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Stochastic Optimization of Aeroelastic Response (SOAR)

Award Information

National Aeronautics and Space Administration
Award ID:
Program Year/Program:
2004 / 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 2
Fiscal Year: 2004
Title: Stochastic Optimization of Aeroelastic Response (SOAR)
Agency: NASA
Contract: NND04AB83C
Award Amount: $499,999.00


Using MSI?s Stochastic Optimization of Aeroelastic Response (SOAR) framework, time-savings of several-fold can be achieved during the airframe conceptual design stage. The availability of fast and inexpensive computers along with higher-fidelity design models has provided the opportunity to optimize aeroelastic behavior and consider uncertainty during the conceptual design phase. However, computational time becomes prohibitive in conceptual airframe development due to the many iterations that must be performed to optimize weight and/or lift/drag ratios, while ensuring that aeroelastic flutter is avoided, particularly when uncertainty effects are included. Automated Multi-Disciplinary Optimization (MDO) programs have attempted to address this shortcoming, but recent attempts have had only limited success, due to problems with slow convergence and local minima and due to the computational expense of performing uncertainty analysis. To provide a step improvement, MSI is developing an automated, robust and reliable multidisciplinary optimization method which uses a stochastic approach to avoid local minima, and a compromise response surface method to determine system performance and constraint probability density functions due to both controllable (design variables, operating conditions) and uncontrollable (material defects, wind gusts) random effects. The new SOAR framework combines uncertainty analysis with optimization techniques to obtain an integrated and powerful approach to optimal design.

Principal Investigator:

William Marscher
Principal Investigator

Business Contact:

William D. Marscher
Small Business Information at Submission:

Mechanical Solutions, Inc.
1719 Route 10 East, Suite 305 Parsippany, NJ 07054

EIN/Tax ID: 223476647
Number of Employees:
Woman-Owned: No
Minority-Owned: No
HUBZone-Owned: No
Research Institution Information:
Penn State University
101 Hammond Bldg
University Park, PA 16802
Contact: Madara Ogot
Contact Phone: (814) 865-3272
RI Type: Nonprofit college or university