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contributor authorB. M. Abraham
contributor authorW. L. Keith
date accessioned2017-05-08T23:53:53Z
date available2017-05-08T23:53:53Z
date copyrightJune, 1997
date issued1997
identifier issn0098-2202
identifier otherJFEGA4-27118#281_1.pdf
identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/118921
description abstractA method for conditionally sampling the spatial field of the wall pressure beneath a turbulent boundary layer in order to search for high magnitude events and calculate the corresponding wavenumber spectrum is presented. The high magnitude events are found using a simple peak detection algorithm at a fixed instant in time and the wavenumber spectra are calculated using discrete Fourier transforms. The frequency of occurrence for high magnitude positive events is found to be approximately the same as for high magnitude negative events. The contribution of the high magnitude events to the rms wall pressure for various trigger levels is calculated and compared with results from similar experimental studies performed in the time domain. The high magnitude events are shown to occur infrequently and to contribute significantly to the rms wall pressure. Wavenumber spectra from the high magnitude positive and negative events are calculated and compared with the unconditionally sampled spectra. The high magnitude events contain energy focused around a particular stream-wise wavenumber and have high broadband spectral levels.
publisherThe American Society of Mechanical Engineers (ASME)
titleWavenumber Spectra of High Magnitude Wall Pressure Events in a Numerically Simulated Turbulent Boundary Layer
typeJournal Paper
journal volume119
journal issue2
journal titleJournal of Fluids Engineering
identifier doi10.1115/1.2819132
journal fristpage281
journal lastpage288
identifier eissn1528-901X
keywordsPressure
keywordsSpectra (Spectroscopy)
keywordsBoundary layer turbulence
keywordsFourier transforms
keywordsSampling (Acoustical engineering) AND Algorithms
treeJournal of Fluids Engineering:;1997:;volume( 119 ):;issue: 002
contenttypeFulltext


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