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Output-only modal identification approach for time-unsynchronized signals from decentralized wireless sensor network for linear structural systems

  • Park, Jae-Hyung (Department of Ocean Engineering, Pukyong National University) ;
  • Kim, Jeong-Tae (Department of Ocean Engineering, Pukyong National University) ;
  • Yi, Jin-Hak (Korea Ocean Research & Development Institute)
  • 투고 : 2010.09.02
  • Accepted : 2010.12.09
  • Published : 2011.01.25

Abstract

In this study, an output-only modal identification approach is proposed for decentralized wireless sensor nodes used for linear structural systems. The following approaches are implemented to achieve the objective. Firstly, an output-only modal identification method is selected for decentralized wireless sensor networks. Secondly, the effect of time-unsynchronization is assessed with respect to the accuracy of modal identification analysis. Time-unsynchronized signals are analytically examined to quantify uncertainties and their corresponding errors in modal identification results. Thirdly, a modified approach using complex mode shapes is proposed to reduce the unsynchronization-induced errors in modal identification. In the new way, complex mode shapes are extracted from unsynchronized signals to deal both with modal amplitudes and with phase angles. Finally, the feasibility of the proposed approach is evaluated from numerical and experimental tests by comparing with the performance of existing approach using real mode shapes.

Keywords

References

  1. Bendat, J.S. and Piersol, A.G. (1993), Engineering applications of correlation and spectral analysis, Wiley- Interscience, New York, NY.
  2. Brincker, R., Zhang, L. and Andersen, P. (2001), "Modal identification of output-only systems using frequency domain decomposition", Smart Materials and Structures, 10(3), 441-445. https://doi.org/10.1088/0964-1726/10/3/303
  3. Ewins, D.J. (2000) Modal testing: theory, practice and application, second edition, Research Studies Press LTD., Hertfordshire, England.
  4. Elson, J., Girod, L. and Estrin, D. (2002), "Fine-grained network time synchronization using reference broadcasts", Proceedings of 5th Symposium on Operating Systems Design and Implementation, Boston, December.
  5. Doebling, S.W., Farrar, C.R. and Prime, M.B. (1998), "A summary review of vibration-based damage identification methods", Shock and Vibration Digest, 30(2), 91-105. https://doi.org/10.1177/058310249803000201
  6. Farrar, C.R. (2001), Historical overview of structural health monitoring, lecture notes on structural health monitoring using statistical pattern recognition, Los Alamos Dynamics, Los Alamos, NM.
  7. Hermans, L. and Van Der Auweraer, H. (1999), "Modal testing and analysis of structures under operational conditions: industrial applications", Mechanical Systems and Signal Processing, 13(2), 193-216. https://doi.org/10.1006/mssp.1998.1211
  8. Ibrahim, S.R. and Mikulcik, E.C. (1977), "A method for the direct identification of vibration parameters from the free response", Shock and Vibration Bulletin, 47(4), 183-198.
  9. Juang, J.N. and Pappa, R.S. (1985), "An eigensystem realization algorithm for modal parameter identification and model reduction", Journal of Guidance, 8(5), 620-627. https://doi.org/10.2514/3.20031
  10. Kim, J.T., Ryu, Y.S., Cho, H.M. and Stubbs, N. (2003), "Damage identification in beam-type structures: frequencybased method vs mode-shape-based method", Engineering Structures, 25(1), pp. 57-67. https://doi.org/10.1016/S0141-0296(02)00118-9
  11. Krishnamurthy, V., Fowler, K. and Sazonov, E. (2008), "The effect of time synchronization of wireless sensors on the modal analysis of structures", Smart Materials and Structures, 17(5), 1-13.
  12. Kurata, N., Spencer, B. F., and Ruiz-Sandoval, M. (2005), "Risk monitoring of buildings with wireless sensor networks", Structural Control and Health Monitoring, 12(3-4), 315-327. https://doi.org/10.1002/stc.73
  13. Lee, J.J. and Yun, C.B. (2006), "Two-step approaches for effective bridge health monitoring", Structural Engineering and Mechanics, 23(1), 75-95. https://doi.org/10.2208/jsceseee.23.75s
