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STRUCTURE GENERATED NOISE MODELING, USING FINITE ELEMENT ANALYSIS (FEA)…

Award Information

Agency:
Department of Defense 		Branch:
Army 		Award ID:
18434 		Program Year/Program:
1994 / SBIR
Agency Tracking Number:
18434 		Solicitation Year:
N/A 		Solicitation Topic Code:
N/A 		Solicitation Number:
N/A
Small Business Information
Automated Analysis Corp.
2805 South Industrial Hwy Suite 100 Ann Arbor, MI 00000
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Woman-Owned: No
Minority-Owned: No
HUBZone-Owned: No
 
Phase 2
Fiscal Year: 1994
Title: STRUCTURE GENERATED NOISE MODELING, USING FINITE ELEMENT ANALYSIS (FEA) TECHNIQUES
Agency / Branch: DOD / ARMY
Contract: N/A
Award Amount: $250,000.00
 

Abstract:

THERE IS AN INCREASED EMPHASIS ON THE ACOUSTIC SIGNATURES OF GROUND COMBAT VEHICLES DUE TO THE DEVELOPMENT OF NEW AND EFFECTIVE ACOUSTIC TARGET ACQUISITION SYSTEMS. DURING THE DESIGN STAGE OF A GROUND COMBAT VEHICLE, IT IS IMPORTANT TO REDUCE THE NOISE, EMITTED FROM STRUCTURAL COMPONENTS. THEREFORE, THE DEVELOPMENT OF ACOUSTIC PREDICTION SOFTWARE IS ESSENTIAL. WITHIN THIS PROJECT, THEORETICAL TECHNIQUES FOR ACOUSTIC PREDICTION AND ACOUSTIC SENSITIVITIES WILL BE DEVELOPED, AND IMPLEMENTED INTO ACOUSTIC SOFTWARE. THE SOFTWARE WILL BE VERIFIED BY COMPARING RESULTS TO ANALYTICALLY AVAILABLE EXACT SOLUTIONS AND TEST DATA. THE DEVELOPED SOFTWARE WILL BE CAPABLE OF ACCEPTING INFORMATION FROM CURRENT FINITE ELEMENT ANALYSIS MODELS WITH A KNOWN INPUPT FORCING FUNCTION. IT WILL USE THIS INFORMATION TO ACCURATELY PREDICT THE NOISE RADIATED FROM THE VIBRATING STRUCTURE. THE COMPUTER CODE WILL BE A VALUABLE TOOL IN DESIGNING STRUCTURAL COMPONENTS WITH IMPROVED NOISE CHARACTERISTICS, BECAUSE IT WILL ELIMINATE THE REQUIREMENT TO ACTUALLY TEST THE STRUCTURE, IN ORDER TO FIND THE EFFECT OF THE MODIFICATIONS IN THE EMITTED NOISE. IT IS ANTICIPATED THAT THE ABILITY TO STUDY MANY ALTERNATIVE DESIGNS QUICKLY AND ECONOMICALLY CAN LEAD TO SIGNIFICANT NOISE REDUCTION.

Principal Investigator:

Dr. Nickolas Vlahopoulos
3139731000

Business Contact:

Small Business Information at Submission:

Automated Analysis Corp
2805 S. Industrial, Suite 100 Ann Arbor, MI 48104

EIN/Tax ID:
DUNS: N/A
Number of Employees:
Woman-Owned: No
Minority-Owned: No
HUBZone-Owned: No