Virtual SEA - FEA-Based Modeling of Mid-Frequency Structure-Borne Noise

Abstract

Virtual SEA (statistical energy analysis) is similar to experimental SEA, but based on frequency response functions computed using a FE model of the studied structure. The knowledge of the internal loss factors (defined by the user) as well as numerous observation and excitation points leads to a consistent data set that may be used to properly identify a SEA model. This process has been improved by developing an original automatic sub-structuring technique that guarantees optimized model construction and consequently a robust identification. This last feature supports SEA users with a lower level of expertise. As an example, virtual SEA is applied to the floor of a minivan. Convincing results are obtained when compared to experimental methods.