Abstract
A number of practical issues must be considered when conducting system identification of civil engineering structures when using output-only data sets. In this study, system identification methods in the time- and frequency-domain are considered: stochastic subspace identification (SSI) and frequency domain decomposition (FDD), respectively. In order to evaluate these two output-only analyses, support-excited frame structures are selected as a common civil engineering structure of interest (e.g., building structures exposed to seismic loads). Due to the absence of a direct means of mathematically evaluating the results of the output-only analyses, this study proposes an indirect method of comparison. Specifically, an input-output system identification study is first conducted by the subspace system identification method to estimate a full set of state-space model system matrices. Then, time-domain comparisons between the predicted and measured responses are conducted. Next, conversion of the input-output model to modal space is executed to allow a direct comparison between modal parameters extracted from the two output-only models can be made. Detailed experimental testing using a steel frame structure exposed to seismic ground motion is conducted to allow the accuracy of the two output-only analyses to be evaluated.
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Reference
Ibrahim, S.R. and S.R. Pappa, Large Modal Survey Testing Using the Ibrahim Time Domain Identification Technique. Journal of Spacecraft and Rockets, 1982. 19(5): p. 459-465.
James, J.H., T.G. Carne, and J.P. Lauffer, The Natural Excitation Technique (NExT) for Modal Parameter Extraction from Operating Structures. The International Journal of Analytical and Experimental Modal Analysis, 1996. 10(4): p. 260-277.
Shih, C.Y., Y.G. Tsuei, R.J. Allemang, and D.L. Brown, Complex Mode Indication Function and its Applications to Spatial domain Parameter Estimation. Mechanical Systems and Signal Processing, 1988. 2(4): p. 367-377.
Brinker, R., L. Zhang, and P. Andersen, Modal Identification of Output-only Systems Using Frequency Domain Decomposition. Smart Materials and Structures, 2001. 10(3): p. 441-445.
Ljung, L., System identification: Theory for the User. 1999, Upper Saddle River, NJ: Prentice Hall.
Larimore, W.E. Canonical Variate Analysis in Identification, Filtering, and Adaptive Control. in 29th Conference on Decision and Control. 1990. Honolulu, HI.
Verhaegen, M., Identification of the Deterministic Part of MIMO State Space Models Given in Innovations form from Input-output Data. Automatica, 1994. 30(1): p. 61-74.
Van Overschee, P. and B. De Moor, N4SID: Subsapce Algorithms for the Identification of Combined Deterministic-Stochastic Systems. Automatica, 1994. 30(1): p. 75-93.
Peeters, B. and G.D. Roeck, Reference-based Stochastic Subspace Identification for Output-only Modal Analysis. Mechanical Systems and Signal Processing, 1999. 13(6): p. 855-878.
Peeters, B. and C.E. Ventura, Comparative Study of Modal Analysis Techniques for Bridge Dynamic Characterizes. Mechanical Systems and Signal Processing, 2003. 17(5): p. 965-988.
Oppenhiem, A.V. and R.W. Schafer, Discrete-time Signal Processing. 1999, Upper Saddle River, NJ: Prentice-Hall Inc.
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Kim, J., Lynch, J.P. (2011). Comparison Study of Output-only Subspace and Frequency-Domain Methods for System Identification of Base Excited Civil Engineering Structures. In: Proulx, T. (eds) Civil Engineering Topics, Volume 4. Conference Proceedings of the Society for Experimental Mechanics Series. Springer, New York, NY. https://doi.org/10.1007/978-1-4419-9316-8_28
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DOI: https://doi.org/10.1007/978-1-4419-9316-8_28
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