Int. J. Simul. Multisci. Des. Optim.
Volume 5, 2014
|Number of page(s)||6|
|Published online||06 February 2014|
Dynamic modeling and identification of the Uniovi structure
Department of Construction and Engineering Manufacturing, University of Oviedo, Campus de Gijón 7.1.16, 33203
* e-mail: email@example.com
Accepted: 13 November 2013
The nonlinear modeling and identification of a four-storey steel frame is presented in this paper. The bending modes of the frame were experimentally isolated by a single-point mono-harmonic excitation and used for identification purposes. A novel expeditious procedure was developed to infer the kind of nonlinearities present in the structure. This turned out to be the most critical task in the modeling process. The proposed nonlinear model was calibrated in the time domain by fitting the model-predicted responses to the experiments. This was posed as the minimization of an error function by means of a new adaptive stochastic algorithm. Results were excellent. The calibrated nonlinear model yield fitting errors near three orders of magnitude lower than those of a pure linear model.
Key words: Nonlinear model / Nonlinear modal identification / Softening stiffness
© J.L. Zapico-Valle, M. García-Diéguez, Published by EDP Sciences, 2014
This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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