1983
DOI: 10.2514/3.8105
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Wall pressure fluctuations in attached boundary-layer flow

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Cited by 79 publications
(22 citation statements)
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“…This value, albeit lower than Kistler and Chan's 14 value, is in good agreement with that found by Speaker and Ailman, 15 Chyu and Hanly, 16 Coe, 6 and Laganelli et al 17 As reported in previous studies, 8 the probability density distribution of p w ' is essentially Gaussian, with skewness and flatness factors of 0.05 and 3.05, respectively. Figure 2 shows the space-time correlation of the fluctuating wall pressure R pp (^760,0,7) in the incoming boundary layer.…”
Section: Incoming Turbulent Boundary Layersupporting
confidence: 92%
“…This value, albeit lower than Kistler and Chan's 14 value, is in good agreement with that found by Speaker and Ailman, 15 Chyu and Hanly, 16 Coe, 6 and Laganelli et al 17 As reported in previous studies, 8 the probability density distribution of p w ' is essentially Gaussian, with skewness and flatness factors of 0.05 and 3.05, respectively. Figure 2 shows the space-time correlation of the fluctuating wall pressure R pp (^760,0,7) in the incoming boundary layer.…”
Section: Incoming Turbulent Boundary Layersupporting
confidence: 92%
“…Some correlations exist for the magnitude of transitional and turbulent pressure fluctuations, but these were derived primarily using either incompressible data or conventional (noisy flow) hypersonic wind-tunnel tests. 1 Such modeling efforts have not led to sufficient physical understanding of the transitional pressure fluctuations or to adequate predictive capabilities. Modern computational capabilities seem likely to enable higher-fidelity models in the future.…”
Section: Introductionmentioning
confidence: 99%
“…Large scatter in the data was observed, which was mainly attributed to limitations in the frequency response of pressure sensors and led those authors to shed doubts on the reliability of many semi-empirical engineering models developed for the prediction of the wall pressure fluctuations, [17][18][19] which rely heavily on the accuracy of experimental measurements. By merging signals from multiple sensors, Beresh et al 16 measured frequency spectra of the wall pressure, which were corrected for spatial attenuation at high frequencies and for wind-tunnel noise and vibrations at low frequencies.…”
mentioning
confidence: 95%