Int. J. Simul. Multidisci. Des. Optim.
Volume 1, Number 1, October 2007
|Page(s)||39 - 48|
|Published online||12 December 2007|
Identification of a spatial linear model based on earthquake-induced data and genetic algorithm with parallel selection
Institute of FEMTO-ST, UMR / CNRS 6174, Dept. LMARC, 24, rue de l'Epitaphe, 25000 Besançon, France
2 Universidad de Oviedo, Departamento de Construcción e Ingeniería de Fabricación, Campus de Gijón, 33203 Gijón, Spain
Corresponding author: firstname.lastname@example.org
Accepted: 9 July 2007
This paper deals with the parametric identification of a small-scale bridge model that was intended to approximately reproduce the transversal dynamic behaviour of its corresponding prototype. This is representative of a typical multi-span continuous-deck irregular bridge. A linear model with viscous damping is proposed to reproduce its dynamic response. The identification is carried out in the time domain using experimental earthquake-induced data and assuming the mass is known. An identification procedure including a genetic algorithm with parallel selection has been developed. In the studied case, the procedure has demonstrated to be robust. It is shown that the model could be improved by using a non linear approach for the dissipative forces.
Key words: Model identification / linear model / bridge / genetic algorithms / parallel selection / signal processing
© ASMDO, EDP Sciences, 2007
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