SBIR/STTR Research Award

Computational Aeroacoustics Using the Generalized Lattice Boltzmann Equation

Award identifier 863a3bd35aac56d1d764cd9055b64461e361c4a5af252e7c8a83db3dca2f5c64Awarding agency National Aeronautics and Space Administration

Award amount

$69,951

Program and phase

SBIR · Phase I

Award year

2006

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Award details

Awarding agency
National Aeronautics and Space Administration
Branch
Not reported
Recipient company
MetaHeuristics
Proposal award date
2006-01-27
Contract end date
2006-07-24
UEI
Not reported
Solicitation number
Not reported
Topic code
A2.04

Research abstract

The overall objective of the proposed project is to develop a generalized lattice Boltzmann (GLB) approach as a potential computational aeroacoustics (CAA) tool for noise prediction thus contributing to NASA's goal of reducing noise levels of subsonic aircraft. Lattice Boltzmann equation (LBE) based simulations are attractive for CAA as they can handle very complex geometries and parallelize with excellent scalability. This enables efficient simulation of very large problems, such as airframe systems. The innovativeness of the proposed GLB method lies in employing multiple relaxation times to capture different hydrodynamic/acoustic modes accurately, in contrast to usual LBE solution methods using a single relaxation time for all modes. The GLB approach would enable higher fidelity CAA simulations as well as exhibit stability at higher Reynolds numbers. Multiple relaxation times can also enable represent turbulence better for large eddy simulation. In phase I, the feasibility of the GLB method will be evaluated by coding a 3D solver, including a subgrid scale turbulence model and multiblock grid refinement algorithms, with testing against several CAA benchmark problems. If successful, a validated package based on the GLB method interfaced to NASA pre/post processors, like CART3D, for complex geometries would be developed in Phase II.

Technology keywords

Not reported

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Agency intelligence

National Aeronautics and Space Administration

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