Construction of Large and Accurate Energy-based Vibroacoustic Models using Vibrational Intensity Approach Combined to Virtual SEA Analysis

Broadband frequency energy-based industrial predictive methods are mostly related to Statistical Energy Analysis (SEA). Despite well-proven efficiency in predicting acoustic environment in trimmed vehicles, SEA applied to the prediction of vibratory transfers in large systems (buildings, cruise ships and aircrafts) shows inherent drawbacks related to too coarse assumptions in deriving the relevant SEA parameters required by the modelling. Using diffuse intensity in place of energy as unknowns, is shown to relax the most constraining SEA assumptions and allows energy-based models to be better conditioned for large size (i.e. large number of subsystems). This methodology combined with the Virtual SEA method for smooth description of local heterogeneity, expands the range of applications of current energy-based methods to large and complex industrial systems as well as the frequency bandwidth of model validity while simplifying model construction.