Experimental study of wall pressure fluctuations in rigid and elastic pipes behind an axisymmetric narrowing

Borisyuk, A. O.

doi:10.1016/j.jfluidstructs.2010.03.005

Cited by 26 publications

(22 citation statements)

References 21 publications

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“…In addition, LES predicted the occurrence of vortical structures including small and large eddies. [51]. The velocity range in the figure is from 1.00 to the maximum instantaneous velocity of 5.41 m.s -1 to help show the flow in the core of as well as the rest of the flow domain.…”

Section: Mesh Configurationmentioning

confidence: 99%

Verification of Turbulence Models for Flow in a Constricted Pipe at Low Reynolds Number

Khalili

Gamage

Mansy

2018

Proceeding of 3rd Thermal and Fluids Engineering Conference (TFEC)

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Computational fluid dynamics (CFD) is a useful tool for prediction of turbulence in aerodynamic and biomedical applications. The choice of appropriate turbulence models is key to reaching accurate predictions. The present investigation concentrated on the comparison of different turbulence models for predicting the flow field downstream of a constricted pipe. This geometry is relevant to arterial stenosis in patients with vascular diseases. More specifically, the results of Unsteady Reynolds-Averaged Navier-Stokes (URANS) and scale resolving simulation (SRS) turbulence models such as Large Eddy Simulation (LES) and Detached Eddy Simulation (DES) were compared with experimental measurements. Comparisons included the mean flow and fluctuations downstream of the constriction. Results showed that the LES model was in better agreement with the velocity measurements performed using a Laser Doppler Anemometry (LDA). In addition, although URANS models predicted a wake region size and mean flow velocities comparable to SRS turbulence models, no small-scale vortical structures can be observed in the URANS solution due to the nature of these models. Modeling of these structures would, however, be helpful when more detailed flow behavior is needed such as in studies of acoustic sources. Hence, LES would be an optimal turbulence model for the flow under consideration, especially when sound generation would be of interest.

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Section: Mesh Configurationmentioning

confidence: 99%

Verification of Turbulence Models for Flow in a Constricted Pipe at Low Reynolds Number

Khalili

Gamage

Mansy

2018

Proceeding of 3rd Thermal and Fluids Engineering Conference (TFEC)

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“…This paper presents experimental studies of cavitation noise, its spectrum, specific conditions and method of reduction without affecting on flow conditions. Similar publications can be found where authors describe flow noise emitted from pipes during turbulent conditions and pressure fluctuations [10][11][12][13][14][15][16][17]. More acoustical measurements are performed in publications [18][19][20], where cavitation noise is considered.…”

Section: Introductionmentioning

confidence: 86%

Reduction of acoustic cavitation noise emission with textile materials

Nering

2018

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This article presents an examination of the acoustic noise level reduction in piping applications. Hydraulic cavitation is the source of the noise. In order to determine the noise level drop for the insulating material arranged around the pipe-cylindrical geometry-the acoustic spectrum was measured in the range of audible frequencies. Measurements were made for textile materials stacked with varying amounts of layers around the source of noise. There was a decrease in the noise level characteristics for mass law. An empirical formula describing the relative noise reduction for the materials under study was proposed.

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“…In contrast, at higher frequencies the energy in the flow decreases and this corresponds to the smallest eddies in the flow. These smallest eddies are in the process of decay where kinetic energy is being converted into thermal energy through the action of viscous shear [78].…”

Section: Figure 431: Pressure Fluctuation (Log Scale) -Acrylic Pipementioning

confidence: 99%

In-Situ Modal Response Characterization of Pipe Structures Through Reynolds Number Variation

Chen

Hugo

Park

2018

Volume 3: Operations, Monitoring, and Maintenance; Materials and Joining

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The modal response characterization of structures is a proven and reliable technique used to monitor system behavior and change, providing information for condition assessment and damage identification. In traditional modal response characterization procedures, an external mass excitation source is used to excite the system, and this is modeled as an impact function. This provides system forcing across a broad range of frequencies. In this investigation, an in-situ method of system excitation is explored. The modal characteristics of externally-supported pipe structures are investigated by varying the flow Reynolds number (Red). Given the increase in flow turbulence with Reynolds number, hydrodynamic pressure fluctuations on the pipe wall provide a varying excitation source. This removes the requirement for an external excitation source. A comparative analysis of data sets collected for both Acrylic and ABS pipe material show similar pressure spectra, while vibration spectra change significantly. Pressure spectra reveal a character whereby the spectral energy increases with increasing Reynolds number. A comparison of in-situ results to those obtained using traditional impact response tests show that vibration spectra collected through Reynolds number variation successfully capture the modal characteristics of the pipe-structure.

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Experimental study of wall pressure fluctuations in rigid and elastic pipes behind an axisymmetric narrowing

Cited by 26 publications

References 21 publications

Verification of Turbulence Models for Flow in a Constricted Pipe at Low Reynolds Number

Verification of Turbulence Models for Flow in a Constricted Pipe at Low Reynolds Number

Reduction of acoustic cavitation noise emission with textile materials

In-Situ Modal Response Characterization of Pipe Structures Through Reynolds Number Variation

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