DOI QR코드

DOI QR Code

Temperature effect on wireless impedance monitoring in tendon anchorage of prestressed concrete girder

  • Park, Jae-Hyung (Department of Ocean Engineering, Pukyong National University) ;
  • Huynh, Thanh-Canh (Department of Ocean Engineering, Pukyong National University) ;
  • Kim, Jeong-Tae (Department of Ocean Engineering, Pukyong National University)
  • Received : 2014.11.04
  • Accepted : 2015.01.20
  • Published : 2015.04.25

Abstract

In this study, the effect of temperature variation on the wireless impedance monitoring is analyzed for the tendon-anchorage connection of the prestressed concrete girder. Firstly, three impedance features, which are peak frequency, root mean square deviation (RMSD) index, and correlation coefficient (CC) index, are selected to estimate the effects of temperature variation and prestress-loss on impedance signatures. Secondly, wireless impedance tests are performed on the tendon-anchorage connection for which a series of temperature variation and prestress-loss events are simulated. Thirdly, the effect of temperature variation on impedance signatures measured from the tendon-anchorage connection is estimated by the three impedance features. Finally, the effect of prestress-loss on impedance signatures is also estimated by the three impedance features. The relative effects of temperature variation and prestress-loss are comparatively examined.

Keywords

Acknowledgement

Supported by : National Research Foundation of Korea (NRF)

