Article
Sound Source Identification at the Rolling Tire Using an Inverse Scheme (en)
* Presenting author
Abstract:
Noise due to tire-pavement interactions is a dominant sub-source of vehicle traffic noise. With rising numbers of electric vehicles, this sub-source will get even more important due to the electric vehicles' quieter power trains. In this contribution, we aim at identifying the dominant sound sources at the rolling tire due to the tire-pavement interaction. For this purpose, acoustic measurements were performed on Austrian highways, using a measurement trailer. This trailer is equipped with two standardized tires and a microphone array consisting of 37 microphones. For the sound source identification, a frequency-based Inverse Scheme was used, which combines microphone array measurements and Finite Element (FE) simulations. Therefore, in contrast to commonly known sound localization methods such as Beamforming, the actual boundary conditions of the given measurement setup may be fully taken into account. Further, sound sources are identified in amplitude and phase, enabling us to reconstruct the sound field around the tire with high accuracy. Sound source identification results are presented and, further, FE simulations of the sound pressure using a validated FE model of the trailer, are compared to the measurements in amplitude and phase.