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Published on: April 12, 2019
Meshless lattice Boltzmann method for the simulation of fluid flows.
S Hossein Musavi1, Mahmud Ashrafizaadeh1
1Department of Mechanical Engineering, Isfahan University of Technology, Isfahan 84156-83111, Iran.
A novel meshless lattice Boltzmann method offers a powerful alternative for fluid flow simulations. This approach reduces numerical errors and computational time, outperforming standard methods in certain scenarios.
Area of Science:
- Computational fluid dynamics
- Numerical methods
- Fluid mechanics
Background:
- Traditional lattice Boltzmann methods rely on mesh-based discretizations.
- Mesh-based methods can introduce significant numerical errors and require complex mesh quality improvements.
- Developing meshless alternatives is crucial for enhancing simulation accuracy and efficiency.
Purpose of the Study:
- To propose and validate a novel meshless lattice Boltzmann numerical method.
- To address limitations associated with mesh-based discretizations in fluid flow simulations.
- To demonstrate the method's effectiveness for benchmark fluid flow problems.
Main Methods:
- Separation of collision and streaming operators in the lattice Boltzmann equation.
- Discretization of the streaming equation using the Lax-Wendroff scheme (time) and a meshless local Petrov-Galerkin scheme with augmented radial basis functions (space).
- Application to plane Couette flow, circular Couette flow, and impulsively started cylinder flow.
Main Results:
- The meshless lattice Boltzmann method demonstrated excellent agreement with analytical solutions and literature data.
- The method effectively reduces numerical errors inherent in mesh-based approaches.
- Despite higher per-node computational cost, the meshless method shows superior performance when the total number of nodes is reduced.
Conclusions:
- The proposed meshless lattice Boltzmann method is a viable and powerful alternative for fluid flow simulations.
- This approach offers advantages in accuracy and efficiency, particularly for complex flow scenarios.
- The meshless nature provides flexibility and reduces the burden of mesh generation and quality control.
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