DOI QR코드

DOI QR Code

Compensation of temperature effect on impedance responses of PZT interface for prestress-loss monitoring in PSC girders

  • Huynh, Thanh-Canh (Department of Ocean Engineering, Pukyong National University) ;
  • Kim, Jeong-Tae (Department of Ocean Engineering, Pukyong National University)
  • Received : 2015.11.21
  • Accepted : 2016.04.11
  • Published : 2016.06.25

Abstract

In this study, a method to compensate the effect of temperature variation on impedance responses which are used for prestress-loss monitoring in prestressed concrete (PSC) girders is presented. Firstly, an impedance-based technique using a mountable lead-zirconate-titanate (PZT) interface is presented for prestress-loss monitoring in the local tendon-anchorage member. Secondly, a cross-correlation-based algorithm to compensate the effect of temperature variation in the impedance signatures is outlined. Thirdly, lab-scale experiments are performed on a PSC girder instrumented with a mountable PZT interface at the tendon-anchorage. A series of temperature variation and prestress-loss events are simulated for the lab-scale PSC girder. Finally, the feasibility of the proposed method is experimentally verified for prestress-loss monitoring in the PSC girder under temperature-varying conditions and prestress-loss events.

Keywords

Acknowledgement

Supported by : National Research Foundation of Korea (NRF)

