Wireless Impedance-Based SUM for Bolted Connections via Multiple PZT-Interfaces

  • Nguyen, Khac-Duy (Department of Ocean Engineering, Pukyong National University) ;
  • Kim, Jeong-Tae (Department of Ocean Engineering, Pukyong National University)
  • Received : 2011.04.13
  • Accepted : 2011.06.03
  • Published : 2011.06.30

Abstract

This study presents a structural health monitoring (SHM) method for bolted connections by using multi-channel wireless impedance sensor nodes and multiple PZT-interfaces. To achieve the objective, the following approaches are implemented. Firstly, a PZT-interface is designed to monitor bolt loosening in bolted connection based on variation of electro-mechanical(EM) impedance signatures. Secondly, a wireless impedance sensor node is designed for autonomous, cost-efficient and multi-channel monitoring. For the sensor platform, Imote2 is selected on the basis of its high operating speed, low power requirement and large storage memory. Finally, the performance of the wireless sensor node and the PZT-interfaces is experimentally evaluated for a bolt-connection model Damage monitoring method using root mean square deviation(RMSD) index of EM impedance signatures is utilized to estimate the strength of the bolted joint.

Keywords

Acknowledgement

Supported by : Pukyong National University

References

  1. H. F. Lam, J. M. Ko and C. W. Wong, "Localization of damaged structural connections based on experimental modal and sensitivity analysis," Journal of Sound and Vibration, Vol. 210, No.1, pp. 91-115 (1998) https://doi.org/10.1006/jsvi.1997.1302
  2. C. B. Yun, J. H. Yi and E. Y. Bahng, "Joint damage assessment of framed structures using neural networks technique," Engineering Structures, Vol. 23, No.5, pp. 425-435 (2001) https://doi.org/10.1016/S0141-0296(00)00067-5
  3. J. T. Kim, W. B. Na, J. H. Park and D. S. Hong, "Hybrid health monitoring of structural joints using modal parameters and EMI signatures," Proceeding of SPIE, San Diego, USA, Vol. 6171 (2006)
  4. T. R. Fasel, H. Sohn, G. Park and C. R. Farrar, "Active sensing using impedance-based ARX models and extreme value statistics for damage detection," Earthquake Engineering and Structural Dynamics, Vol. 34, No.7, pp. 763-785 (2005) https://doi.org/10.1002/eqe.454
  5. S. Park, C. B. Yun and Y. Roh, "PZT-induced lamb waves and pattern recognitions for on-line health monitoring of joint steel plates," Proceeding of SPIE, San Diego, USA, Vol. 5765, pp. 364-375 (2005)
  6. D. L. Mascarenas, "Development of an impedance-based wireless sensor node for monitoring of bolted joint preload," MS Thesis, Department of Structural Engineering, University of California, San Diego (2006)
  7. J. H. Park, J. T. Kim, D. S. Hong, D. Mascarenas and J. P. Lynch, "Autonomous smart sensor nodes for global and local damage detection of prestressed concrete bridges based on accelerations and impedance measurements," Smart Structures and Systems, Vol. 6, pp. 711-730 (2010)
  8. J. H. Park, D. D. Ho, K. D. Nguyen and J. T. Kim, "Multi-scale hybrid sensor nodes for acceleration-impedance monitoring for steel structural connections," Proceeding of SPIE, San Diego (2011)
  9. E. G. Straser and A. S. Kiremidjian, A Modular, "Wireless damage monitoring system for structure," Technical Report 128, John A. Blume Earthquake Engineering Center, Stanford University, Stanford, CA (1998)
  10. B. F. Spencer, M. E. Ruiz-Sandoval and N. Kurata, "Smart sensing technology: opportunities and challenges," Structural Control and Health Monitoring, Vol. 11, pp. 349-368 (2004) https://doi.org/10.1002/stc.48
  11. N. Kurata, B. F. Spencer and M. Ruiz-Sandoval, "Risk monitoring of buildings with wireless sensor networks," Structural Control and Health Monitoring, Vol. 12, pp. 315-327 (2005) https://doi.org/10.1002/stc.73
