Smart Structures and Systems

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Numerical and experimental verifications on damping identification with model updating and vibration monitoring data

  • Li, Jun (Centre for Infrastructural Monitoring and Protection, School of Civil and Mechanical Engineering, Curtin University) ;
  • Hao, Hong (Centre for Infrastructural Monitoring and Protection, School of Civil and Mechanical Engineering, Curtin University) ;
  • Fan, Gao (Centre for Infrastructural Monitoring and Protection, School of Civil and Mechanical Engineering, Curtin University) ;
  • Ni, Pinghe (Centre for Infrastructural Monitoring and Protection, School of Civil and Mechanical Engineering, Curtin University) ;
  • Wang, Xiangyu (Australasian Joint Research Centre for Building Information Modelling, School of Built Environment, Curtin University) ;
  • Wu, Changzhi (Australasian Joint Research Centre for Building Information Modelling, School of Built Environment, Curtin University) ;
  • Lee, Jae-Myung (Department of Naval Architecture and Ocean Engineering, Pusan National University) ;
  • Jung, Kwang-Hyo (Department of Naval Architecture and Ocean Engineering, Pusan National University)
  • Received : 2017.01.09
  • Accepted : 2017.04.01
  • Published : 2017.08.25
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Abstract

Identification of damping characteristics is of significant importance for dynamic response analysis and condition assessment of structural systems. Damping is associated with the behavior of the energy dissipation mechanism. Identification of damping ratios based on the sensitivity of dynamic responses and the model updating technique is investigated with numerical and experimental investigations. The effectiveness and performance of using the sensitivity-based model updating method and vibration monitoring data for damping ratios identification are investigated. Numerical studies on a three-dimensional truss bridge model are conducted to verify the effectiveness of the proposed approach. Measurement noise effect and the initial finite element modelling errors are considered. The results demonstrate that the damping ratio identification with the proposed approach is not sensitive to the noise effect but could be affected significantly by the modelling errors. Experimental studies on a steel planar frame structure are conducted. The robustness and performance of the proposed damping identification approach are investigated with real measured vibration data. The results demonstrate that the proposed approach has a decent and reliable performance to identify the damping ratios.

Keywords

Acknowledgement

Supported by : National Research Foundation of Korea (NRF)

