Article

Sound source identification for tire-pavement interaction (en)

Authors

* Presenting author
Day / Time: 07.03.2023, 15:40-16:20
Room: Foyer Z, Posterinsel I
Typ: Poster
Session: Akustische Messtechnik und Sensorik (Posterinsel I)
Information: Die Poster werden durchgängig von Dienstag bis Donnerstag im Foyer auf Ebene Z ausgestellt (3.OG vor dem Plenarsaal Z), sortiert nach thematischen Zusammenhängen in der hier angegebenen Posterinsel (siehe Sitzungstitel). Das Posterforum zur angegebenen Zeit bietet die Möglichkeit, mit den Autor*innen in Diskussion zu kommen.
Abstract: The traffic noise of passenger vehicles is dominated by tire-pavement interactions in the speed range of approximately 50 km/h to 130 km/h. The tire-pavement noise becomes even more relevant with increasing numbers of electric cars due to the absence of combustion engines. Therefore, we aim to identify the dominant sound sources at the rolling tire with different sound source localization algorithms. One of these algorithms is a new Inverse Scheme, which combines microphone array measurements and solving the acoustic wave equation in the frequency domain using the Finite Element Method (FEM). It solves the inverse problem of reconstructing sound sources within a given source domain from microphone array measurements. This new method allows us to take boundary conditions of the given measurement setup, for example partially reflecting obstacles and acoustic absorbers, into account. This contribution briefly presents the Inverse Scheme, the necessary steps to apply it in practice, and sound source identification results of a rolling tire. Further, the Inverse Scheme's sound source identification results are compared to those of commonly known Beamforming algorithms. The measurement data was acquired with a measurement trailer for tire/road noise on Austrian roads.
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