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Framework for wind noise studies
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Image of FIG. 1.
FIG. 1.

Wind velocity magnitude power spectral density in wave number along flow direction for (a) run 14 and (b) run 15. Dotted lines are power law fits to the data in the range .

Image of FIG. 2.
FIG. 2.

Wind velocity power spectral density for the wind component in the direction of flow for (a) run 14 and (b) run 15. Dotted lines are power law fits to the data in the range .

Image of FIG. 3.
FIG. 3.

Prediction lines and power spectral densities of pressure fluctuations in wave number for (a) run 14 and (b) run 15. Data lines are labeled A–D while theory lines are labeled 1–6 and are as follows: Data: A, bare B&K microphone; B, shields sensor; C, microphone in windscreen; D, Shields sensor in fiberglass windscreen. Predictions: (1) Three-dimensional stagnation pressures [Eq. (44)]; (2) One dimensional stagnation pressures [Eq. (27)]; (3) Batchelor turbulence-turbulence interaction [Eq. (19)]; (4) LES turbulence-turbulence interaction [Eq. (23)]; (5) Self-noise for windscreen [Eq. (45)]; (6) Self-noise for fiberglass windscreen [Eq. (45)].

Image of FIG. 4.
FIG. 4.

Magnitude of the (solid line) and (dotted line) terms in the three-dimensional stagnation pressure calculation [Eq. (44)].

Image of FIG. 5.
FIG. 5.

Plotted versus dimensionless frequency (cf. Sec. IV) are the wind noise reduction of the windscreen referenced to the fit of the one-dimensional stagnation pressure calculation (dotted line), and the wind noise reduction to a bare microphone from Ref. 8 (connected triangles).


Generic image for table

A listing of the values used in the calculation of the fit lines in Figs. 3(a) and 3(b).


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752b84549af89a08dbdd7fdb8b9568b5 journal.articlezxybnytfddd
Scitation: Framework for wind noise studies