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Lattice boltzmann method for compressible flows with high mach numbers
1Department of Physics and Center for Nonlinear Sciences, Peking University, Beijing 100871, China and Laboratory of Nonlinear Mechanics, Institute of Mechanics, Chinese Academy of Science, Beijing 100800, China and Department of Physic.
Summary
We developed a lattice Boltzmann model to simulate high Mach number compressible flows. This effective method softens sound speed, enabling Mach 5 simulations and opening new applications in fluid dynamics.
Area of Science:
- Computational fluid dynamics
- Fluid dynamics
- Computational physics
Background:
- Lattice Boltzmann methods are widely used for fluid simulations.
- Simulating compressible flows, especially at high Mach numbers, presents significant computational challenges.
- Existing models often struggle with stability and accuracy for high Mach number regimes.
Purpose of the Study:
- To introduce a novel lattice Boltzmann model for simulating compressible flows.
- To enhance the capability of lattice Boltzmann methods to handle high Mach number flows.
- To validate the model's effectiveness through established benchmarks.
Main Methods:
- Development of a lattice Boltzmann model incorporating an attractive force term.
- Effective softening of the sound speed within the model.
- Simulation of the Mach cone phenomenon.
- Comparison of simulation results with theoretical predictions.
Main Results:
- The model successfully simulates compressible flows up to Mach 5.
- The introduced attractive force effectively softens the sound speed.
- Simulations of the Mach cone demonstrate good agreement with theoretical expectations.
- The method proves effective for high Mach number flow simulations.
Conclusions:
- The proposed lattice Boltzmann model is a viable and effective approach for simulating high Mach number compressible flows.
- The model's simplicity and effectiveness offer a promising tool for future research and applications in fluid dynamics.
- This advancement facilitates the study of phenomena previously difficult to simulate.