Improvement of analytical model using uncertain test data

The localization and correction of errors in computational models are discussed. A parametric optimization technique, based on the sensitivity analysis of measured eigensolutions and with regard to stiffness and mass parameters of a finite element model, was used. Uncertain eigensolutions are considered in the localization process due to fuzziness present in the experimental data used. To manipulate the uncertainties in the localization process, a fuzzy model is introduced and discussed. A numerical example is considered to illustrate the computational approach. The impact of the uncertain eigensolutions on the localization process is assessed by comparing the present numerical results with those given by the sensitivity-based method.