TECHNICAL PAPERS
Nov 1, 1989

Adaptive Modeling, Identification, and Control of Dynamic Structural Systems. II: Applications

Publication: Journal of Engineering Mechanics
Volume 115, Issue 11

Abstract

Recently developed adaptive methods for modeling, identification, and control are now being successfully used in various branches of science and engineering. These methods present significant advantages over the classical methods, e.g., they can remove the noise from the signal over the whole frequency band, they can track time‐varying characteristics of systems, and they make it possible to control unknown systems. In this paper, five examples for the application of adaptive modeling, identification, and control techniques in structural dynamics are presented. The examples are as follows: (1) Identification of a time‐varying simulated system; (2) identification of a building with soil‐structure interaction by using earthquake vibration recordings; (3) identification of a building with nonlinear vibrations by using earthquake vibration recordings; (4) adaptive control of a simulated system; and (5) adaptive control of ambient vibrations of a building. Prior to examples, methods for preprocessing the data are outlined. The paper is the second of two companion papers. The theory pertinent to examples is given in the first paper.

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References

1.
Bongiovanni, G., Çelebi, M., and Şafak, E. (1987). “Seismic rocking response of a triangular building founded on sand.” Earthquake Spectra, 3(4), 793–810.
2.
Çelebi, M. (1987). “Topographical and geological amplification determined from strong‐motion and aftershock records of the 3 March 1985 Chile Earthquake.” Bull., Seismol. Soc. Am., 77, 1147–1167.
3.
Rojahn, C., and Mork, P. N. (1982). “An analysis of strong‐motion data from a severely damaged structure: The Imperial County Services Building, El Centro, California.” U.S. Geological Survey Professional Paper, 1254, 357–375.
4.
Şafak, E. (1988a). “Stochastic system identification in structural dynamics.” Probabilistic Methods in Civil Engineering. P. D. Spanos, ed., ASCE, New York, N.Y., 269–272.
5.
Şafak, E. (1988b). “Analysis of recordings in structural engineering: Adaptive filtering, prediction, and control.” Open‐File Report 88‐647, U.S. Geological Survey, Menlo Park, Calif.
6.
Şafak, E. (1989a). “Optimal‐adaptive filters for modeling spectral shape, site amplification, and source scaling.” Soil Dynamics and Earthquake Engrg., 8(2).
7.
Şafak, E. (1989b). “Adaptive modeling, identification, and control of dynamic structural systems: I. Theory.” J. Engrg. Mech., ASCE, 115(11) 2386–2405.
8.
“Significant building records obtained by the California strong motion instrumentation program.” (1987). CDMG Report, California Div. of Mines and Geology (CDMG), Sacramento, Calif.

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Go to Journal of Engineering Mechanics
Journal of Engineering Mechanics
Volume 115Issue 11November 1989
Pages: 2406 - 2426

History

Published online: Nov 1, 1989
Published in print: Nov 1989

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Authors

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Erdal Şafak, Associate Member, ASCE
Res. Struct. Ener., U.S. Geol. Survey, Menlo Park, CA 94025

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