  This study presents a new strategy for the identification of material
parameters in the case of restricted or redundant data, based on a hybrid
approach combining a genetic algorithm and the Levenberg-Marquardt method. The
proposed methodology consists essentially in a statistically based topological
analysis of the search domain, after this one has been reduced by the analysis
of the parameters ranges. This is used to identify the parameters of a model
representing the behavior of damaged elastic, visco-elastic, plastic and
visco-plastic composite laminates. Optimization of the experimental tests on
tubular samples leads to the selective identification of these parameters.
