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Stochastic Optimization of Aeroelastic Response (SOAR)

Award Information

National Aeronautics and Space Administration
Award ID:
Program Year/Program:
2003 / STTR
Agency Tracking Number:
Solicitation Year:
Solicitation Topic Code:
Solicitation Number:
Small Business Information
Mechanical Solutions, Inc.
11 Apollo Drive Whippany, NJ 07981-
View profile »
Woman-Owned: No
Minority-Owned: No
HUBZone-Owned: No
Phase 1
Fiscal Year: 2003
Title: Stochastic Optimization of Aeroelastic Response (SOAR)
Agency: NASA
Contract: NAS4-03016
Award Amount: $100,000.00


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.

Principal Investigator:

Sherif Aly

Business Contact:

William D. Marscher
Small Business Information at Submission:

Mechanical Solutions Inc
1719 Route 10 East, Suite 205 Parsippany, NJ 07054

EIN/Tax ID: 223476647
Number of Employees:
Woman-Owned: No
Minority-Owned: No
HUBZone-Owned: No
Research Institution Information:
Rutgers University
98 Brett Rd
Piscataway, NJ 08854
Contact: William Marscher
Contact Phone: (973) 329-9920
RI Type: Nonprofit college or university