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Published on: April 12, 2019
Multispeed models in off-lattice Boltzmann simulations
André Bardow1, Iliya V Karlin, Andrei A Gusev
1Process & Energy Department, Delft University of Technology, 2628 CA Delft, The Netherlands. a.bardow@tudelft.nl
Multispeed lattice Boltzmann models improve accuracy for complex flow simulations. This off-lattice approach makes large-scale computations practical on unstructured grids.
Area of Science:
- Computational fluid dynamics
- Numerical methods
Background:
- The lattice Boltzmann method (LBM) is a powerful tool for simulating complex fluid flows.
- Standard LBM is typically limited to structured grids, restricting its application.
- Off-lattice methods offer flexibility but can be complex to implement.
Purpose of the Study:
- To implement recently proposed multispeed lattice Boltzmann models.
- To leverage the flexibility of off-lattice methods for enhanced accuracy.
- To enable large-scale simulations on unstructured grids.
Main Methods:
- Utilized a general characteristic-based algorithm for off-lattice Boltzmann simulations.
- Implemented multispeed lattice Boltzmann models within the off-lattice framework.
- Extended the method to handle unstructured grids.
Main Results:
- Demonstrated that multispeed models significantly enhance simulation accuracy.
- Successfully preserved the desirable properties of standard LBM in the off-lattice approach.
- Showcased the practicality of large-scale off-lattice computations.
Conclusions:
- The integration of multispeed models with off-lattice LBM offers a highly accurate simulation approach.
- This method overcomes the limitations of structured grids, enabling complex flow simulations.
- The proposed technique makes large-scale, accurate off-lattice LBM computations feasible.
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