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Grid refinement in the three-dimensional hybrid recursive regularized lattice Boltzmann method for compressible
A new 3D grid refinement technique enhances computational fluid dynamics (CFD) for aerodynamics. This method improves the accuracy of compressible high-speed flow simulations using the hybrid recursive regularized lattice Boltzmann method (HRR-LBM).
Area of Science:
- Computational Fluid Dynamics (CFD)
- Aerodynamics
- Numerical Methods
Background:
- Accurate simulation of thin shear layers in aerodynamics requires fine grids.
- Cartesian grid-based CFD methods necessitate efficient grid refinement strategies.
- Existing methods may struggle with complex flow phenomena and high-speed regimes.
Purpose of the Study:
- To develop a novel three-dimensional grid refinement technique for CFD.
- To integrate this technique within the hybrid recursive regularized lattice Boltzmann method (HRR-LBM).
- To enhance the simulation of compressible high-speed aerodynamic flows.
Main Methods:
- Implementation of a 3D grid refinement strategy within the HRR-LBM framework.
- Utilizing a compact D3Q19 stencil for an efficient collide-stream approach.
- Testing the method on challenging aerodynamic flow cases.
Main Results:
- Successful application of the grid refinement technique in various test cases.
- Accurate capture of flow features like transition interfaces and shock-vortex interactions.
- Demonstrated capability for simulating transonic flows over complex geometries (DLR-M6 wing) with multiple refinement levels.
Conclusions:
- The proposed 3D grid refinement technique is effective for HRR-LBM.
- It significantly improves the accuracy of simulating compressible high-speed aerodynamic flows.
- The method shows promise for complex aerodynamic simulations requiring high resolution.
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