A Rapid Aeroelastic/Aeroservoelastic Modeling, Analysis and Optimization System for Advanced Flight Vehicles

Award Information
Agency:
National Aeronautics and Space Administration
Branch
n/a
Amount:
$100,000.00
Award Year:
2006
Program:
STTR
Phase:
Phase I
Contract:
NND06AA34C
Award Id:
80749
Agency Tracking Number:
050113
Solicitation Year:
n/a
Solicitation Topic Code:
n/a
Solicitation Number:
n/a
Small Business Information
4030 Lake Washington Blvd NE, Suite 205, Kirkland, WA, 98033
Hubzone Owned:
N
Minority Owned:
N
Woman Owned:
N
Duns:
883221723
Principal Investigator:
Robert Stirling
Principal Investigator
() -
rstirling@stirling-dynamics.com
Business Contact:
Dennis Messenger
Vice President
(425) 827-7476
dmessenger@stirling-dynamics.com
Research Institute:
University of Washington
Dave Erikson
P.O. Box 352400
Seattle, WA, 98195
(206) 543-1950
Nonprofit college or university
Abstract
Stirling Dynamics Inc and the University of Washington propose to develop a MATLAB toolbox for rapid aeroelastic (AE) and aeroservoelastic (ASE) modeling, analysis and optimization of flight vehicles. In practically all current aeroelastic analysis/optimization codes, model generation takes a considerable amount of effort, as does the processing of results. The proposed AE/ASE toolbox will provide user-friendly, mostly GUI-driven capabilities for rapid pre- and post-processing that will considerably decrease model generation effort and analysis/sensitivity cycle time compared to currently available tools. ASE toolbox users will have access to customizable databases containing organizational knowledge and standards for flight vehicle material properties, construction details, actuator/sensor models, airfoil shapes, etc. Model construction will be fully automated, eliminating time-consuming manual pre-processing. A full-range of ASE analyses and design sensitivities will be available within the MATLAB/Simulink environment. Utilities will be developed for importing and exporting computational model data (FEM, CFD, DLM, etc.) and results to and from the major commercial analysis codes. Key innovations include: 1) rapid model development, analysis, and optimization; 2) integration with the widespread and highly accessible MATLAB/Simulink computational environment; and 3) connectivity from MATLAB to more general purpose codes such as NASTRAN for higher fidelity follow-on ana

* information listed above is at the time of submission.

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