NASA SBIR 2020-I Solicitation

Proposal Summary

 20-1- A1.01-6125
 Aeroelasticity and Aeroservoelastic Control
 Decomposed Reduced-Order Modeling for Flutter and LCO Predictions in Highly Nonlinear Systems
SMALL BUSINESS CONCERN (Firm Name, Mail Address, City/State/Zip, Phone)
Corvid Technologies
153 Langtree Campus Drive
Mooresville, NC 28117
(704) 799-6944

Principal Investigator (Name, E-mail, Mail Address, City/State/Zip, Phone)

Greg McGowan
145 Overhill Drive Mooresville, NC 28117 - 8006
(704) 799-6944

Business Official (Name, E-mail, Mail Address, City/State/Zip, Phone)

Tracy Williams
145 Overhill Drive Mooresville, NC 28117 - 8006
(405) 410-6552
Estimated Technology Readiness Level (TRL) :
Begin: 1
End: 3
Technical Abstract (Limit 2000 characters, approximately 200 words)

Modeling aircraft aeroelastic response is an incredibly challenging process fraught with many questions regarding the approaches and assumptions in both structural and aerodynamic analyses.  Modeling 3-D, full scale, fully coupled, aerodynamic and structural responses with high-fidelity computational approaches is only viable for evaluating a few conditions within the flight envelope, but intractable for defining a flutter boundary over a range of flight speeds.  To alleviate these challenges researchers have developed reduced order models to facilitate the aerodynamic calculations at a fraction of the cost.  These methods are incredibly powerful, but present significant problems when attempting to apply in the case of highly nonlinear flows as they can be costly to maintain fidelity required in the modeled response.  These nonlinear flows play a critical role in the aeroelastic response and as such require that the reduced order models provide a high level of fidelity. 

The proposed research will demonstrate a framework that decomposes nonlinear aerodynamic responses, in the form of Generalized Aerodynamic Forces based upon dynamical models which are then extended to the nonlinear range based upon the concept of a Volterra series.  By decomposing the Volterra series into the linear and nonlinear parts a significant cost savings can be leveraged as the linear terms can remain fixed for a given choice of flow parameters and the Volterra series need only serve to reproduce the nonlinear response of the system.  By taking this approach to modeling the aerodynamics we hypothesize an improvement in the reduced order model’s ability to reproduce an accurate nonlinear representation of the aerodynamics at a greatly reduced cost.  This will aid in both increasing the fidelity of aeroelastic predictions and provide a valuable resource to utilize in the development of aeroservoelastic control logic.

Potential NASA Applications (Limit 1500 characters, approximately 150 words)

Applications are far reaching as all airframes require aeroelastic evaluation in the design stages to ensure safe flight. Aircraft that operate in the high-subsonic or transonic regime where complex shock structures can develop and move rapidly over the wing surfaces are also strong candidates for this modeling approach. Aircraft with structural complexity that can introduce strong aerodynamic interactions such as engine/nacelle/pylon interference or store load out may also be viable candidates for this modeling approach.

Potential Non-NASA Applications (Limit 1500 characters, approximately 150 words)

Interest in airframes from DoD may include fighter squadrons with varying store load outs. This is a challenging problem as the store loadout and positioning can produce significant aerodynamic shock interactions and other nonlinearities. There may also be opportunities in the private aircraft industry as well for aircraft designs are pushed outside the bounds that are currently well understood.

Duration: 6

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