PARAMETER SELECTION-STRATEGIES IN FINITE-ELEMENT MODEL UPDATING

In FE model updating, as in any identification procedure, we select so me parameters in the model, and try to fine-tune them to minimize the discrepancy between the model predictions and the measured data. The p aper compares the performance of the generic element matrices, recentl y introduced by the authors, with other selection strategies for finit e element model updating. The updated models obtained from these metho ds are compared with the measured data and rated according to their ab ility to produce the measured data within and beyond the frequency ran ge used in the updating, and more importantly, according to their abil ity to predict the effect of design changes.