References

  1. Balmes, E., Basseville, M., Mevel, L. and Nasser, H. (2009), "Handling the temperature effect in vibration monitoring of civil structures: A combined subspace-based and nuisance rejection approach", Control Eng.Pract., 17(1), 80-87. https://doi.org/10.1016/j.conengprac.2008.05.010
  2. Devore, J.L. (1987), Probability and Statistics for Engineering and the Sciences, 2nd Ed., Brooks/Cole Publishing Company, Monterey, California.
  3. Fasel, T.R., Sohn, H., Park, G. and Farrar, C.R. (2005), "Active sensing using impedance-based ARX models and extreme value statistics for damage detection", Earthq. Eng. Struct. D., 34(7), 763-785. https://doi.org/10.1002/eqe.454
  4. Ho, D.D., Kim, J.T., Stubbs, N. and Park, W.S. (2012), "Prestress-force estimation in PSC girder using modal parameters and system identification", Adv. Struct. Eng., 15(6), 997-1012. https://doi.org/10.1260/1369-4332.15.6.997
  5. Hong, D.S. (2011), Vibration-Impedance-Based Hybrid Structural Health Monitoring and Temperature Effect Assessment in Girder's Structures, PhD Thesis, Department of Ocean Engineering, Pukyong National University, Korea.
  6. Huynh, T.C. and Kim, J.T. (2014), "Impedance-based cable force monitoring in tendon-anchorage using portable PZT-interface technique", Math.Probl. Eng., 2014, Article ID 784731, 11 pages.
  7. Kim, J.T., Huynh, T.C. and Lee, S.Y. (2014), "Wireless structural health monitoring of stay cables under two consecutive typhoons", Struct. Monitor.Maint., 1(1), 47-67. https://doi.org/10.12989/smm.2014.1.1.047
  8. Kim, J.T., Park, J.H., Hong, D.S., Cho, H.M., Na, W.B. and Yi, J.H. (2006), "Vibration and impedance monitoring for prestress-loss in PSC girder bridges", Smart Struct. Syst., 5(1), 81-94. https://doi.org/10.12989/sss.2009.5.1.081
  9. Kim, J.T., Yun, C.B. and Yi, J.H. (2003), "Temperature effects on frequency-based damage detection in plate-girder bridges", J. KSCE, 7(6), 725-733. https://doi.org/10.1007/BF02829141
  10. Kim, J.T., Na, W.B., Park, J.H. and Hong, D.S. (2006), "Hybrid health monitoring of structural joints using modal parameters and EMI signatures", Proceeding of SPIE, San Diego, USA.
  11. Kim, J.T, Park, J.H. and Lee, B.L. (2007), "Vibration-based damage monitoring in model plate-girder bridges under uncertain temperature conditions", Eng. Struct., 29(7), 1354-1365. https://doi.org/10.1016/j.engstruct.2006.07.024
  12. Kim, J.T., Park, J.H., Hong, D.S. and Park, W.S. (2010), "Hybrid health monitoring of prestressed concrete girder bridges by sequential vibration-impedance approaches", Eng. Struct., 32, 115-128. https://doi.org/10.1016/j.engstruct.2009.08.021
  13. Kim, J.T., Park, J.H., Hong, D.S. and Ho, D.D. (2011), "Hybrid acceleration-impedance sensor nodes on Imote2-platform for damage monitoring in steel girder connections", Smart Struct. Syst., 7(5), 393-416. https://doi.org/10.12989/sss.2011.7.5.393
  14. Ko, J.M. and Ni, Y.Q. (2005), "Technology developments in structural health monitoring of large-scale bridges", Eng. Struct., 27, 1715-1725. https://doi.org/10.1016/j.engstruct.2005.02.021
  15. Koo, K.Y., Park, S., Lee, J.J. and Yun, C.B. (2009), "Automated impedance-based structural health monitoring incorporating effective frequency shift for compensating temperature effects", J. Intel. Mat. Syst. Str., 20(4), 367-377. https://doi.org/10.1177/1045389X08088664
  16. Li, H.N, Yi, T.H., Ren L., Li, D.S., and Huo, L.S. (2014), "Review on innovations and applications in structural health monitoring for infrastructures", Struct. Monitor. Maint., 1(1), 1-45. https://doi.org/10.12989/smm.2014.1.1.001
  17. Liang, C., Sun, F.P. and Rogers, C.A. (1994), "Coupled electro-mechanical analysis of adaptive material - Determination of the actuator power consumption and system energy transfer", J. Intel. Mat. Syst. Str., 5, 12-20. https://doi.org/10.1177/1045389X9400500102
  18. Liang, C., Sun, F.P. and Rogers, C.A. (1996), "Electro-mechanical impedance modeling of active material systems", Smart Mat.Struct., 5(2), 171-186. https://doi.org/10.1088/0964-1726/5/2/006
  19. Lynch, J.P., Wang, W., Loh, K.J., Yi, J.H. and Yun, C.B. (2006), "Performance monitoring of the Geumdang Bridge using a dense network of high-resolution wireless sensors", Smart Mat.Struct., 15(6), 1561-1575. https://doi.org/10.1088/0964-1726/15/6/008
  20. Mascarenas, D.L. (2006), Development of an impedance-based wireless sensor node for monitoring of bolted joint preload, MS Thesis, Department of Structural Engineering, University of California in San Diego, USA.
  21. Nguyen, K.D. and Kim, J.T. (2012), "Smart PZT-interface for wireless impedance-based prestress-loss monitoring in tendon-anchorage connection", Smart Struct. Syst., 9(6), 489-504. https://doi.org/10.12989/sss.2012.9.6.489
  22. Nguyen, K.D., Lee, P.Y. and Kim, J.T. (2012), "Automated monitoring of cable-anchorage force by Imote2-platformed impedance sensor node", Adv. Sci. Lett., 14(1), 136-140. https://doi.org/10.1166/asl.2012.4057
  23. Park, G., Cudney, H.H. and Inman, D.J. (2001), "Feasibility of using impedance-based damage assessment for pipeline structures", Earthq. Eng. Struct. D., 30(10), 1463-1474. https://doi.org/10.1002/eqe.72
  24. Providakis, C., Stefanaki, K., Voutetaki, M., Tsompanakis, J. and Stavroulaki, M. (2014), "A near and far-field monitoring technique for damage detection in concrete structures", Struct. Monitor.Maint., 1(2), 339-356. https://doi.org/10.12989/smm.2014.1.3.339
  25. Rice, J.A., Mechitov, K., Sim, S.H., Nagayama, T., Jang, S., Kim, R., Spencer, Jr, B.F., Agha, G. and Fujino, Y. (2010), "Flexible smart sensor framework for autonomous structural health monitoring", Smart Struct. Syst., 6(5-6), 423-438. https://doi.org/10.12989/sss.2010.6.5_6.423
  26. Sohn, H. (2007), "Effects of environmental and operational variability on structural health monitoring", Philos. T. R. Soc. A, 365, 539-560. https://doi.org/10.1098/rsta.2006.1935
  27. Sun, F.P., Chaudhry Z., Liang, C. and Rogers C.A. (1995), "Truss structure integrity identification using PZT sensor-actuator", J. Intel. Mat. Syst. Str., 6, 134-139. https://doi.org/10.1177/1045389X9500600117
  28. Xia, Y., Hao, H., Zanardo, G. and Deeks, A. (2006), "Long term vibration monitoring of an RC slab: termperature and humidity effect", Eng. Struct., 28(3), 441-452. https://doi.org/10.1016/j.engstruct.2005.09.001
  29. Xu, Y.L., Chen, B., Ng, C.L., Wong, K.Y. and Chan, W.Y. (2010), "Monitoring temperature effect on a long suspension bridges", Struct. Control Health., 17(6), 632-653.
  30. Zagrai, A.N. and Giurgiutiu, V. (2001), "Electro-mechanical impedance method for crack detection in thin plates", J. Intel. Mat. Syst. Str., 12(10), 709-718. https://doi.org/10.1177/104538901320560355

