Deterministic and Statistical Characterization of the Impact of Control Surface Freeplay on Flutter and Limit -Cycle Oscillation (LCO) using Efficient

Award Information
Agency:
Department of Defense
Branch
Navy
Amount:
$70,000.00
Award Year:
2010
Program:
STTR
Phase:
Phase I
Contract:
N68335-10-C-0411
Agency Tracking Number:
N10A-003-0328
Solicitation Year:
n/a
Solicitation Topic Code:
NAVY 10T003
Solicitation Number:
n/a
Small Business Information
Advanced Dynamics, Inc.
1500 Bull Lea Road, Suite 203, Lexington, KY, 40511
Hubzone Owned:
N
Socially and Economically Disadvantaged:
N
Woman Owned:
N
Duns:
790637867
Principal Investigator:
Patrick Hu
President
(859) 699-0441
patrick.g.hu@advanceddynamics-usa.com
Business Contact:
Patrick Hu
President
(859) 699-0441
patrick.g.hu@advanceddynamics-usa.com
Research Institution:
University of Oklahoma
Peter Attar
865 Asp Ave.
Felgar Hall Room 212
Norman, OK, 73019
(405) 325-1749
Nonprofit college or university
Abstract
Research is proposed for the development and implementation of state of the art computational and experimental tools for the investigation of the impact of control surface freeplay on the flutter and limit cycle oscillation characteristics of two-dimensional and three-dimensional wings in subsonic and transonic flow. Highly efficient and accurate aeroelastic simulation tools will be constructed based upon the following novel concepts 1) reduced order in time models based upon the mathematical formalism of optimal prediction theory 2) high-fidelity aeroelastic simulation based upon the coupling of a particle-method based CFD method to a nonlinear finite element structural dynamics solver and 3) reduced order in spatial models based upon proper orthogonal decomposition (POD) and Volterra theory. In addition, the proposed work will include the use of computational uncertainty quantification which will address, using a probabilistic approach, questions pertaining to the sensitivity of flutter and limit cycle oscillation with respect to possibly uncertain model input parameters such as the amount of freeplay and the freeplay stiffness. Legacy wind tunnel data along with new tests for the transonic regime will be used to validate and improve the computational models and to provide further insight into the complex phenomena of freeplay-induced flutter and limit cycle oscillations.

* information listed above is at the time of submission.

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