CHINESE JOURNAL OF COMPUTATIONAL PHYSICS ›› 2013, Vol. 30 ›› Issue (1): 98-104.

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Automobile Wind Noise Prediction Using Stochastic Method

CEHN Rongqian, WU Yizhao, XIA Jian   

  1. School of Aerospace Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China
  • Received:2012-03-12 Revised:2012-08-05 Online:2013-01-25 Published:2013-01-25

Abstract: A stochastic method is used to predict wind noise of a simplified automobile head shape. In the method, computational region is divided into two parts: One is source region, and the other is propagation region. In the source region, turbulent fluctuation velocities are synthesized with a stochastic model. In the propagation region, linearized Euler equations with source terms are solved and sound waves spread out. Compared with direct simulation method, the method has advantage of less computational cost and memory. Numerical simulations agree well with experimental data. It is shown that the method is feasible for automobile wind noise prediction, It laid a foundation for actual automobile shape wind noise prediction.

Key words: computational fluid dynamics, computational aeroacoustics, stochastic model, linearized Euler equations, automobile wind noise

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