Aeroelastic Uncertainty Analysis Toolbox

Award Information
Agency:
National Aeronautics and Space Administration
Branch
n/a
Amount:
$599,973.00
Award Year:
2009
Program:
SBIR
Phase:
Phase II
Contract:
NNX09CB51C
Agency Tracking Number:
075316
Solicitation Year:
2007
Solicitation Topic Code:
A2.04
Solicitation Number:
n/a
Small Business Information
Systems Technology, Inc.
13766 South Hawthorne Blvd., Hawthorne, CA, 90250-7083
Hubzone Owned:
N
Socially and Economically Disadvantaged:
N
Woman Owned:
N
Duns:
02828
Principal Investigator:
David Klyde
Principal Investigator
(310) 679-2281
dklyde@systemstech.com
Business Contact:
Suzie Fosmore
Business Official
(310) 679-2281
suzie@systemstech.com
Research Institution:
n/a
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 ƒÝ-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.

* information listed above is at the time of submission.

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