SBIR-STTR Award

Towards Better Modeling and Simulation of Nonlinear Aeroelasticity on and Beyond Transonic Regimes
Award last edited on: 1/13/2015

Sponsored Program
SBIR
Awarding Agency
NASA : LaRC
Total Award Amount
$99,577
Award Phase
1
Solicitation Topic Code
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Principal Investigator
Patrick G Hu

Company Information

Advanced Dynamics Inc

1500 Bull Lea Road Suite 203
Lexington, KY 40511
Location: Multiple
Congr. District: 06
County: Fayette

Phase I

Contract Number: ----------
Start Date: ----    Completed: ----
Phase I year
2011
Phase I Amount
$99,577
The need to accurately predict aeroelastic phenomenon for a wide range of Mach numbers is a critical step in the design process of any aerospace vehicle. Complex aerodynamic phenomenon such as vortex shedding, shock-turbulence interaction, separation, etc. dominate at transonic and supersonic Mach numbers and hence the need to address these phenomena is of utmost importance in the modeling process. Research is proposed for the development and implementation of state of the art, large-eddy-simulation (LES) based computational models for problems in nonlinear aeroelasticity. Highly efficient and accurate subgrid-scale (SGS) models will be incorporated into the flow solver and coupled with high fidelity structure solvers to predict aeroelastic phenomena such as transonic flutter, limit cycle oscillations, etc. The SGS models proposed are based on eddy-viscosity and non-eddy-viscosity models and they will both be assessed for accuracy and robustness in the context of nonlinear aeroelasticity. The implications of the proposed work include using highly accurate turbulence models with efficient finite element models of structure to solve problems in nonlinear aeroelasticity. The application of the proposed innovations spans the range of flight, from subsonic to supersonic transport vehicles. Anticipated results include 1) the implementation of the proposed LES methodology into current aeroelastic toolset 2) application of the proposed work to large-scale simulation and comparison with experiment and lower fidelity RANS-based aeroelastic simulations and 3) advancement of the state of knowledge for nonlinear problems in aeroelasticity.

Phase II

Contract Number: ----------
Start Date: ----    Completed: ----
Phase II year
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Phase II Amount
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