Cited by

  1. Quantification of temperature effect on impedance monitoring via PZT interface for prestressed tendon anchorage vol.26, pp.12, 2017, https://doi.org/10.1088/1361-665X/aa931b
  2. Compensation of temperature effect on impedance responses of PZT interface for prestress-loss monitoring in PSC girders vol.17, pp.6, 2016, https://doi.org/10.12989/sss.2016.17.6.881
  3. Structural identification of cable-stayed bridge under back-to-back typhoons by wireless vibration monitoring vol.88, 2016, https://doi.org/10.1016/j.measurement.2016.03.032
  4. RBFN-based temperature compensation method for impedance monitoring in prestressed tendon anchorage vol.25, pp.6, 2018, https://doi.org/10.1002/stc.2173
  5. Quantitative damage identification in tendon anchorage via PZT interface-based impedance monitoring technique vol.20, pp.2, 2015, https://doi.org/10.12989/sss.2017.20.2.181
  6. Experimental investigation of magnetic-mount PZT-interface for impedance-based damage detection in steel girder connection vol.4, pp.3, 2017, https://doi.org/10.12989/smm.2017.4.3.237
  7. Advances and challenges in impedance-based structural health monitoring vol.4, pp.4, 2015, https://doi.org/10.12989/smm.2017.4.4.301
  8. PCA-based filtering of temperature effect on impedance monitoring in prestressed tendon anchorage vol.22, pp.1, 2018, https://doi.org/10.12989/sss.2018.22.1.057
  9. Sensing Region Characteristics of Smart Piezoelectric Interface for Damage Monitoring in Plate-Like Structures vol.19, pp.6, 2019, https://doi.org/10.3390/s19061377
  10. Sensitivity of Piezoelectric-Based Smart Interfaces to Structural Damage in Bolted Connections vol.19, pp.17, 2019, https://doi.org/10.3390/s19173670
  11. Sensor Fault Diagnosis for Impedance Monitoring Using a Piezoelectric-Based Smart Interface Technique vol.20, pp.2, 2020, https://doi.org/10.3390/s20020510
  12. Bolt-Loosening Monitoring Framework Using an Image-Based Deep Learning and Graphical Model vol.20, pp.12, 2020, https://doi.org/10.3390/s20123382
  13. A Low-Cost Prestress Monitoring Method for Post-Tensioned RC Beam Using Piezoelectric-Based Smart Strand vol.11, pp.10, 2015, https://doi.org/10.3390/buildings11100431
  14. A comprehensive review of loosening detection methods for threaded fasteners vol.168, pp.None, 2015, https://doi.org/10.1016/j.ymssp.2021.108652