  14. Lu, K.C., Loh, C.H., Yang, Y.S., Lynch, J.P. and Law, K.H. (2008), "Real-time structural damage detection using wireless sensing and monitoring system", Smart Structures and Systems, 4(6), 759-777. https://doi.org/10.12989/sss.2008.4.6.759
  15. Lynch, J.P., Sundararajan, A., Law, K.H., Kiremidjian, A.S., Kenny, T. and Carryer, E. (2003), "Embedment of structural monitoring algorithms in a wireless sensing unit", Structural Engineering and Mechanics, 15(3), 385-297.
  16. 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 Materials and Structures, 15(6), 1561-1575. https://doi.org/10.1088/0964-1726/15/6/008
  17. Maia, N.M.M. and Silva, J.M.M. (1997), Theoretical and experimental modal analysis, Research Studies Press LTD., Hertfordshire, England.
  18. Maroti, M., Kusy, B., Simon, G. and Ledeczi, A. (2004), "The flooding time synchronization protocol", Proceedings of 2nd International Conference On Embedded Networked Sensor Systems, Baltimore, November.
  19. Mechitov, K.A., Kim, W., Agha, G.A. and Nagayama, T. (2004), "High-frequency distributed sensing for structure monitoring", Proceedings of 1st International Workshop on Networked Sensing Systems, Tokyo, June.
  20. Nagayama, T. (2007), Structural health monitoring using smart sensors, Ph.D Dissertation, University of Illinois at Urbana-Champaign, Illinois, IL.
  21. Nagayama. T., Sim, S. H., Miyamori, Y. and Spencer, B. F. (2007), "Issues in structural health monitoring employing smart sensors", Smart Structures and Systems, 3(3), 299-320. https://doi.org/10.12989/sss.2007.3.3.299
  22. Nagayama, T., Spencer, B.F., Mechitov, K.A. and Agha, G.A. (2009), "middleware services for structural health monitoring using smart sensors", Smart Structures and Systems, 5(2), 119-137. https://doi.org/10.12989/sss.2009.5.2.119
  23. Overschee, V.P. and De Moor, B. (1996), Subspace identification for linear systems: theory - implementation - applications, Kluwer Academic Publisher, Dordrecht, Netherlands.
  24. Park, J.H., Hong, D.S., Kim, J.T., Todd, M.D. and Mascarenas D.L. (2008), "Development of smart sensor for hybrid health monitoring on PSC girders", Proceedings of SPIE - International Symposium on Smart Structures and Materials, San Diego, March.
  25. Park, J.H. (2009), Development of autonomous smart sensor nodes for hybrid structural health monitoring of large structures, Ph.D. Dissertation, Pukyong National University, Busan, Korea.
  26. Park, J.H. and Kim, J.T. (2009), "Presterss-force monitoring using wireless impedance sensor node in PSC girder nridges", Proceedings of CTCS - The First International Conference on Computational Technologies in Concrete Structures, Jeju, May.
  27. 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 Structures and Systems, 6(5-6), 711-730. https://doi.org/10.12989/sss.2010.6.5_6.711
  28. Spencer, B.F., Ruiz-Sandoval, M.E. and Kurata, N. (2004), "Smart sensing technology: opportunities and challenges", Structural Control and Health Monitoring, 11(4), 349-368. https://doi.org/10.1002/stc.48
  29. Straser, E.G. and Kiremidjian, A.S. (1998), A modular, wireless damage monitoring system for structure, Technical Report 128, John A. Blume Earthquake Engineering Center, Stanford University, Stanford, CA.
  30. Weng, J.H, Loh, C.H., Lynch, J.P., Lu, K.C., Lin, P.Y. and Wang, Y. (2008), "Output-only modal identification of a cable-stayed bridge using wireless monitoring system", Engineering Structures, 30(7), 1820-1830. https://doi.org/10.1016/j.engstruct.2007.12.002
  31. Yi, J.H. and Yun, C.B. (2004), "Comparative study on modal identification methods using output-only information", Structural Engineering and Mechanics, 17(3-4), 445-466. https://doi.org/10.12989/sem.2004.17.3_4.445
  32. Yi, J.H. (2001), Damage assessment of structural joints using structural identification techniques, Ph.D. Dissertation, Korea Advanced Institute of Science and Technology, Daejeon, Korea.
  33. Zimmerman, A.T., Shiraishi, M., Swartz, R.A. and Lynch, J.P. (2008), "Automated modal parameter estimation by parallel processing within wireless monitoring systems", ASCE, Journal of Infrastructures Systems, 14(1), 102-113. https://doi.org/10.1061/(ASCE)1076-0342(2008)14:1(102)

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