Development of Wavelet Stochastic Estimation for Identifying the Contribution of Turbulent Structures to the Sound Field of Shear Flows

Award Information
Agency:
National Aeronautics and Space Administration
Branch
n/a
Amount:
$99,918.00
Award Year:
2011
Program:
SBIR
Phase:
Phase I
Contract:
NNX11CG68P
Award Id:
n/a
Agency Tracking Number:
104970
Solicitation Year:
2010
Solicitation Topic Code:
A2.03
Solicitation Number:
n/a
Small Business Information
OH, Dayton, OH, 45431-1262
Hubzone Owned:
N
Minority Owned:
N
Woman Owned:
Y
Duns:
782766831
Principal Investigator:
Sivaram Gogineni
Principal Investigator
(937) 266-9570
spgogineni@gmail.com
Business Contact:
Sivaram Gogineni
Business Official
(937) 266-9570
spgogineni@gmail.com
Research Institution:
Stub




Abstract
Fundamental understanding of noise generation and the development of noise reduction technology requires the development of tools that can analyze simultaneously the relationship between the turbulent flow field and the pressure field both near and far. In this proposal we will demonstrate how Wavelet Stochastic Estimation (WSE) is the most optimal method for correlating the source region to the sound field when using a microphone array and Particle Image Velocimetry. WSE first transforms the far-field pressure signal into the wavelet domain which then enables both temporal and frequency information to be correlated with the flow field. By adding the frequency information to the correlations, it becomes easier to extract the contribution from the large-scale structures and thus relate their dynamics to noise generation. We also demonstrate how WSE can be used with flow structure identification methods, such as the Proper Orthogonal Decomposition (POD), to further improve the link between the sound field and the turbulent flow field. The proposed technology supports the Fundamental Aeronautics Program by improving noise prediction and measurement methods. The technology will be available for both subsonic and supersonic vehicles, with particular emphasis on noise sources generated from shear flows.

* information listed above is at the time of submission.

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