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Integration of health monitoring and vibration control for smart building structures with time-varying structural parameters and unknown excitations

  • Xu, Y.L. (Department of Civil and Environmental Engineering, The Hong Kong Polytechnic University) ;
  • Huang, Q. (Department of Civil and Environmental Engineering, The Hong Kong Polytechnic University) ;
  • Xia, Y. (Department of Civil and Environmental Engineering, The Hong Kong Polytechnic University) ;
  • Liu, H.J. (Shenzhen Graduate School, Harbin Institute of Technology)
  • Received : 2014.11.28
  • Accepted : 2015.01.21
  • Published : 2015.03.25

Abstract

When a building structure requires both health monitoring system and vibration control system, integrating the two systems together will be cost-effective and beneficial for creating a smart building structure with its own sensors (nervous system), processors (brain system), and actuators (muscular system). This paper presents a real-time integrated procedure to demonstrate how health monitoring and vibration control can be integrated in real time to accurately identify time-varying structural parameters and unknown excitations on one hand, and to optimally mitigate excessive vibration of the building structure on the other hand. The basic equations for the identification of time-varying structural parameters and unknown excitations of a semi-active damper-controlled building structure are first presented. The basic equations for semi-active vibration control of the building structure with time-varying structural parameters and unknown excitations are then put forward. The numerical algorithm is finally followed to show how the identification and the control can be performed simultaneously. The results from the numerical investigation of an example building demonstrate that the proposed method is feasible and accurate.

