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Tuning a lattice-Boltzmann model for applications in computational hemodynamics
D R Golbert1, P J Blanco, A Clausse
1LNCC, Laboratório Nacional de Computação Científica, Quitandinha, Petrópolis, RJ, Brazil. danielrg@lncc.br
Three parameter-tuning strategies accurately simulate pulsatile blood flow in major arteries using lattice-Boltzmann models. These methods ensure correct computational hemodynamics for physiological regimes.
Area of Science:
- Computational fluid dynamics
- Biomedical engineering
- