducted to compare and verify the monitoring results. Based on the results, the effectiveness of EM sensors for accurate field monitoring of the cable tension force of cable-stayed bridge is discussed.

키워드

과제정보

연구 과제 주관 기관 : KETEP of Korea, NSF of USA

참고문헌

  1. Bertotti, G. (1998), Hysteresis in magnetism: for physicists, materials scientists, and engineers, Academic Press Inc., USA.
  2. Cullity, B.D. and Graham, C.D. (2008), Introduction to magnetic materials: 2nd Ed., John Wiley & Sons Inc., NJ, USA.
  3. Chen, Z.L. (2000), Characterization and constitutive modeling of ferromagnetic materials for measurement of stress, Ph.D. Dissertation, Department of Civil and Materials Engineering, The University of Illinois at Chicago, USA.
  4. Kim, B.H. and Park, T. (2007), "Estimation of cable tension force using the frequency-based system identification method", J. Sound Vib., 304, 660-676. https://doi.org/10.1016/j.jsv.2007.03.012
  5. Lloyd, G., Singh, V. and Wang, M.L. (2002), "Experimental evaluation of differential thermal errors in magnetostatic stress sensors for Re<180", Proceedings of the IEEE Sensors 2002, Magnetic Sensing III, Paper No. 6.54.
  6. Russell, J.C. and Lardner, T.J. (1998), "Experimental determination of frequencies and tension for elastic cables", J. Eng. Mech. - ASCE, 124(10), 1067-1072. https://doi.org/10.1061/(ASCE)0733-9399(1998)124:10(1067)
  7. Sumitro, S., Kurokawa, S., Shimano, K. and Wang, M.L. (2005), "Monitoring based maintenance utilizing actual stress sensory technology", Smart Mater. Struct., 14, S68-S78. https://doi.org/10.1088/0964-1726/14/3/009
  8. Triantafyllou, M. and Grinfogel, L. (1986),"Natural frequencies and modes of inclined cables", J. Struct. Eng. - ASCE, 112(1), 139-148. https://doi.org/10.1061/(ASCE)0733-9445(1986)112:1(139)
  9. Wang, G. and Wang, M.L. (2004), "The utilities of U-shape EM sensors in stress monitoring", Struct. Eng. Mech., 17, 291-302. https://doi.org/10.12989/sem.2004.17.3_4.291
  10. Wang, G., Wang, M.L. and Zhao, Y. (2006), "Application of EM stress sensors in large steel cables", Smart Struct. Syst., 2(2), 145-154.
  11. Wang, M.L., Chen, Z.L., Koontz, S.S. and Lloyd, G. (2000), "Magneto-elastic permeability measurement for stress monitoring", Proceedings of the SPIE, 3995, 492-500.
  12. Wang, M.L., Lloyd, G. and Hovorka, O. (2001), "Development of a remote coil magneto-elastic stress sensor for steel cables", Proceedings of the SPIE, 4337, 122-128.
  13. Zui, H., Shinke, T. and Namita, Y. (1996), "Practical formulas for estimation of cable tension by vibration method", J. Struct. Eng. - ASCE, 122(6), 651-656. https://doi.org/10.1061/(ASCE)0733-9445(1996)122:6(651)

