An automated technique for improving model matrices by means of experimentally obtained dynamic data

Model optimization stands for all techniques using experimental modal parameters to modify an existing analytical model in order to improve the correlation bet\:een analytical and measured eigenvectors and eigenvalues. An iterative technique is proposed which combines theadvantages of the methods based upon orthogonality c onditions and those based upon the use of sensitivity values. In this method, a first modification of mass, stiffness and damping matrices is performed based upon the o rthogonality of the measured modes with respect to the analytical