  12. J. P. Lynch and K. Loh, "A summary review of wireless sensors and sensor networks for structural health monitoring," Shock and Vibration Digest, Vol. 38, No. 2, pp. 91-128 (2006) https://doi.org/10.1177/0583102406061499
  13. T. Nagayama, S. H. Sim, Y. Miyamori and B. F. Spencer, "Issues in structural health monitoring employing smart sensors," Smart Structures and Systems, Vol. 3, No.3, pp. 299-320 (2007)
  14. V. Krishnamurthy, K. Fowler and E. Sazonov, "The effect of time synchronization of wireless sensors on the modal analysis of structures," Smart Materials and Structures, Vol. 17, No.5, pp. 1-13 (2008)
  15. D. Dhital, C. C. Chia, J. R. Lee and C. Y. Park, "Review of radio frequency identification and wireless technology for structural health monitoring," Journal of the Korean Society for Nondestructive Testing, Vol. 30, No.3, pp. 244-256 (2010)
  16. D. L. Mascarenas, M. D. Todd, G. Park, and C. R. Farrar, "Development of an impedance-based wireless sensor node for structural health monitoring," Smart Materials and Structures, Vol. 16, No.6, pp. 2137-2145 (2007) https://doi.org/10.1088/0964-1726/16/6/016
  17. C. Liang, F. P. Sun and C. A. Rogers, "Electro-mechanical impedance modeling of active material systems," Smart Materials and Structures, Vol. 5, No.2, pp. 171-186 (1996) https://doi.org/10.1088/0964-1726/5/2/006
  18. J. T. Kim, J. H. Park, D. S. Hong and W. S. Park, "Hybrid health monitoring of prestressed concrete girder bridges by sequential vibration-impedance approaches," Engineering Structures, Vol. 32, pp.115-12 (2010) https://doi.org/10.1016/j.engstruct.2009.08.021
  19. Piezo Systems, http://piezo.com
  20. S. Ritdumrongkul, M. Abe, Y. Fujino and T. Miyashita, "Quantitative health monitoring of bolted joints using a piezoceramic actuator-sensor," Smart Materials and Structures, Vol. 13, pp. 20-29 (2004) https://doi.org/10.1088/0964-1726/13/1/003
  21. M. Yoshimura and K. Okushima, "Measurement of dynamic rigidity and damping property for simplified joint models and simulation by computer," CIRP Annals, pp. 193-198 (1997)
  22. J. A. Rice and B. F. Spencer, "Structural health monitoring sensor development for the Imote2 platform," Proc. of SPIE, Vol. 6932, San Diego (2008)
  23. J. A. Rice, K. Mechitov, S. H. Sim, T. Nakayama, S. Jang, R. Kim, B. F. Spencer, G. Agha and Y. Fujino, "Flexible smart sensor framework for autonomous structural health monitoring," Smart Structures and Systems, Vol. 6, No. 5, pp. 423-438 (2010)
  24. Memsic Co., "Datasheet of ISM400," http://www.memsic.com
  25. Illinois Structural Health Monitoring Project, http://shm.cs.uiuc.edu (2010)
  26. T. G. Overly, G. Park, K. M. Farinholt and C. R. Farrar, "Piezoelectric activesensor diagnostics and validation using instantaneous baseline data," IEEE Sensors Journal, Vol. 9, No. 11, pp. 1414-1421 (2009) https://doi.org/10.1109/JSEN.2009.2018351
  27. Cygwin OS, http://cygwin.com/
  28. J. H. Park, D. S. Hong, J. T. Kim, M. D. Todd and D. Mascarenas, "Development of smart sensor node for hybrid health monitoring on PSC girders," Proceeding of SPIE, San Diego, USA, Vol. 6932 (2008)
  29. F. P. Sun, Z. Chaudry, C. A. Rogers, M. Majmundar and C. Liang, "Automated real-time structure health monitoring via signature pattern recognition," Proceeding of SPIE, San Diego, USA, Vol. 2443 (1995)
  30. S. Park, C. B. Yun and D. J. Inman, "Remote impedance-based loose bolt inspection using a radio-frequency active sensing node," Journal of the Korean Society for Nondestructive Testing, Vol. 27, No. 3, pp. 217-223 (2007)
  31. H. H. Chun, T. H. Lee, K. Y. Jhang and N. Kim, "Estimation of the axial stress in high-tension bolt by acoustoelastic method," Journal of the Korean Society for Nondestructive Testing, Vol. 26, No.5, pp. 285-290 (2006)