Improvement of analytical model using uncertain test data

The localization and correction of errors in computational models are discu ssed. A parametric optimization technique, based on the sensitivity analysi s of measured eigensolutions and with regard to stiffness and mass paramete rs of a finite element model, was used. Uncertain eigensolutions are consid ered in the localization process due to fuzziness present in the experiment al data used. To manipulate the uncertainties in the localization process, a fuzzy model is introduced and discussed. A numerical example is considere d to illustrate the computational approach. The impact of the uncertain eig ensolutions on the localization process is assessed by comparing the presen t numerical results with those given by the sensitivity-based method.