Aero-Acoustic-Structural Optimization Analysis and Testing

Award Information
Agency:
National Aeronautics and Space Administration
Branch
n/a
Amount:
$99,647.00
Award Year:
2007
Program:
STTR
Phase:
Phase I
Contract:
NNX07CA42P
Agency Tracking Number:
060505
Solicitation Year:
2006
Solicitation Topic Code:
T2.01
Solicitation Number:
n/a
Small Business Information
2020 Company, LLC
3110 Fairview Park Dr., Suite 950, Falls Church, VA, 22030-4548
Hubzone Owned:
N
Socially and Economically Disadvantaged:
Y
Woman Owned:
N
Duns:
169810657
Principal Investigator:
C. Lawson
Principal Investigator
(256) 726-4858
Clawson@2020llc.com
Business Contact:
Paresh Ghelani
Business Official
(312) 404-7900
pghelani@2020llc.com
Research Institution:
North Carolina Agricultural and Technical State University
Not Available
1601 E. Market Street, Fort IRC Building
Greensboro, NC, 27411
(336) 334-7995
Domestic nonprofit research organization
Abstract
This proposal effort is concerned with the development of a novel multidisciplinary optimization scheme and computer software for the effective design of advanced aerospace vehicles. Such vehicles are characterized by unprecedented levels of aero-structural-controls-propulsion interactions, a multidisciplinary simulation is essential for their effective design, vehicle can be accomplished by employing the common finite element method for the structures and also FE/FV fluids and propulsion simulations. A typical multidisciplinary optimization scheme will involve structural design for minimum weight with aerodynamic data such as drag and wing platform as design variable, subject to constraints like flutter and structural strength. Much emphasis is placed on the choice and calculation of suitable gradient of objective function as well as the contraints to guarantee global optimal solution. A number of novel numerical scheme will also be developed for efficient, cost effective solution of large complex 3-D practical problems such as current and future flight vehicles. In Phase I, the basic numerical schemes for the optimum design will be established along with a pilot code to verify these techniques. Based on our finding in Phase I, a complete software will be developed and checked out for the simulation of complex practical problems in Phase II.

* information listed above is at the time of submission.

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