Abstract
The analysis of the dynamic behavior of a structural–acoustic system across a broad frequency range presents a number of challenges to an analyst. For a typical structural–acoustic system it is quite common to find that the modal density varies significantly between the various subsystems, across the frequency range of interest. The vast number of modes in the system as a whole can render a detailed deterministic analysis impractical, while the low modal density of certain subsystems is problematic for statistical energy analysis. One approach to the problem is to construct a hybrid model that combines deterministic and statistical descriptions of the system dynamics. One of the key requirements of the hybrid approach is an accurate estimate of the spatial coupling that occurs between the deterministic and statistical (or fuzzy) parts of the model. This paper discusses recent work which has investigated both a spatial correlation approach to calculating this coupling and also an asymptotic modal approach. The relative merits of the different approaches are discussed and a number of numerical examples are presented.
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