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Comparison of Modeling Approaches for Full-scale Nonlinear Viscous Dampers

Viterbi School of Engineering University of Southern California Los Angeles, California 90089-2531, USA (haebum{at}usc.edu)

F. Tasbighoo

Viterbi School of Engineering University of Southern California Los Angeles, California 90089-2531, USA (haebum{at}usc.edu)

S.F. Masri

Viterbi School of Engineering University of Southern California Los Angeles, California 90089-2531, USA (haebum{at}usc.edu)

J.P. Caffrey

Viterbi School of Engineering University of Southern California Los Angeles, California 90089-2531, USA (haebum{at}usc.edu)

R.W. Wolfe

Viterbi School of Engineering University of Southern California Los Angeles, California 90089-2531, USA (haebum{at}usc.edu)

N. Makris

Dept. of Civil Engineering University of Patras GR-26500, Greece

C. Black

Dept. of Civil Engineering University of California, Berkeley, California, USA

A study is presented comparing several identification approaches, both parametric and nonparametric, for developing reduced-order nonlinear models of full-scale nonlinear viscous dampers commonly used with large flexible bridges. Such models are useful for incorporation into large-scale computational models, as well as for use as part of structural health monitoring studies based on vibration signature analysis. The paper reports the analysis results from a large collection of experimental tests on a 1112 kN (250 kip) orifice viscous damper under a wide range of frequency and amplitude oscillations. A simplified parametric design model is used in the parametric phase, as well as two different nonparametric methods: the Restoring Force Method, and artificial neural networks. The variations of model parameters with the excitation and response characteristics are investigated, and the relative accuracy and fidelity of the modeling approaches are compared and evaluated.

Key Words: Full-scale viscous damper • nonlinear system • parametric identification • non-parametric identification • structural health monitoring

Journal of Vibration and Control, Vol. 14, No. 1-2, 51-76 (2008)
DOI: 10.1177/1077546307079396


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