• Title of article

    Aerodynamic Noise Prediction Using stochastic Turbulence Modeling

  • Author/Authors

    Arash Ahmadzadegan، نويسنده , , Mehran Tadjfar، نويسنده ,

  • Issue Information
    روزنامه با شماره پیاپی سال 2008
  • Pages
    6
  • From page
    1233
  • To page
    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 Lighthillʹs 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.
  • Keywords
    Jet Acoustics , Computational Aeroacoustics , Lighthillיs Volume Integral , Hybrid method
  • Journal title
    American Journal of Applied Sciences
  • Serial Year
    2008
  • Journal title
    American Journal of Applied Sciences
  • Record number

    688471