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A parallel methodology of adaptive Cartesian grid for compressible flow simulations.
Xinyu Qi1, Yuchen Yang1, Linlin Tian1
1College of Aerospace Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing, 210016 China.
Advances in Aerodynamics
|April 16, 2024
Summary
This study introduces an efficient Cartesian grid generation and ghost-cell method (GCM) for simulating complex fluid flows. The approach enhances parallel scalability for compressible flow simulations, including shocks and unsteady dynamics.
Area of Science:
- Computational Fluid Dynamics
- Numerical Analysis
Background:
- Cartesian grids with adaptive mesh refinement (AMR) are effective for complex geometries and flows.
- Existing Cartesian-based AMR libraries face limitations in simulating flow around objects.
Purpose of the Study:
- To develop an efficient Cartesian grid generation method and wall boundary information transmission approach.
- To parallelize the ghost-cell method (GCM) for improved simulation capabilities.
- To adapt the multi-valued ghost-cell method for a parallel framework.
Main Methods:
- Implementation of an efficient Cartesian grid generation technique.
- Development of a wall boundary information transmission approach for parallel GCM.
- Adaptation of the multi-valued ghost-cell method for parallel processing.
- Integration with the open-source p4est library for automated compressible flow simulation.
Main Results:
- Achieved automatic and efficient simulation of compressible flows.
- Demonstrated agreeable capability and parallel scalability for various flow types.
- Successfully handled flows involving shock waves, vortices, multi-body interactions, and unsteady phenomena.
Conclusions:
- The proposed numerical methodology is effective for simulating complex compressible flows.
- The approach exhibits strong parallel scalability, suitable for demanding computational tasks.
- Validated against reference data, confirming accuracy for diverse flow regimes.
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