Numerical prediction methods for the assessment of aerodynamic sound generation on high speed trains
Résumé
Numerical models are developed to predict the sound generated by various aeroacoustic sources encountered on high-speed trains. These models use statistical information about the flow field obtained from a k-ε code (STAR-CD) and are validated by experimental data. Classical aeroacoustic analogies are applied to free stream turbulence whereas specific models are adapted to geometrical singularities such as steps or blunt trailing edges. Measurements of the acoustic far field and sources localizations compare favorably with the computations.
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