Vehicle Interior Noise Prediction Using Energy Finite Element Analysis

Award Information
Agency: National Aeronautics and Space Administration
Branch: N/A
Contract: NNL05AA24C
Agency Tracking Number: 033685
Amount: $598,182.00
Phase: Phase II
Program: SBIR
Awards Year: 2005
Solicitation Year: 2003
Solicitation Topic Code: A2.04
Solicitation Number: N/A
Small Business Information
1796 Stonebridge Drive North, Ann Arbor, MI, 48108-8593
DUNS: 136770703
HUBZone Owned: N
Woman Owned: N
Socially and Economically Disadvantaged: N
Principal Investigator
 Satha Raveendra
 Principal Investigator
 (734) 998-0126
Business Contact
 Satha Raveendra
Title: President
Phone: (734) 998-0126
Research Institution
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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