Research Article Open Access

Aerodynamic Noise Prediction Using stochastic Turbulence Modeling

Arash Ahmadzadegan1 and Mehran Tadjfar1
  • 1 ,
American Journal of Applied Sciences
Volume 5 No. 9, 2008, 1233-1238

DOI: https://doi.org/10.3844/ajassp.2008.1233.1238

Submitted On: 25 November 2007 Published On: 30 September 2008

How to Cite: Ahmadzadegan, A. & Tadjfar, M. (2008). Aerodynamic Noise Prediction Using stochastic Turbulence Modeling . American Journal of Applied Sciences, 5(9), 1233-1238. https://doi.org/10.3844/ajassp.2008.1233.1238

Abstract

Amongst many approaches to determine the sound propagated from turbulent flows, hybrid methods, in which the turbulent noise source field is computed or modeled separately from the far field calculation, are frequently used. For basic estimation of sound propagation, less computationally intensive methods can be developed using stochastic models of the turbulent fluctuations (turbulent noise source field). A simple and easy to use stochastic model for generating turbulent velocity fluctuations called continuous filter white noise (CFWN) model was used. This method based on the use of classical Langevian-equation to model the details of fluctuating field superimposed on averaged computed quantities. The resulting sound field due to the generated unsteady flow field was evaluated using Lighthill's acoustic analogy. Volume integral method used for evaluating the acoustic analogy. This formulation presents an advantage, as it confers the possibility to determine separately the contribution of the different integral terms and also integration regions to the radiated acoustic pressure. Our results validated by comparing the directivity and the overall sound pressure level (OSPL) magnitudes with the available experimental results. Numerical results showed reasonable agreement with the experiments, both in maximum directivity and magnitude of the OSPL. This method presents a very suitable tool for the noise calculation of different engineering problems in early stages of the design process where rough estimates using cheaper methods are needed for different geometries.

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Keywords

  • Computational Aeroacoustics
  • Lighthill's Volume Integral
  • Hybrid Method
  • Jet Acoustics