Statistical Distributions for Acoustic Power of Broad Band Noise in Lined Ducts
Abstract
Statistical models for acoustic attenuation in non-uniform ducts with mean flow are developed. With source descriptions based on random distributions of input modal powers and modal phase, numerical experimentation has revealed that statistical metrics of lining performance can be generated. These include probability density functions for transmitted acoustic power and attenuation, expected (mean) attenuation, and standard deviation from the mean. An important result is that for a broadband source represented by many acoustic modes, the transmitted power appears to be described by a Gaussian distribution. In the present investigation it is shown that based on arguments involving the duct transmission model and the Central Limit Theorem, the Gaussian distribution of transmitted power observed by numerical experiment is expected. For all cases, including tonal noise represented with relatively few modes, it is shown that statistical characteristics can be described by common distribution functions and conclusions about mean attenuation, deviation from the mean, and confidence intervals and confidence levels are drawn. The statistical approach described has application for design of acoustic treatment in cases where knowledge of the details of the source is minimal or non-existent, such as in broadband noise.
Recommended Citation
G. Zlavog and W. Eversman, "Statistical Distributions for Acoustic Power of Broad Band Noise in Lined Ducts," AIAA/CEAS Aeroacoustics Conference, American Institute of Aeronautics and Astronautics (AIAA), May 2005.
Department(s)
Mechanical and Aerospace Engineering
Keywords and Phrases
Gaussian Distribution; Acoustic Attenuation; Acoustic Noise; Aeroacoustics; Confidence Intervals; Distribution Functions; Ducted Flow; Noise Propagation; Probability Density Functions
Document Type
Article - Conference proceedings
Document Version
Citation
File Type
text
Language(s)
English
Rights
© 2005 American Institute of Aeronautics and Astronautics (AIAA), All rights reserved.
Publication Date
01 May 2005