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In order to effectively use CAE to meet wind noise NVH targets, it is important to understand the main wind noise transfer paths. Testing confirmation of these paths by means of acoustic wind tunnel test is expensive and not always available. An on-road test procedure including a “windowing” method (using barriers) was developed to measure wind noise contribution at important higher frequencies through the main transfer paths, which were shown by test to be the glasses at a typical operating condition in which wind noise was dominant. The test data was used to correlate a full-vehicle SEA (Statistical Energy Analysis) model that placed emphasis on the glass properties, main noise transfer paths, and interior acoustic spaces while simplifying all other transmission paths. A method for generating wind noise loads was developed using measured glass vibration data, exterior pressure data, and interior acoustic data.

Airborne sound transmission through vehicle panels with penetrations and sound insulation is a major component of high frequency interior noise in cars and trucks. Accurate analytical models of interior noise require high fidelity simulation of these paths in order to perform upfront design of the sound package. This paper describes a modeling approach based on Statistical Energy Analysis (SEA) that provides a general and flexible capability for incorporating sound package parameters within an analytical model of high frequency interior noise. Validation of the model for sound transmission through panels with holes and with typical sound insulation material is achieved through innovative testing methods that reveal dynamics of the decoupler and barrier layers. Refinements of the general approach that consider more deterministic features of the specific decoupler material are also suggested.