Low‐wave‐number turbulent boundary layer wall pressure measurements from vibration data on a cylinder in pipe flow

2007 ◽  
Vol 121 (5) ◽  
pp. 3096-3096
Author(s):  
William K. Bonness ◽  
Dean E. Capone
Keyword(s):  
Boundary Layer ◽  
Turbulent Boundary Layer ◽  
Pipe Flow ◽  
Wall Pressure ◽  
Wave Number ◽  
Pressure Measurements ◽  
Vibration Data

Low‐wavenumber turbulent boundary layer wall‐pressure measurements from vibration data on smooth and rough cylinders in pipe flow.

2011 ◽  
Vol 129 (4) ◽  
pp. 2387-2387
Author(s):  
Neal D. Evans ◽  
Dean E. Capone ◽  
William K. Bonness
Keyword(s):  
Boundary Layer ◽  
Turbulent Boundary Layer ◽  
Pipe Flow ◽  
Wall Pressure ◽  
Pressure Measurements ◽  
Vibration Data

Low-wavenumber turbulent boundary layer wall-pressure measurements from vibration data on a cylinder in pipe flow

2010 ◽  
Vol 329 (20) ◽  
pp. 4166-4180 ◽  
Author(s):  
William K. Bonness ◽  
Dean E. Capone ◽  
Stephen A. Hambric
Keyword(s):  
Boundary Layer ◽  
Turbulent Boundary Layer ◽  
Pipe Flow ◽  
Wall Pressure ◽  
Pressure Measurements ◽  
Vibration Data

Low-wavenumber turbulent boundary layer wall-pressure measurements from vibration data over smooth and rough surfaces in pipe flow

2013 ◽  
Vol 332 (14) ◽  
pp. 3463-3473 ◽  
Author(s):  
Neal D. Evans ◽  
Dean E. Capone ◽  
William K. Bonness
Keyword(s):  
Boundary Layer ◽  
Turbulent Boundary Layer ◽  
Pipe Flow ◽  
Rough Surfaces ◽  
Wall Pressure ◽  
Pressure Measurements ◽  
Vibration Data

Well Resolved Wall Pressure Measurements in a High Reynolds Number Turbulent Boundary Layer

2004 ◽  
Author(s):  
Brendan F. Perkins
Keyword(s):  
Boundary Layer ◽  
Reynolds Number ◽  
Turbulent Boundary Layer ◽  
Surface Pressure ◽  
High Reynolds Number ◽  
Wall Pressure ◽  
Pressure Measurements ◽  
Boundary Layer Turbulence ◽  
High Reynolds ◽  
Salt Playa

In order to better understand boundary layer turbulence at high Reynolds number, the fluctuating wall pressure was measured within the turbulent boundary layer that forms over the salt playa of Utah’s west desert. Pressure measurements simultaneously acquired from an array of nine microphones were analyzed and interpreted. The wall pressure intensity was computed and compared with low Reynolds number data. This analysis indicated that the variance in wall pressure increases logarithmically with Reynolds number. Computed autocorrelations provide evidence for a hierarchy of surface pressure producing scales. Space-time correlations are used to compute broadband convection velocities. The convection velocity data indicate an increasing value for larger sensor separations. To the author’s knowledge, the pressure measurements are the highest Reynolds number, well resolved measurements of fluctuating surface pressure to date.

Physics of unsteady blunt-fin-induced shock wave/turbulent boundary layer interactions

1994 ◽  
Vol 273 ◽  
pp. 375-409 ◽  
Author(s):  
Leon Brusniak ◽  
David S. Dolling
Keyword(s):  
Boundary Layer ◽  
Turbulent Boundary Layer ◽  
Time History ◽  
Separated Flow ◽  
Flow Region ◽  
Horseshoe Vortex ◽  
Wall Pressure ◽  
Pressure Measurements ◽  
Separation Shock ◽  
Pressure Distributions

Fluctuating wall-pressure measurements have been made on the centreline upstream of a blunt fin in a Mach 5 turbulent boundary layer. By examining the ensemble-averaged wall-pressure distributions for different separation shock foot positions, it has been shown that local fluctuating wall-pressure measurements are due to a distinct pressure distribution, [weierp ]i, which undergoes a stretching and flattening effect as its upstream boundary translates aperiodically between the upstream-influence and separation lines. The locations of the maxima and minima in the wall-pressure standard deviation can be accurately predicted using this distribution, providing quantitative confirmation of the model. This model also explains the observed cross-correlations and ensemble-average measurements within the interaction. Using the [weierp ]i model, wall-pressure signals from under the separated flow region were used to reproduce the position–time history of the separation shock foot. The unsteady behaviour of the primary horseshoe vortex and its relation to the unsteady separation shock is also described. The practical implications are that it may be possible to predict some of the unsteady aspects of the flowfield using mean wall-pressure distributions obtained from either computations or experiments; also, to minimize the fluctuating loads caused by the unsteadiness, flow control methods should focus on reducing the magnitude of the [weierp ]i gradient (∂[weierp ]i/∂x).

scholarly journals Selection of a Suitable Wall Pressure Spectrum Model for Estimating Flow-Induced Noise in Sonar Applications

1995 ◽  
Vol 2 (5) ◽  
pp. 403-412 ◽  
Author(s):  
V. Bhujanga Rao
Keyword(s):  
Boundary Layer ◽  
Turbulent Boundary Layer ◽  
High Speed ◽  
Acoustic Radiation ◽  
Pressure Fluctuations ◽  
Theoretical Data ◽  
Wall Pressure ◽  
Wave Number ◽  
Wall Structure ◽  
Structural Noise

Flow-induced structural noise of a sonar dome in which the sonar transducer is housed, constitutes a major source of self-noise above a certain speed of the vessel. Excitation of the sonar dome structure by random pressure fluctuations in turbulent boundary layer flow leads to acoustic radiation into the interior of the dome. This acoustic radiation is termed flow-induced structural noise. Such noise contributes significantly to sonar self-noise of submerged vessels cruising at high speed and plays an important role in surface ships, torpedos, and towed sonars as well. Various turbulent boundary layer wall pressure models published were analyzed and the most suitable analytical model for the sonar dome application selected while taking into account high frequency, fluid loading, low wave number contribution, and pressure gradient effects. These investigations included type of coupling that exists between turbulent boundary layer pressure fluctuations and dome wall structure of a typical sonar dome. Comparison of theoretical data with measured data onboard a ship are also reported.

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