Keywords

References

  1. Basu, B., Nagarajaiah, S. and Chakraborty, A. (2008), "Online identification of linear time-varying stiffness of structural systems by wavelet analysis", Struct. Health Monit. 7(1), 21-26. https://doi.org/10.1177/1475921707081968
  2. Chen, B. and Xu, Y.L. (2008), "Integrated vibration control and health monitoring of building structures using semi-active friction dampers: Part II-Numerical investigation", Eng. Struct., 30(3), 573-587. https://doi.org/10.1016/j.engstruct.2007.03.006
  3. Chen, B., Xu, Y.L. and Zhao, X. (2010), "Integrated vibration control and health monitoring of building structures: a time-domain approach", Smart Struct. Syst., 6(7), 811-833. https://doi.org/10.12989/sss.2010.6.7.811
  4. Deng, F., Remond, D. and Gaudiller, L. (2011), "Self-adaptive modal control for time-varying structures", J. Sound Vib., 330, 3301-15. https://doi.org/10.1016/j.jsv.2011.01.004
  5. Doebling, S.W., Farrar, C.R., Prime, M.B. and Shevitz, D.W. (1996), "Damage identification and health monitoring of structural and mechanical systems from changes in their vibration characteristics: a literature review", Los Alamos National Lab., NM(United States).
  6. Gattulli, V. and Romeo, F. (2000), "Integrated procedure for identification and control of MDOF structures", J. Eng. Mech. -ASCE, 126(7), 730-737. https://doi.org/10.1061/(ASCE)0733-9399(2000)126:7(730)
  7. Gavin, G.P, Hanson, R.D and Filisko, F.E. (1996), "Electrorheological dampers. Part I: analysis and design", J. Appl. Mech. -T ASME, 63, 669-675. https://doi.org/10.1115/1.2823348
  8. Housner, G.W., Bergman, L.A., Caughey, T.K., Chassiakos, A.G., Claus, R.O., Masri, S.F., Skelton, R.E., Soong, T.T., Spencer, B.F. and Yao, J.T.P. (1997), "Structural control: past present, and future", J. Eng. Mech. -ASCE, 123, 897-971. https://doi.org/10.1061/(ASCE)0733-9399(1997)123:9(897)
  9. Huang, Q., Xu, Y.L., Li, J.C., Su, Z.Q. and Liu, H.J. (2012), "Structural dameage detection of controlled building structures using frequency response functions", J. Sound Vib, 331, 3476-3492. https://doi.org/10.1016/j.jsv.2012.03.001
  10. Kosmatopoulos, E.B., Smyth, A.W., Masri, S.F. and Chassiakos, A.G. (2001), "Robust adaptive neural estimation of restoring forces in nonlinear structures", J. Appl. Mech. - T ASME, 68(6), 880-893. https://doi.org/10.1115/1.1408614
  11. Lei, Y., Jiang, Y. and Xu, Z. (2012a), "Structural damage detection with limited input and output measurement signals", Mech. Syst. Signal Pr., 28, 229-243. https://doi.org/10.1016/j.ymssp.2011.07.026
  12. Lei, Y., Wu, Y. and Li, T. (2012b), "Idntification of non-linear structural parameters under limited input and output measurements", Int. J. Nonlinear: Mech., 47(10), 1141-1146. https://doi.org/10.1016/j.ijnonlinmec.2011.09.004
  13. Mufti, A.A. (2001), Guidelines for Structural Health Monitoring, Winnipeg, Manitoba: ISIS Canada.
  14. Nagarajaiah, S. and Jung, H.J. (2014), "Smart tuned mass dampers: recent developments", Smart Struct. Syst., 13(2), 173-176. https://doi.org/10.12989/sss.2014.13.2.173
  15. Nishitani, A. and Inoue, Y. (2001), "Overview of the application of active/semiactive control to building structures in Japan", Earthq. Eng. Struct. D., 30, 1565-1574. https://doi.org/10.1002/eqe.81
  16. Qu, W.L. and Xu, Y.L. (2001), "Semi-active control of seismic response of tall buildings with podium structure using ER/MR dampers", Struct. Des. Tall Buil., 10(3), 179-192. https://doi.org/10.1002/tal.177
  17. Ray, L.R. and Tian, L. (1999), "Damage detection in smart structures through sensitivity enhancing feedback control", J. Sound Vib., 227(5), 987-1002. https://doi.org/10.1006/jsvi.1999.2392
  18. Sohn, H., Farrar, C.R., Hemez, F.M., Shunk, D.D., Stinemates, D.W. and Nadler, B.R. (2003), A review of structural health monitoring literature: 1996-2001, Los Alamos National Laboratory Report, LA-13976-MS.
  19. Spencer, B.F. and Nagrarajaiah, S. (2003), "State of the art of structural control", J. Struct. Eng. -ASCE, 129(7), 845-56. https://doi.org/10.1061/(ASCE)0733-9445(2003)129:7(845)
  20. Viscardi, M. and Lecce, L. (2002), "An integrated system for active vibro-acoustic control and damage detection on a typical aeronautical structure", Proceedings of the 2002 IEEE International Conference on Control Applications 2002 Glasgow, Scotland, U.K.
  21. Wenzel, H. (2009), Health Monitoring of Bridges, John Wiley & Sons.
  22. Xu, Y.L. and Chen, B. (2008), "Integrated vibration control and health monitoring of building structures using semi-active friction dampers:Part I-Theory", Eng. Struct., 30(7), 1789-1801. https://doi.org/10.1016/j.engstruct.2007.11.013
  23. Xu, Y.L. Huang, Q., Zhan, S. Su, Z.Q. and Liu, H.J. (2014), "FRF-based structural damage detection of controlled buildings with podium structures: Experimental investigation", J. Sound Vib., 333(13), 2762-2775. https://doi.org/10.1016/j.jsv.2014.02.010
  24. Xu, Y.L., Qu W.L. and Ko J.M. (2000), "Seismic response control of frame structures using magnetorheological/electrorheological dampers", Earthq. Eng. Struct. D., 29(5), 557-575. https://doi.org/10.1002/(SICI)1096-9845(200005)29:5<557::AID-EQE922>3.0.CO;2-X
  25. Xu, Y.L., and Xia, Y. (2012), Structural Health Monitoring of Long-span Suspension Bridges, CRC Press.
  26. Yang, H.T.Y., Shan, J.Z., Randall, C.J., Hansma, P.K. and Shi, W.X. (2013), "Integration of health monitoring and control of building structures during earthquakes", J. Eng. Mech. -ASCE. DOI: 10.1061/(ASCE)EM.1943-7889.0000718.
  27. Yang, J.N. and Huang, H. (2007), "Sequential non-linear least-square estimation for damage identification of structures with unknown inputs and unknown outputs", Int. J. Nonlinear. Mech., 42(5), 789-801. https://doi.org/10.1016/j.ijnonlinmec.2007.03.004
  28. Yang, J.N., Pan, S. and Lin, S. (2007), "Least-squares estimation with unknown excitations for damage identification of structures", J. Eng. Mech. -ASCE, 133(1), 12-21. https://doi.org/10.1061/(ASCE)0733-9399(2007)133:1(12)

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