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directionality of noise created by turbulent flow over roughness

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Date Issued:
2011
Summary:
Flow over a rough surface is known to radiate sound as a dipole source that is directional. In order to better understand this source, measurements are being made in a wind tunnel using a microphone array. The measurements collected by a microphone array are beamformed to give a source image and can be deconvolved with an assumed point spread function in order to obtain the source levels. This thesis considers alternative analysis algorithms that can be used to analyze wind tunnel data. Only numerical examples of how these algorithms work will be presented and the analysis of real data will be considered in later studies. It will be shown how estimates can be made of the source directivity by comparing the measured data with a theoretical source model and minimizing the error between the model and the measurements.
Title: The directionality of noise created by turbulent flow over roughness.
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Name(s): Kaufman, Gerard P.
College of Engineering and Computer Science
Department of Ocean and Mechanical Engineering
Type of Resource: text
Genre: Electronic Thesis Or Dissertation
Date Issued: 2011
Publisher: Florida Atlantic University
Physical Form: electronic
Extent: xi, 48 p. : ill. (some col.)
Language(s): English
Summary: Flow over a rough surface is known to radiate sound as a dipole source that is directional. In order to better understand this source, measurements are being made in a wind tunnel using a microphone array. The measurements collected by a microphone array are beamformed to give a source image and can be deconvolved with an assumed point spread function in order to obtain the source levels. This thesis considers alternative analysis algorithms that can be used to analyze wind tunnel data. Only numerical examples of how these algorithms work will be presented and the analysis of real data will be considered in later studies. It will be shown how estimates can be made of the source directivity by comparing the measured data with a theoretical source model and minimizing the error between the model and the measurements.
Identifier: 729882845 (oclc), 3171394 (digitool), FADT3171394 (IID), fau:3635 (fedora)
Note(s): by Gerard P. Kaufman.
Thesis (M.S.C.S.)--Florida Atlantic University, 2011.
Includes bibliography.
Electronic reproduction. Boca Raton, Fla., 2011. Mode of access: World Wide Web.
Subject(s): Electromagnetic fields
Signal processing -- Digital techniques
Noise control
Adaptive signal processing
Acoustic emission -- Measurement
Persistent Link to This Record: http://purl.flvc.org/FAU/3171394
Use and Reproduction: http://rightsstatements.org/vocab/InC/1.0/
Host Institution: FAU