Stochastic Optimization of Aeroelastic Response (SOAR)

Award Information
Agency: National Aeronautics and Space Administration
Branch: N/A
Contract: NAS4-03016
Agency Tracking Number: 020070
Amount: $100,000.00
Phase: Phase I
Program: STTR
Awards Year: 2003
Solicitation Year: N/A
Solicitation Topic Code: N/A
Solicitation Number: N/A
Small Business Information
1719 Route 10 East, Suite 205, Parsippany, NJ, 07054
HUBZone Owned: N
Woman Owned: N
Socially and Economically Disadvantaged: N
Principal Investigator
 Sherif Aly
 (973) 329-9920
Business Contact
 William Marscher
Title: President
Phone: (973) 326-9920
Research Institution
 Rutgers University
 William Marscher
 98 Brett Rd
Piscataway, NJ, 08854
 (973) 329-9920
 Nonprofit college or university
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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