Structural Engineering and Mechanics

Techno-Press (테크노프레스)
권호 표지
DOI QR코드

DOI QR Code

System identification of a building structure using wireless MEMS and PZT sensors

  • Kim, Hongjin (School of Architecture & Civil Engineering, Kyungpook National University) ;
  • Kim, Whajung (School of Architecture & Civil Engineering, Kyungpook National University) ;
  • Kim, Boung-Yong (School of Architecture & Civil Engineering, Kyungpook National University) ;
  • Hwang, Jae-Seung (School of Architecture, Chonnam National University)
  • Received : 2007.08.31
  • Accepted : 2008.05.02
  • Published : 2008.09.30
⟨ Previous Next ⟩

Abstract

A structural monitoring system based on cheap and wireless monitoring system is investigated in this paper. Due to low-cost and low power consumption, micro-electro-mechanical system (MEMS) is suitable for wireless monitoring and the use of MEMS and wireless communication can reduce system cost and simplify the installation for structural health monitoring. For system identification using wireless MEMS, a finite element (FE) model updating method through correlation with the initial analytical model of the structure to the measured one is used. The system identification using wireless MEMS is evaluated experimentally using a three storey frame model. Identification results are compared to ones using data measured from traditional accelerometers and results indicate that the system identification using wireless MEMS estimates system parameters with reasonable accuracy. Another smart sensor considered in this paper for structural health monitoring is Lead Zirconate Titanate (PZT) which is a type of piezoelectric material. PZT patches have been applied for the health monitoring of structures owing to their simultaneous sensing/actuating capability. In this paper, the system identification for building structures by using PZT patches functioning as sensor only is presented. The FE model updating method is applied with the experimental data obtained using PZT patches, and the results are compared to ones obtained using wireless MEMS system. Results indicate that sensing by PZT patches yields reliable system identification results even though limited information is available.

