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Aeroelastic Uncertainty Analysis Toolbox

Award Information

Agency:
National Aeronautics and Space Administration
Branch:
N/A
Award ID:
88101
Program Year/Program:
2009 / SBIR
Agency Tracking Number:
075316
Solicitation Year:
N/A
Solicitation Topic Code:
N/A
Solicitation Number:
N/A
Small Business Information
Systems Technology, Inc.
13766 S. Hawthorne Blvd. Hawthorne, CA -
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Woman-Owned: No
Minority-Owned: No
HUBZone-Owned: No
 
Phase 2
Fiscal Year: 2009
Title: Aeroelastic Uncertainty Analysis Toolbox
Agency: NASA
Contract: NNX09CB51C
Award Amount: $599,973.00
 

Abstract:

Flutter is a potentially explosive phenomenon that results from the simultaneous interaction of aerodynamic, structural, and inertial forces. The nature of flutter mandates that flight testing be cautious and conservative. In addition to the flutter instability, adverse aeroelastic phenomena include limit cycle oscillations, buffeting, buzz, and undesirable gust response. The analytical prediction of aeroelastic phenomena in the transonic regime has historically been troublesome and requires high fidelity simulation models to obtain accurate predictions. The models are, however, computationally expensive. Traditional uncertainty analysis is therefore not often applied to flutter prediction. The proposed work is to develop computationally efficient methods that reduce the existing computational time limitations of traditional uncertainty analysis. Building upon the successful Phase I demonstration, the coupling of Design of Experiments and Response Surface Methods and the application of robust stability techniques, namely ýýýý-analysis, will be combined into a comprehensive software toolbox: STI-Aeroservoelastic Robustness Toolbox. STI-ART will have the flexibility to use computational unsteady aerodynamic and structural finite element models from a variety of sources, ranging from simple potential flow models (e.g., doublet lattice methods) and linear structural models to solutions based on modeling of the full Navier Stokes equations and non-linear structural models with many elements.

Principal Investigator:

David H Klyde Systems Technology, Inc.
Principal Investigator
3106792281
dklyde@systemstech.com

Business Contact:

Suzie Fosmore
Business Official
3106792281
suzie@systemstech.com
Small Business Information at Submission:

Systems Technology, Inc.
13766 South Hawthorne Blvd. Hawthorne, CA 90250

EIN/Tax ID: 951957989
DUNS: N/A
Number of Employees:
Woman-Owned: No
Minority-Owned: No
HUBZone-Owned: No