The different sound packages surrounding the interior cavity have a significant contribution to the interior noise performance of a car. The design of the trim for the highfrequency range is well established. However, its design for the mid-frequency range (100-1000 Hz) is more difficult, because of the complex inputs involved, the lack of representative performance metrics and the high computational cost of the simulations. In order to make early decisions for trim design, performance maps, describing the performance metrics of a silencer against the different design variables, are desired for the mid-frequency range.A framework has been developed to retrieve those maps from an exploration of designs: it constructs those maps based on a surrogate model built on a Gaussian process regression. This surrogate model is iteratively enriched with new designs to increase the accuracy of that model. Each new design consists of a finite element simulation of a sound package in mid-frequencies. In order to gain computation time, it is sped up using a reduced order model which is iteratively improved, until a convergence is achieved on all the metrics of interest.This paper first summarizes the main aspects of this framework. In a second part, it presents an application of that framework on two typical automotive trim cases under a structure-borne excitation. Both material and geometrical parameters are considered to build performance maps in the mid-frequency range.
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- An exploration study of automotive sound package performance in the mid-frequency range
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