2013
DOI: 10.1016/j.jsv.2013.01.028
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Low-wavenumber turbulent boundary layer wall-pressure measurements from vibration data over smooth and rough surfaces in pipe flow

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Cited by 10 publications
(4 citation statements)
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“…A second reason, why the Chase spectrum is decreasing quickly, is because the wall pressure spectrum follows a quadratic scaling, in agreement with the Kraichnan-Philips theorem. Experimentally however, a wavenumber-white spectrum is found (Evans et al, 2013), in agreement with the current computational results. This part of the spectrum might be caused by the coupling of pressure and wall shear stress spectrum (Chase, 1993).…”
Section: Power Spectral Densitysupporting
confidence: 90%
See 1 more Smart Citation
“…A second reason, why the Chase spectrum is decreasing quickly, is because the wall pressure spectrum follows a quadratic scaling, in agreement with the Kraichnan-Philips theorem. Experimentally however, a wavenumber-white spectrum is found (Evans et al, 2013), in agreement with the current computational results. This part of the spectrum might be caused by the coupling of pressure and wall shear stress spectrum (Chase, 1993).…”
Section: Power Spectral Densitysupporting
confidence: 90%
“…Furthermore, if measurements of the pressure spectra are necessary, it might often be easier to measure the vibration amplitude instead. Low-wavenumber spectra are for example determined by an inverse procedure in which the excitation field is computed from the actual vibration of a long structure (Evans et al, 2013;Bonness et al, 2010).…”
Section: Introductionmentioning
confidence: 99%
“…Martin and Leehey (1977) implemented this inverse method with a rectangular membrane. Then Bonness et al (2010) and Evans et al (2013) used an aluminum cylindrical pipe excited by a water flow. Their measurements suggest that the low-wavenumber region of the WPF spectrum, between the acoustic and convective regions, is wavenumber-white, with a constant level for the normalized cross-spectrum.…”
Section: Introductionmentioning
confidence: 99%
“…The squared magnitude of the spatial Fourier transform of the mode shape function of a structure is usually called the wavenumber sensitivity function or wavenumber filter shape function, and is often used to calculate the coupling between exciting pressure fields and mode shapes for rectangular panels [1][2][3][4] and cylinders, 5,6 both under fluctuating wall pressure excitations. It can be also used to calculate the radiation efficiency of rectangular panels in the wavenumber domain.…”
Section: Introductionmentioning
confidence: 99%