Document Int. J. Simul. Multidisci. Des. Optim. 1, 39-48 (2007)
DOI: 10.1051/ijsmdo:2007005
Identification of a spatial linear model based on earthquake-induced data and genetic algorithm with parallel selection
David Hicham Bassir1, José Luis Zapico2, María Placeres González2 and Rodolfo Alonso21 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
(Received 6 May 2007; accepted 9 July 2007; published online12 December 2007)
Abstract
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
Correspondence: david.bassir@utbm.fr
© ASMDO, EDP Sciences 2007