References

  1. Barbieri, N., de Souza Junior, O.H. and Barbieri, R.. (2004), "Dynamical analysis of transmission line cables. Part 2-damping estimation", Mech. Syst. Signal Pr., 18(3), 671-681. https://doi.org/10.1016/S0888-3270(02)00218-2
  2. Brincker, R., Ventura, C. and Andersen, P. (2001), "Damping estimation by frequency domain decomposition", Proceedings of the 19th International Modal Analysis Conference.
  3. Caughey, T. and O'kelly, M. (1965), "Classical normal modes in damped linear dynamic systems", J. Appl. Mech. - ASME, 32(3), 583-588. https://doi.org/10.1115/1.3627262
  4. Chen, H.P. and Maung, T.S. (2014), "Regularised finite element model updating using measured incomplete modal data", J. Sound Vib., 333(21), 5566-5582. https://doi.org/10.1016/j.jsv.2014.05.051
  5. Chopra, A.K. (1995), Dynamics of structures, Prentice Hall New Jersey.
  6. Devriendt, D., Jordaens, P.J., De Sitter, G. and Guillaume, P. (2013), "Damping estimation of an offshore wind turbine on a monopile foundation", IET Renew. Power Generation, 7(4), 401-412. https://doi.org/10.1049/iet-rpg.2012.0276
  7. Ding, Y. and Law, S.S. (2011), "Structural damping identification based on an iterative regularization method", J. Sound Vib., 330(10), 2281-2298. https://doi.org/10.1016/j.jsv.2010.11.026
  8. Huang, F.L., Wang, X.M., Chen, Z.Q., He, X.H. and Ni, Y.Q. (2007), "A new approach to identification of structural damping ratios", J. Sound Vib., 303(1-2), 144-153. https://doi.org/10.1016/j.jsv.2006.12.026
  9. Hansen, P.C. (1992), "Analysis of discrete Ill-posed problems by means of the L-curve", SIAM Review, 34(4), 561-580. https://doi.org/10.1137/1034115
  10. Holland, D.E. and Epureanu, B.I. "A component damping identification method for mistuned blisks", Mech. Syst. Signal Pr., 41(1-2), 598-612. https://doi.org/10.1016/j.ymssp.2013.07.003
  11. Ibrahim, S. (1956), "An approach for reducing computational requirements in modal identification", AIAA J., 24(10), 1725-1727. https://doi.org/10.2514/3.9516
  12. Juang, J.N. and Pappa, R.S. (1985), "An eigensystem realization algorithm for modal parameter identification and model reduction", J. Guid. Control Dynam., 8(5), 620-627. https://doi.org/10.2514/3.20031
  13. Kang, J.S., Park, S.K., Shin, S. and Lee, H.S. (2005), "Structural system identification in time domain using measured acceleration", J. Sound Vib., 288(1-2), 215-234. https://doi.org/10.1016/j.jsv.2005.01.041
  14. Li, J. and Hao, H. (2014),"Substructure damage identification based on wavelet domain response reconstruction", Struct. Health Monit., 13(4), 389-405. https://doi.org/10.1177/1475921714532991
  15. Li, J. and Hao, H. (2015), "Damage detection of shear connectors under moving loads with relative displacement measurements", Mech. Syst. Signal Pr., 60-61, 124-150. https://doi.org/10.1016/j.ymssp.2014.09.014
  16. Li, J., Hao, H. and Lo, J.V. (2015), "Structural damage identification with power spectral density transmissibility: Numerical and experimental studies", Smart Struct. Syst., 15(1), 15-40. https://doi.org/10.12989/sss.2015.15.1.015
  17. Li, J., Hao, H. and Zhu, H.P. (2014), "Dynamic assessment of shear connectors in composite bridges with ambient vibration measurements", Adv. Struct. Eng., 17(5), 617-638. https://doi.org/10.1260/1369-4332.17.5.617
  18. Li, J., Law, S. and Ding, Y. (2012), "Substructure damage identification based on response reconstruction in frequency domain and model updating", Eng. Struct., 41, 270-284. https://doi.org/10.1016/j.engstruct.2012.03.035
  19. Li, P.H., Zhu, H.P., Luo, H. and Weng, S. (2015), "Structural damage identification based on genetically trained ANNs in beams", Smart Struct. Syst., 15(1), 227-244. https://doi.org/10.12989/sss.2015.15.1.227
  20. Li, X.Y. and Law, S.S. (2009), "Identification of structural damping in time domain", J. Sound Vib., 328(1-2) 71-84. https://doi.org/10.1016/j.jsv.2009.07.033
  21. Liu, K., Law, S.S., Xia, Y. and Zhu, X.Q. (2014), "Singular spectrum analysis for enhancing the sensitivity in structural damage detection", J. Sound Vib., 333(2), 392-417. https://doi.org/10.1016/j.jsv.2013.09.027
  22. Newmark, N.W. (1959), "A method of computation for structural dynamics", J. Eng. Mech. Div. - ASCE, 85(3), 67-94.
  23. Olmos, B.A. and Roesset, J.M. (2010), "Evaluation of the half-power bandwidth method to estimate damping in systems without real modes", Earthq. Eng. Struct. D., 39 (14), 1671-1686. https://doi.org/10.1002/eqe.1010
  24. Papagiannopoulos, G.A. and Hatzigeorgiou, G.D. (2011), "On the use of the half-power bandwidth method to estimate damping in building structures", Soil Dynam. Earthq. Eng., 31(7), 1075-1079. https://doi.org/10.1016/j.soildyn.2011.02.007
  25. Pradhan, S. and Modak, S. (2012), "A method for damping matrix identification using frequency response data", Mech. Syst. Signal Pr., 33, 69-82. https://doi.org/10.1016/j.ymssp.2012.07.002
  26. Salzmann, A., Fragomeni, S. and Loo, Y.C. (2003), "The damping analysis of experimental concrete beams under free-vibration", Adv. Struct. Eng., 6(1), 53-64. https://doi.org/10.1260/136943303321625739
  27. Slavic, J. and Boltezar, M. (2011), "Damping identification with the Morlet-wave", Mech. Syst. Signal Pr., 25(5) 1632-1645. https://doi.org/10.1016/j.ymssp.2011.01.008
  28. Tikhonov, A.N. (1963), "On the solution of Ill-posed problems and the method of regularization", Soviet Mathematics, 4, 1035-1038.
  29. Uhl, T. and Klepka, A. (2005), "Application of wavelet transform for identification of modal parameters of nonstationary systems", J. Theoretical Appl. Mech., 43, 277-296.
  30. Wang, I. (2011), "An analysis of higher order effects in the half power method for calculating damping", J. Appl. Mech. - ASME, 78(1), 014501. https://doi.org/10.1115/1.4002208
  31. Wang, W., Li, Q., Gao, J., Yao, J. and Allaire, P. (2016), " An identification method for damping ratio in rotor systems", Mech. Syst. Signal Pr., 68-69, 536-554. https://doi.org/10.1016/j.ymssp.2015.05.023
  32. Xu, Y., Chen, S. and. Zhang, R. (2003), "Modal identification of Di Wang Building under typhoon York using the Hilbert-Huang transform method", Struct. Des. Tall Spec. Build., 12(1), 21-47. https://doi.org/10.1002/tal.211
  33. Ye, X.W., Dong, C.Z. and Liu, T. (2016a), "Force monitoring of steel cables using vision-based sensing technology: methodology and experimental verification", Smart Struct. Syst., 18(3), 585-599. https://doi.org/10.12989/sss.2016.18.3.585
  34. Ye, X.W., Dong, C.Z. and Liu, T. (2016b), "Image-based structural dynamic displacement measurement using different multi-object tracking algorithms", Smart Struct. Syst., 17(6), 935-956. https://doi.org/10.12989/sss.2016.17.6.935
  35. Ye, X.W., Yi, T.H., Wen, C. and Su, Y.H. (2015), "Reliability-based assessment of steel bridge deck using a mesh-insensitive structural stress method", Smart Struct. Syst., 16(2), 367-382. https://doi.org/10.12989/sss.2015.16.2.367
  36. Yi, T.H., Li, H.N. and Wang, C.W. (2016), "Multiaxial sensor placement optimization in structural health monitoring using distributed wolf algorithm", Struct. Control Health Monit., 23(4), 719-734. https://doi.org/10.1002/stc.1806
  37. Yi, T.H., Wen, K.F. and Li, H.N. (2016), "A new swarm intelligent optimization algorithm: pigeon colony algorithm (PCA)", Smart Struct. Syst., 18(3), 425-448. https://doi.org/10.12989/sss.2016.18.3.425
  38. Zhang, H., Yang, J. and Xiao, L. (2014), "Damping ratio identification using a continuous wavelet transform to vortex-induced motion of a Truss Spar", Ships Offshore Struct., 9(6), 596-604. https://doi.org/10.1080/17445302.2014.887173

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