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http://dx.doi.org/10.12989/sem.2004.17.3_4.445

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)
Publication Information
Structural Engineering and Mechanics / v.17, no.3_4, 2004 , pp. 445-466 More about this Journal
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
modal identification; output-only information; power spectral method; frequency domain decomposition; Ibrahim time domain; eigensystem realization algorithm; stochastic subspace identification;
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1 Bendat, J.S. and Piersol, A.G. (1993), Engineering Applications of Correlation and Spectral Analysis, JohnWiley & Sons, New York, USA.
2 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.   DOI   ScienceOn
3 Ibrahim, S.R. (1977), "Random decremental technique for modal identification of structures", J. Spacecraft andRockets, 14(11), 696-700.   DOI   ScienceOn
4 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.
5 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.
6 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.   DOI   ScienceOn
7 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.   DOI   ScienceOn
8 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.   DOI   ScienceOn
9 Overschee V.P. and De Moor, B. (1996), Subspace Identification for Linear Systems, Kluwer AcademicPublisher.
10 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.
11 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.
12 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.   DOI
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.   DOI   ScienceOn
14 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.
15 ASCE Structural Health Monitoring Committee (2000), http://wusceel.cive.wustl.edu/asce.shm/default.htm.
16 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.
17 Ewins, D.J. (1984), Modal Testing: Theory and Practice, Research Studies Press Ltd., Bruel & Kjaer.
18 Newland, D.E. (1984), An Introduction to Random Vibration and Spectral Analysis, Longman.
19 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.
20 Junag, J.N. (1994), Applied System Identification, Prentice Hall, Englewood Cliffs, New Jersey, USA.
21 Ho, B.L. and Kalman, R.E. (1966), "Effective construction of linear state-variable models from input/outputdata", Regelungstechnik, 14, 545-548.
22 Ibrahim, S.R. (1978), "Modal confidence factor in vibration testing", J. Spacecraft and Rockets, 15, 313-316.   DOI   ScienceOn