Model correlation and identification of experimental reduced models in vibroacoustical modal analysis

An important issue in vibroacoustics is the topic of verification and validation of models for design. This paper addresses several points in this context: model correlation, optimal test design and identification of reduced models. Model correlation criteria like modal assurance criteria (MAC) are widely used in structural dynamics in order to check the spatial coincidence between two sets of vectors. This concept is extended here to vibroacoustic couplings, together with optimal test design strategies: on the basis of a given model, they allow finding of the best sensors and actuator placements for the modal analysis. Finally, the last part of the paper proposes a methodology allowing identification of experimental reduced models from the knowledge of the complex modes issued from the vibroacoustical modal analysis. Both numerical and experimental results are used to check the efficiency of the procedure.