Vehicle Interior Noise Prediction Using Energy Finite Element Analysis

Award Information
Agency:
National Aeronautics and Space Administration
Branch
n/a
Amount:
$598,181.00
Award Year:
2005
Program:
SBIR
Phase:
Phase II
Contract:
NNL05AA24C
Award Id:
67294
Agency Tracking Number:
033685
Solicitation Year:
n/a
Solicitation Topic Code:
n/a
Solicitation Number:
n/a
Small Business Information
1796 Stonebridge Drive North, Ann Arbor, MI, 48108
Hubzone Owned:
N
Minority Owned:
N
Woman Owned:
N
Duns:
136770703
Principal Investigator:
SathaRaveendra
Principal Investigator
(734) 998-0126
raveendra@sbcglobal.net
Business Contact:
SathaRaveendra
President
(734) 998-0126
raveendra@sbcglobal.net
Research Institute:
n/a
Abstract
It is proposed to develop and implement a computational technique based on Energy Finite Element Analysis (EFEA) for interior noise prediction of advanced aerospace vehicles that will expand NASA's noise prediction capability at the early stage of design process. In many situations, aerospace structures are subjected to high frequency mechanical and/or acoustic excitations. Presently, noise performances of these products are determined experimentally, which is not feasible at the early design stage or by using computational simulation technique based on Statistical Energy Analysis (SEA). SEA requires high level of analyst expertise and in some instances, testing of the product's components. An alternative computational simulation technique for high frequency vibration and noise prediction based on EFEA conceptually offers several unique features. EFEA can predict the spatial variation of the energy in structures and the acoustic cavities. Local power input and damping treatments can also be modeled in EFEA. More importantly, EFEA is based on extensively used and comprehensively developed finite element method. The use of finite element method for both low and high frequency noise and vibration problems will provide the users a unified framework for the resolution of problems where the frequency spans a wide range.

* information listed above is at the time of submission.

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