피인용 문헌

  1. Identification of time-varying cable tension forces based on adaptive sparse time-frequency analysis of cable vibrations vol.24, pp.3, 2017, https://doi.org/10.1002/stc.1889
  2. Influence of bias magnetic field for sleeve eddy current sensor (SECS) in tension measurement vol.263, 2017, https://doi.org/10.1016/j.sna.2017.07.002
  3. Estimation of main cable tension force of suspension bridges based on ambient vibration frequency measurements vol.56, pp.6, 2015, https://doi.org/10.12989/sem.2015.56.6.939
  4. Study on the Efficient Application of Vision-Based Displacement Measurements for the Cable Tension Estimation of Cable-Stayed Bridges vol.17, pp.9, 2016, https://doi.org/10.5762/KAIS.2016.17.9.709
  5. Investigation on Eddy Current Sensor in Tension Measurement at a Resonant Frequency vol.7, pp.6, 2017, https://doi.org/10.3390/app7060538
  6. Determination of cable force based on the corrected numerical solution of cable vibration frequency equations vol.50, pp.1, 2014, https://doi.org/10.12989/sem.2014.50.1.037
  7. Load Monitoring of the Pin-Connected Structure Using Time Reversal Technique and Piezoceramic Transducers—A Feasibility Study vol.16, pp.22, 2016, https://doi.org/10.1109/JSEN.2016.2600760
  8. Damage Detection in the Cable Structures of a Bridge Using the Virtual Distortion Method vol.22, pp.8, 2017, https://doi.org/10.1061/(ASCE)BE.1943-5592.0001072
  9. Recent R&D activities on structural health monitoring in Korea vol.3, pp.1, 2016, https://doi.org/10.12989/smm.2016.3.1.091
  10. Force monitoring of steel cables using vision-based sensing technology: methodology and experimental verification vol.18, pp.3, 2016, https://doi.org/10.12989/sss.2016.18.3.585
  11. Study on an innovative self-inductance tension eddy current sensor based on the inverse magnetostrictive effect vol.37, pp.1, 2017, https://doi.org/10.1108/SR-08-2016-0145
  12. Comparison of AC and pulsed magnetization-based elasto-magnetic methods for tensile force measurement in steel strand vol.117, 2018, https://doi.org/10.1016/j.measurement.2017.12.033
  13. Temperature-insensitive cable tension monitoring during the construction of a cable-stayed bridge with a custom-developed pulse elasto-magnetic instrument pp.1741-3168, 2018, https://doi.org/10.1177/1475921718814733
  14. Experimental Study on Mechanical and Sensing Properties of Smart Composite Prestressed Tendon vol.11, pp.11, 2018, https://doi.org/10.3390/ma11112087
  15. Development of elasto-magnetic (EM) sensor for monitoring cable tension using an innovative ratio measurement method vol.27, pp.11, 2018, https://doi.org/10.1088/1361-665X/aae0b0
  16. Temperature Compensation of Elasto-Magneto-Electric (EME) Sensors in Cable Force Monitoring Using BP Neural Network vol.18, pp.7, 2018, https://doi.org/10.3390/s18072176
  17. A Temperature Compensation Method for Magneto-Elastic Tension Sensor in Rod-Like Structure Tension Measurement vol.54, pp.4, 2018, https://doi.org/10.1109/TMAG.2017.2777785
  18. Improvement of MFL sensing-based damage detection and quantification for steel bar NDE vol.22, pp.2, 2013, https://doi.org/10.12989/sss.2018.22.2.239
  19. 최소화된 계측 및 신호 처리 시스템을 이용한 상시진동 케이블의 효율적인 장력 추정에 관한 연구 vol.19, pp.11, 2018, https://doi.org/10.5762/kais.2018.19.11.594
  20. Modal flexibility based damage detection for suspension bridge hangers: A numerical and experimental investigation vol.23, pp.1, 2013, https://doi.org/10.12989/sss.2019.23.1.015
  21. CNN-based damage identification method of tied-arch bridge using spatial-spectral information vol.23, pp.5, 2019, https://doi.org/10.12989/sss.2019.23.5.507
  22. Length Effect on the Stress Detection of Prestressed Steel Strands Based on Electromagnetic Oscillation Method vol.19, pp.12, 2013, https://doi.org/10.3390/s19122782
  23. Noncontact cable force estimation with unmanned aerial vehicle and computer vision vol.36, pp.1, 2013, https://doi.org/10.1111/mice.12567
  24. An Innovative Smart Concrete Anchorage with Self-Stress Sensing Capacity of Prestressing Stress of PS Tendon vol.21, pp.15, 2021, https://doi.org/10.3390/s21155251