References

  1. Fabricio, G.B., Danilo, E.B., Vinicius, A.D.A. and Jose, A.C.U. (2014), "An experimental study on the effect of temperature on piezoelectric sensors for impedance-based structural health monitoring", Sensors, 14, 1208-1227. https://doi.org/10.3390/s140101208
  2. 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
  3. Ho, D.D., Lee, P.Y., Nguyen, K.D., Hong, D.S., Lee, S.Y., Kim, J.T., Shin, S.W., Yun, C.B. and Shinozuka, M. (2012), "Solar-powered multi-scale sensor node on imote2 platform for hybrid SHM in cable-stayed bridge", Smart Struct. Syst., 9(2), 145-164. https://doi.org/10.12989/sss.2012.9.2.145
  4. 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.
  5. Huynh, T.C. and Kim, J.T. (2014), "Impedance-based cable force monitoring in tendon-anchorage using portable PZT-interface technique", Math. Probl. Eng., Article ID 784731, 1-11.
  6. Huynh, T.C., Park, Y.H., Park, J.H. and Kim, J.T. (2015a), "Feasibility verification of mountable PZT-interface for impedance monitoring in tendon-anchorage", J. Shock Vib., 2015, 1-11.
  7. Huynh, T.C., Lee, K.S. and Kim, J.T. (2015b), "Local dynamic characteristics of PZT impedance interface on tendon anchorage under prestress force variation", Smart Struct. Syst., 15(2), 375-393. https://doi.org/10.12989/sss.2015.15.2.375
  8. Huynh, T.C., Park, Y.H., Park, J.H., Hong, D.S., and Kim, J.T. (2015c), "Effect of temperature variation on vibration monitoring of prestressed concrete structures", J. Shock Vib., 2015, 1-9.
  9. Huynh, T.C., Park, J.H. and Kim, J.T. (2016), "Structural identification of cable-stayed bridge under back-to-back typhoons by wireless vibration monitoring", Measurement, 10.1016/j.measurement.2016.03.032.
  10. Huynh, T.C. and Kim, J.T. (2016), "FOS-based prestress force monitoring and temperature effect estimation in unbonded tendons of PSC girders", J. Aerospace Eng., 10.1061/(ASCE)AS.1943-5525.0000608, B4016005.
  11. 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
  12. Koo, K.Y, Park, S.H., 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, 367-377. https://doi.org/10.1177/1045389X08088664
  13. Kim, J.T., Huynh, T.C. and Lee, S.Y. (2014), "Wireless structural health monitoring of stay cables under two consecutive typhoons", Struct. Monit. Maint., 1(1), 47-67. https://doi.org/10.12989/SMM.2014.1.1.047
  14. Kim, J.T., Nguyen, K.D. and Huynh, T.C. (2013), "Wireless health monitoring of stay cable using piezoelectric strain response and smart skin technique", Smart Struct. Syst., 12(3-4), 381-379. https://doi.org/10.12989/sss.2013.12.3_4.381
  15. 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.
  16. 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
  17. 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.
  18. 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. Monit. Maint., 1(1), 1-45. https://doi.org/10.12989/SMM.2014.1.1.001
  19. 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
  20. 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 Mater. Struct., 15(6), 1561-1575. https://doi.org/10.1088/0964-1726/15/6/008
  21. Mascarenas, D.L., Todd, M.D., Park, G. and Farrar, C.R. (2007), "Development of an impedance-based wireless sensor node for structural health monitoring", Smart Mater. Struct., 16(6), 2137-2145. https://doi.org/10.1088/0964-1726/16/6/016
  22. Min, J.Y. (2012), Structural health monitoring for civil infrastructure using wireless impedance sensor nodes and smart assessment techniques, PhD Thesis, Department of Civil and Environmental Engineering, KAIST, Korea.
  23. 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
  24. Park, J.H., Kim, J.T., Hong, D.S., Mascarenas, D. and Lynch, J.P. (2010), "Autonomous smart sensor nodes for global and local damage detection of prestressed concrete bridges based on accelerations and impedance measurements", Smart Struct. Syst., 6(5-6), 711-730. https://doi.org/10.12989/sss.2010.6.5_6.711
  25. Park, J.H., Huynh, T.C. and Kim, J.T. (2015), "Temperature effect on wireless impedance monitoring in tendon anchorage of prestressed concrete girder", Smart Struct. Syst., 15(4), 1159-1175. https://doi.org/10.12989/sss.2015.15.4.1159
  26. Park, G., Kabeya, K., Cudney, H. and Inman, D. (1999), "Impedance-based structural health monitoring for temperature varying applications", JSME Int. J. Ser. A Solid Mech. Mater. Eng., 42, 249-258.
  27. 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
  28. Sepehry, N., Shamshirsaz, M. and Abdollahi, F. (2011), "Temperature variation effect compensation in impedance-based structural health monitoring using neural networks", J. Intel. Mat. Syst. Str., 20(10), 1-8.
  29. Siebel, T. and Lilov, M. (2013), "Experimental investigation on improving electromechanical impedance based damage detection by temperature compensation", Key Eng. Mater., 569-570, 1132-1139. https://doi.org/10.4028/www.scientific.net/KEM.569-570.1132
  30. 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
  31. 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
  32. Yun, C., Cho, S., Park, H., Min, J. and Park, J. (2013), "Smart wireless sensing and assessment for civil infrastructure", Struct. Infrastruct. Eng. Maint. Manag. Life-Cycle Design Perform., 10(4), 534-550.
  33. Zagrai, A.N. and Giurgiutiu, V. (2001), "Electro-mechanical impedance method for crack detection in thin plates", J. Intel. Mat. Syst. Str., 12, 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. RBFN-based temperature compensation method for impedance monitoring in prestressed tendon anchorage vol.25, pp.6, 2018, https://doi.org/10.1002/stc.2173
  3. Hybrid bolt-loosening detection in wind turbine tower structures by vibration and impedance responses vol.24, pp.4, 2016, https://doi.org/10.12989/was.2017.24.4.385
  4. Quantitative damage identification in tendon anchorage via PZT interface-based impedance monitoring technique vol.20, pp.2, 2016, https://doi.org/10.12989/sss.2017.20.2.181
  5. 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
  6. Advances and challenges in impedance-based structural health monitoring vol.4, pp.4, 2016, https://doi.org/10.12989/smm.2017.4.4.301
  7. 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
  8. Preload Monitoring in Bolted Connection Using Piezoelectric-Based Smart Interface vol.18, pp.9, 2016, https://doi.org/10.3390/s18092766
  9. Advances in the Structural Health Monitoring of Bridges Using Piezoelectric Transducers vol.18, pp.12, 2016, https://doi.org/10.3390/s18124312
  10. Quantitative loosening detection of threaded fasteners using vision-based deep learning and geometric imaging theory vol.133, pp.None, 2022, https://doi.org/10.1016/j.autcon.2021.104009
  11. A comprehensive review of loosening detection methods for threaded fasteners vol.168, pp.None, 2016, https://doi.org/10.1016/j.ymssp.2021.108652