Structural Engineering and Mechanics

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Comparative study on modal identification methods using output-only information

  • Yi, Jin-Hak (Smart Infra-Structure Technology Center, Korea Advanced Institute of Science and Technology) ;
  • Yun, Chung-Bang (Department of Civil and Environmental Engineering, Korea Advanced Institute of Science and Technology)
  • Received : 2003.03.12
  • Accepted : 2004.01.07
  • Published : 2004.03.25
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Abstract

In this paper, several modal identification techniques for output-only structural systems are extensively investigated. The methods considered are the power spectral method, the frequency domain decomposition method, the Ibrahim time domain method, the eigensystem realization algorithm, and the stochastic subspace identification method. Generally, the power spectral method is most widely used in practical area, however, the other methods may give better estimates particularly for the cases with closed modes and/or with large measurement noise. Example analyses were carried out on typical structural systems under three different loading cases, and the identification performances were examined throught the comparisons between the estimates by various methods.

Keywords

References

  1. ASCE Structural Health Monitoring Committee (2000), http://wusceel.cive.wustl.edu/asce.shm/default.htm.
  2. Bendat, J.S. and Piersol, A.G. (1993), Engineering Applications of Correlation and Spectral Analysis, JohnWiley & Sons, New York, USA.
  3. Brinker, R., Zhang, L. and Andersen, P. (2000), "Modal identification from ambient response using frequencydomain decomposition", Proc. of 16th Int. Modal Analysis Conf., San Antonio, Texas, USA, 625-630.
  4. Ewins, D.J. (1984), Modal Testing: Theory and Practice, Research Studies Press Ltd., Bruel & Kjaer.
  5. Hermans, L. and Van Der Auweraer, H. (1999), "Modal testing and analysis of structures under operationalconditions: Industrial applications", Mechanical Systems and Signal Processing, 13(2), 193-216. https://doi.org/10.1006/mssp.1998.1211
  6. Ho, B.L. and Kalman, R.E. (1966), "Effective construction of linear state-variable models from input/outputdata", Regelungstechnik, 14, 545-548.
  7. Ibrahim, S.R. (1977), "Random decremental technique for modal identification of structures", J. Spacecraft andRockets, 14(11), 696-700. https://doi.org/10.2514/3.57251
  8. Ibrahim, S.R. (1978), "Modal confidence factor in vibration testing", J. Spacecraft and Rockets, 15, 313-316. https://doi.org/10.2514/3.28014
  9. Ibrahim, S.R. and Mikulcik, E.C. (1977), "A method for the direct identification of vibration parameters from thefree response", Shock and Vibration Bulletin, No.47, Part 4, 183-198.
  10. Ibrahim, S.R. and Pappa, R.S. (1982), "Large modal survey testing using the Ibrahim time domain identificationtechnique", J. Spacecraft and Rockets, 19(5), 459-465. https://doi.org/10.2514/3.62285
  11. James III, G.H. Carne, T.G. and Lauffer, J.P. (1996), "The Natural Excitation Technique (NExT) for modal parameter extraction from operating structures", The Int. J. of Analytical and Experimental Modal Analysis,10(4), 260-277.
  12. Johnson, E.A., Lam, H.F., Katafygiotis, L.S. and Beck, J.L. (2000), "A benchmark problem for structural healthmonitoring and damage detection", Proc. of 14th ASCE Engineering Mechanics Conference (EM2000),Austin, Texas, May 21-24, 2000.
  13. Juang, J.N. and Pappa, R.S. (1985), "An eigensystem realization algorithm for modal parameter identificationand model reduction", J. Guidance, Control and Dynamics, AIAA, 8(5), 620-627. https://doi.org/10.2514/3.20031
  14. Junag, J.N. (1994), Applied System Identification, Prentice Hall, Englewood Cliffs, New Jersey, USA.
  15. Lee, J.W., Lim, J.D., Yun, C.B., Yi, J.H. and Shim, J.M. (2002), "Health monitoring method for bridges underordinary traffic loadings", J. Sound Vib., 257(2), 247-264. https://doi.org/10.1006/jsvi.2002.5056
  16. Loh, C.H., Lin, C.Y. and Huang, C.C. (2000), "Time domain identification of frames under earthquakeloadings", J. Eng. Struct., ASCE, 126(7), 693-703.
  17. Newland, D.E. (1984), An Introduction to Random Vibration and Spectral Analysis, Longman.
  18. Otte, D., Van de Ponseele, P. and Leuridan, J. (1990), "Operational shapes estimation as a function of dynamicloads", Proc. of the 8th Int. Modal Analysis Conf., 413-421.
  19. Overschee V.P. and De Moor, B. (1996), Subspace Identification for Linear Systems, Kluwer AcademicPublisher.
  20. Ventura, C.E., Prion, H.G.L., Black, C., Rezai, K.M. and Latendresse, V. (1997), "Modal properties of a steelframe used for seismic evaluation studies", 15th Int. Modal Analysis Conf., Orlando, Florida.
  21. Yam, L.H., Leung, T.P., Li, D.B. and Xue, K.Z. (1997), "Use of ambient response measurements to determinedynamic characteristics of slender structures", Eng. Struct., 19(2), 145-150. https://doi.org/10.1016/S0141-0296(96)00027-2
  22. Yang, J.C.S., Chen, J. and Dagalakis, N.G. (1984), "Damage detection in offshore structures by the randomdecremental technique", J. Energy Resources Technology, Transaction of ASME, 106, 38-42. https://doi.org/10.1115/1.3231021

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