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Updated: May 4, 2026

An Analog Macroscopic Technique for Studying Molecular Hydrodynamic Processes in Dense Gases and Liquids
Published on: December 4, 2017
Turbulence simulation by adaptive multi-relaxation lattice boltzmann modeling.
Xiaopei Liu1, Wai-Man Pang2, Jing Qin3
1Nanyang Technological University, Singapore.
This study introduces an adaptive multirelaxation scheme for lattice Boltzmann equation (LBE) simulations, enhancing turbulent flow modeling. The novel approach improves stability and visual detail for high Reynolds number flows.
Area of Science:
- Computational fluid dynamics
- Scientific visualization
- Numerical analysis
Background:
- Lattice Boltzmann Equation (LBE) methods are widely used for fluid simulations.
- Standard LBE collision models often lack stability and accuracy for turbulent flows.
- Existing methods struggle to capture fine-scale turbulence details effectively.
Purpose of the Study:
- To develop a novel, stable, and accurate simulation method for turbulent flows using LBE.
- To enhance the collision-term modeling within the Multiple Relaxation Time LBE (MRT-LBE) framework.
- To achieve visually detailed simulations of high Reynolds number turbulent flows.
Main Methods:
- Implemented an adaptive multirelaxation scheme within the MRT-LBE framework.
- Employed renormalization group analysis and adaptive correction for computing eddy viscosities.
- Developed a method to simultaneously predict multiple eddy viscosities for enhanced stability.
Main Results:
- Achieved stable simulations of turbulent flows with high Reynolds numbers.
- Enabled simulation of fine-scale turbulence details on coarse grid configurations.
- Produced visually rich smoke animations demonstrating the method's effectiveness.
Conclusions:
- The proposed adaptive MRT-LBE scheme significantly enhances stability and accuracy for turbulent flow simulations.
- This novel approach allows for detailed visualization of complex turbulent phenomena.
- The method offers a robust solution for simulating high Reynolds number flows in graphics and scientific computing.
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