Keywords

References

  1. Analog Devices, ADXL103 Data Sheets, http://analog.com
  2. Baruch, M. (1978), "Optimization procedure to correct stiffness and flexibility matrices using vibration tests", AIAA J., 16(11), 1208-1210. https://doi.org/10.2514/3.61032
  3. Baruch, M. and Bar-Itzhack, I.Y. (1978), "Optimal weighted orthogonalization of measured modes", AIAA J., 16(11), 346-351. https://doi.org/10.2514/3.60896
  4. Bhalla, S. and Soh, C.K. (2004), "High frequency piezoelectric signatures for diagnosis of seismic/blast induced structural damages", NDT & E Int., 37(1), 23-33. https://doi.org/10.1016/j.ndteint.2003.07.001
  5. Chopra, A.K. (2000), Dynamics of Structures: Theory and Applications to Earthquake Engineering, Prentice Hall, NJ.
  6. East Mingtao, Piezo Element with Lead Wire, http://east-mingtao.com
  7. Friswell, M.I. and Mottershead, J.E. (1995), Finite Element Model Updating in Structural Dynamics, Kluwer Academic Publishers, Netherlands.
  8. Gao, Y. and Spencer, Jr. B.F. (2007), "Experimental verification of a distributed computing strategy for structural health monitoring", Smart Struct. Syst., 3(4), 455-474. https://doi.org/10.12989/sss.2007.3.4.455
  9. Helvajian, H. (1999), Microengineering Aerospace Systems, Aerospace Press Series, AIAA.
  10. Hierold, C. (2004), "From micro- to nanosystems: Mechanical sensors go nano", J. Micromech. Microeng., 14, S1-S11. https://doi.org/10.1088/0960-1317/14/1/301
  11. Kinawi, H., Taha, M.M.R. and El-Sheimy N. (2002), "Structural health monitoring using the semantic wireless: A novel application for wireless networking", Proceedings of the 27th Annual IEEE Conference on Local Computer Networks, Tampa, Florida, November.
  12. Kruger, M., Grobe, C.U. and Marron, P.J. (2005), "Wireless structural health monitoring using MEMS", Key Eng. Mater., 293-295, 625-634.
  13. Lance Measurement Technologies, Built-in IC Piezoelectric Accelerometers, http://www.lancetec.com
  14. Lee, J.J. and Yun, C.B. (2006), "Two-step approaches for effective bridge health monitoring", Struct. Eng. Mech., 23(1), 75-95. https://doi.org/10.2208/jsceseee.23.75s
  15. Li, C. and Reinhorn, J.C. (1995), "Experimental and analytical investigation of seismic retrofit of structures with supplemental damping: Part II - friction devices", Technical Report NCEER-95-0009, National Centre for Earthquake Engineering Research, Buffalo, NY.
  16. Lin, R.M. and Wang, W.J. (2006), "Structural dynamics of Microsystems - current state of research and future directions", Mech. Sys. Signal Pr., 20, 1015-1043. https://doi.org/10.1016/j.ymssp.2005.08.013
  17. Lynch, J.P., Partridge, A., Law, K.H., Kenny, T.W., Kiremidjian, A.S. and Carryer, E. (2003), "Design of piezoresistive MEMS-based accelerometer for integration with wireless sensing unit for structural monitoring", J. Aerospace Eng., 16(3), 108-114. https://doi.org/10.1061/(ASCE)0893-1321(2003)16:3(108)
  18. Ljung, L. (2007), System Identification Toolbox User's Guide, Mathworks.
  19. Obadat, M., Lee, H., Bhatti, M.A. and Maclean, B. (2003), "Full-scale field evaluation of microelectromechanical system-based biaxial strain transducer and its application in fatigue analysis", J. Aerospace Eng., 16(3), 100- 107. https://doi.org/10.1061/(ASCE)0893-1321(2003)16:3(100)
  20. Park, G., Sohn, H., Farrar, C.R. and Inman, D.J. (2003), "Overview of piezoelectric impedance-based health monitoring and path forward", Shock Vib., 35(6), 451-463. https://doi.org/10.1177/05831024030356001
  21. Pandit, S.M. (1991), Modal and Spectrum Analysis: Data Dependent Systems in State Space, Wiley Interscience, New York.
  22. Shinozuka, M., Feng, M.Q., Chou, P., Chen, Y. and Park, C. (2003), "MEMS-based wireless real-time health monitoring of bridges", Proceedings of the 3rd International Conference on Earthquake Engineering, Nanjing, China, October.
  23. Soh, C.K., Tseng, K.K-H., Bhalla, S. and Gupta, A. (2000), "Performance of smart piezoceramic patches in health monitoring of a RC bridge", Smart Mater. Struct., 9(4), 533-543. https://doi.org/10.1088/0964-1726/9/4/317
  24. Staszewski, W., Boller, C. and Tomlinson, G.R. (2004), Health Monitoring of Aerospace Structures: Smart Sensor Technologies and Signal Processing, John Wiley and Sons, England.
  25. Tseng, K.K. and Wang, L. (2004), "Smart piezoelectric transducers for in situ health monitoring of concrete", Smart Mater. Struct., 13, 1017-1024. https://doi.org/10.1088/0964-1726/13/5/006
  26. Van Overschee, P. and Demoor , B. (1994), "N4SID: Subspace algorithms for the Identification of Combined Deterministic-Stochastic Systems", Automatica, 30(1), 75-93. https://doi.org/10.1016/0005-1098(94)90230-5
  27. Vittorio, S.A. (2001), "MicroElectroMechanical Systems (MEMS)," Cambridge Scientific Abstracts, October, 1-11.
  28. Zhang, Y., Cheng, L. and Naito, C. (2005), "A study of wireless MEMS accelerometers for civil infrastructure monitoring", Technical Report LU-CSE-05-015, Department of Computer Science and Engineering, Lehigh University.

Cited by

  1. Modal Parameters Estimation of Building Structures from Vibration Test Data Using Observability Measurement vol.2015, 2015, https://doi.org/10.1155/2015/627852
  2. Evaluation of Ambient Vibration Test Method for Historic Wooden Buildings Based on the Rigid Diaphragm Assumption vol.15, pp.2, 2016, https://doi.org/10.3130/jaabe.15.287
  3. A new method for optimal selection of sensor location on a high-rise building using simplified finite element model vol.37, pp.6, 2008, https://doi.org/10.12989/sem.2011.37.6.671