Stochastic Optimization of Aeroelastic Response (SOAR)

Award Information
Agency:
National Aeronautics and Space Administration
Branch
n/a
Amount:
$100,000.00
Award Year:
2003
Program:
STTR
Phase:
Phase I
Contract:
NAS4-03016
Agency Tracking Number:
020070
Solicitation Year:
n/a
Solicitation Topic Code:
n/a
Solicitation Number:
n/a
Small Business Information
Mechanical Solutions Inc
1719 Route 10 East, Suite 205, Parsippany, NJ, 07054
Hubzone Owned:
N
Minority Owned:
N
Woman Owned:
N
Duns:
n/a
Principal Investigator:
Sherif Aly
(973) 329-9920
Sherif.Aly@mechsol.com
Business Contact:
William Marscher
President
(973) 326-9920
wdm@mechsol.com
Research Institution:
Rutgers University
William Marscher
98 Brett Rd
Piscataway, NJ, 08854
(973) 329-9920
Nonprofit college or university
Abstract
Modern airfoil design evaluation requires accurate analysis of both structural dynamic as well as fluid oscillatory response. The level of calculation reliability has, in principle, increased significantly, so that now the opportunity exists to optimize aeroelastic behavior in the design stage. This is made possible by new high fidelity structural and CFD tools which predict airfoil steady and transient aero loading, as well as stress and vibrational behavior. However, while single runs of the applicable COTS codes can be parallel-processed reasonably quickly, computational time becomes pacing in airfoil development due to the many iterations that must be performed in order to optimize lift/weight ratios, while ensuring that aeroelastic flutter is avoided. Automated Multi-Disciplinary Optimization (MDO) computer algorithms can address this analysis bottleneck, but attempts to date have had only limited success, due to problems with slow convergence and local minima. MSI will locate the true minimum of the multi-disciplinary objective function through a unique optimization approach making appropriate use of stochastic methods. The technique accounts for design constraints, such as component thicknesses and aspect ratios, for airfoils that are practical and cost-effective. Using MSI?s Stochastic Optimization of Airfoil Response (SOAR) methodology, time-savings of several-fold are expected in airfoil design optimization.

* information listed above is at the time of submission.

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