Int. J. Numer. Anal. Mod., 4 (2007), pp. 392-401.


Numerical optimization of radiated engine noise with uncertain wavenumbers

Yanzhao Cao 1, M. Y. Hussaini 2, Hongtao Yang 3

1 Department of Mathematics, Florida A & M University, Tallahassee, FL32307, USA
2 School of Computational Science Florida State University, Tallahassee, FL32306, USA
3 Department of Mathematics, University of Louisiana at Lafayette, LA 70504, USA

Received by the editors February 22, 2006

Abstract

In this paper, we investigate an efficient numerical method to identify an optimal impedance factor for mitigating radiated engine noise. The engine tone-noise wavenumber is treated as a random variable. We prove the existence of the sensitivity derivative of the state variable (which is the acoustic pressure) with respect to the random wavenumber. The proposed numerical method is based on the stratified Monte Carlo algorithm whose convergence is accelerated by exploiting the sensitivity derivative information.

AMS subject classifications: 49J20, 58E25, 65K10, 65M60
Key words: optimal control; liner impedance factor; random wavenumber; finite element

Email: Yanzhao.cao@famu.edu (Y. Cao), myh@cespr.fsu.edu (M. Y. Hussaini), hyang@louisiana.edu (H. Yang)
 

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