Application of SNGR Method to Compute Aero-Vibro-Acoustics of Heavy-Duty Rear-View Mirrors
Paper in proceeding, 2019

Flow-induced noise inside cab interior (also termed aerodynamics-induced interior noise) is nowadays perceived as a key factor when assessing the quality of heavy-duty vehicles. In order to satisfy the turnaround time required for current product development, a simplified hybrid numerical approach has been adopted. It couples the SNGR (Stochastic Noise Generation and Radiation) method with a finite element method. The SNGR approach uses RANS (Reynolds Averaged Navier Stokes) for fast CFD (Computational Fluid Dynamics) computations, and is based on a stochastic model to synthesize turbulent velocity fluctuations. These fluctuations are then used to reconstruct aeroacoustic sources based on lighthill's equation. Several rear-view mirror configurations have been chosen to validate this numerical approach. The results are in good agreement with the experiments performed on track. The numerical approach is finally demonstrated as a fast method that can be applied to assess and rank early designs in a short time for the purpose of reducing aerodynamics-induced interior noise.

turbulence

aeroacoustics

transport

cabin noise

hållbar transition

Author

Benoit Mazeaud

Volvo Group

Zenitha Chroneer

Volvo Group

Mikael Karlsson

Escenda Engineering

Huadong Yao

Chalmers, Mechanics and Maritime Sciences (M2), Fluid Dynamics

Barthélémy Petit

Free Field Technologies

Yves Detandt

Free Field Technologies

25th AIAA/CEAS Aeroacoustics Conference, 2019

AIAA 2019-2727

25th AIAA/CEAS Aeroacoustics Conference
Delft, Netherlands,

Psychoacoustics of Flow-Induced Cabin Noise

Chalmers, 2019-01-01 -- 2019-12-31.

Prediction of External Flow Acoustic Impact on In-cab Noise

VINNOVA (2014-01386), 2014-12-01 -- 2018-12-31.

Areas of Advance

Transport

Energy

Infrastructure

C3SE (Chalmers Centre for Computational Science and Engineering)

Subject Categories

Fluid Mechanics and Acoustics

DOI

10.2514/6.2019-2727

More information

Latest update

11/30/2021