Dynamic modeling and identification of the Uniovi structure

• Main Authors: Zapico-Valle José Luis, García-Diéguez Marta
• Format: Article
• Language: English
• Published: EDP Sciences 2014-01-01
• Series: International Journal for Simulation and Multidisciplinary Design Optimization
• Subjects: nonlinear model; nonlinear modal identification; softening stiffness
• Online Access: https://www.ijsmdo.org/articles/smdo/full_html/2014/01/smdo130009/smdo130009.html

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.