Substructure Identification for Shear Structures with Nonstationary Structural Responses
Publication: Journal of Engineering Mechanics
Volume 139, Issue 12
Abstract
In previous studies by the authors, a substructure identification method for shear structures was proposed to identify all structural story stiffness and damping parameters from top to bottom inductively. In the method derivation, the structural responses were required to be wide sense stationary to convert structural dynamic equations to differential equations in the correlation functions of structural responses, which are used to formulate substructure identifications. In this paper, this method is extended to accommodate nonstationary structural responses. A different derivation procedure is adopted to formulate substructure identifications directly from the Fourier transform of the structural dynamic equations, resulting in a formulation nearly the same as its stationary response predecessor. An identification error analysis for the substructure identification method reveals how structural responses affect the identification accuracy. On the basis of this result, a smart reference selection rule is proposed to choose the best reference response candidate, needed for forming the substructure identifications, to improve the identification accuracy. A 10-story shear building structure is used to illustrate the effectiveness of the substructure identification method with two kinds of nonstationary excitations: a long nonstationary response and a group of short earthquake excitations. The simulation results show that this substructure identification method provides very accurate identification results even with very large measurement noise and nonstationary responses.
Get full access to this article
View all available purchase options and get full access to this article.
Acknowledgments
The authors gratefully acknowledge the partial support of this work by the National Science Foundation through CAREER Award No. CMS 00-94030 and through Award Nos. ANI 03-25875 and CMMI 08-26634. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the authors and do not necessarily reflect the views of the National Science Foundation.
References
Amin, M., and Ang, A. H. S. (1968). “Nonstationary stochastic model of earthquake motions.” J. Engrg. Mech. Div., 94(2), 559–583.
Bendat, J. S., and Piersol, A. G. (2000). Random data: Analysis and measurement procedures, Wiley, New York.
Caicedo, J. M., Dyke, S. J., and Johnson, E. A. (2004). “Natural excitation technique and Eigensystem realization algorithm for phase I of the IASC-ASCE benchmark problem: Simulated data.” J. Eng. Mech., 130(1), 49–60.
De Callafon, R. A., Moaveni, B., Conte, J. P., He, X., and Udd, E. (2008). “General realization algorithm for modal identification of linear dynamic systems.” J. Eng. Mech., 134(9), 712–722.
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.” Rep. No. LA-13070-MS, Los Alamos National Laboratory, Los Alamos, NM.
Goller, B., Beck, J. L., and Schuëller, G. I. (2012). “Evidence-based identification of weighting factors in Bayesian model updating using modal data.” J. Eng. Mech., 138(5), 430–440.
Hayes, M. H. (1996). Statistical digital signal processing and modeling, Wiley, New York.
Hou, J., Jankowski, Ł., and Ou, J. (2011). “A substructure isolation method for local structural health monitoring.” Struct. Contr. Health Monit., 18(6), 601–608.
Huang, C. S., and Yeh, C. H. (1999). “Some properties of Randomdec signatures.” Mech. Syst. Signal Process., 13(3), 491–507.
James, G. H., Garne, T. G., and Lauffer, J. P. (1993). “The natural excitation technique for modal parameter extraction from operating wind turbine.” Rep. No. SAND92-1666, UC-261, Sandia National Laboratories, Albuquerque, NM.
Koh, C. G., See, L. M., and Balendra, T. (1991). “Estimation of structural parameters in time domain–A substructure approach.” Earthq. Eng. Struct. Dynam., 20(8), 787–801.
Koh, C. G., and Shankar, K. (2003). “Substructural identification method without interface measurement.” J. Eng. Mech., 129(7), 769–776.
Li, H., and Ding, H. (2010). “Reduction-based model updating of a scaled offshore platform structure.” J. Eng. Mech., 136(2), 131–142.
Rens, K. L., Wipf, T. J., and Klaiber, F. W. (1997). “Review of nondestructive evaluation techniques of civil infrastructure.” J. Perform. Constr. Facil., 11(4), 152–160.
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.” Rep. No. LA-13976-MS, Los Alamos National Laboratory, Los Alamos, NM.
Tee, K. F., Koh, C. G., and Quek, S. T. (2005). “Substructural first- and second-order model identification for structural damage assessment.” Earthq. Eng. Struct. Dynam., 34(15), 1755–1775.
Welch, P. (1967). “The use of fast Fourier transform for the estimation of power spectra: A method based on time averaging over short, modified periodograms.” IEEE Trans. Audio Electroacoust., 15(2), 70–73.
Yuen, K. V. (2010). “Efficient model correction method with modal measurement.” J. Eng. Mech., 136(1), 91–99.
Yuen, K. V., and Katafygiotis, L. S. (2002). “Bayesian modal updating using complete input and incomplete response noisy measurements.” J. Eng. Mech., 128(3), 340–350.
Yuen, K. V., and Katafygiotis, L. S. (2006). “Substructure identification and health monitoring using noisy response measurements only.” Comput. Aided Civil Infrastruct. Eng., 21(4), 280–291.
Yun, C. B., and Lee, H. J. (1997). “Substructural identification for damage estimation of structures.” Struct. Safety, 19(1), 121–140.
Zhang, D.-Y. (2010). “Controlled substructure identification for shear structures.” Ph.D. dissertation, Univ. of Southern California, Los Angeles.
Zhang, D.-Y., and Johnson, E. A. (2006). “Controlled substructure identification method for shear type structure.” Proc., 4th World Conf. on Structural Control and Monitoring, IASCM, Los Angeles.
Zhang, D.-Y., and Johnson, E. A. (2012). “Substructure identification for shear structures: Cross power spectral density method.” Smart Mater. Struct., 21(5), 055006.
Zhang, D.-Y., and Johnson, E. A. (2013). “Substructure identification for shear structures I: Substructure identification method.” Struct. Contr. Health Monit., 20(5), 804–820.
Information & Authors
Information
Published In
Copyright
© 2013 American Society of Civil Engineers.
History
Received: Jul 17, 2012
Accepted: Mar 13, 2013
Published online: Mar 15, 2013
Published in print: Dec 1, 2013
Authors
Metrics & Citations
Metrics
Citations
Download citation
If you have the appropriate software installed, you can download article citation data to the citation manager of your choice. Simply select your manager software from the list below and click Download.