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    A rapid distortion theory-based airfoil turbulent inflow noise prediction method

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    Artigo de Periódico
    Date
    2020
    Author
    Faria, Alexandre Martuscelli
    Saab Junior, Joseph Youssif
    Rodriguez, Sara
    Pimenta, Marcos de Mattos
    xmlui.dri2xhtml.METS-1.0.item-sponsorship
    CAPES
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    Abstract
    Turbulent inflow (TI) noise is reported as an important source of wind turbine (WT) broadband aeroacoustic noise, coexistent with many other sources (e.g., the airfoil self-noise). This manuscript intends to elucidate the discussion on TI noise by providing an alternative prediction method based on the rapidly distorted anisotropic turbulent velocity energy spectrum. A review on turbulent inflow noise prediction is presented, followed by the discussion on turbulence modeling and the derivation of a modified TI noise prediction expression, which allows a more detailed assessment of wind turbine noise sources. This can contribute for WT blade optimization, once it is implemented in design codes that consider noise as a constraint. Criteria for the turbulent velocity spectrum to be characterized by the rapid distortion theory (RDT) are established, and the validation methodology is carried through comparisons between the novel semi-empirical prediction method and data gathered from recent literature for a flat-plate airfoil with 3 % relative thickness and a NACA 0008 airfoil. The RDT-modified turbulent inflow noise prediction method shows better agreement with the measured data, when compared to predictions that adopt an isotropic model for the turbulent velocity energy spectrum, a condition only achieved in the absence of the airfoil in the test section of aeroacoustic facilities. © 2020, The Brazilian Society of Mechanical Sciences and Engineering.
    1. Airfoil noise
    2. Rapid distortion theory
    3. Turbulent inflow noise
    4. Turbulent velocity energy spectrum
    5. Wind turbine noise
    6. Acoustic noise
    7. Acoustic noise measurement
    8. Airfoils
    9. Forecasting
    10. Spectroscopy
    11. Wind turbines
    12. Aeroacoustic noise
    13. Noise prediction methods
    14. Prediction methods
    15. Relative thickness
    16. Turbulent velocity
    17. Validation methodologies
    18. Aeroacoustics
    URI
    https://www.scopus.com/inward/record.uri?eid=2-s2.0-85087507555&doi=10.1007%2fs40430-020-02468-2&partnerID=40&md5=38d03b2f459a2e9b95d2255cb794b77d
    https://repositorio.maua.br/handle/MAUA/1358
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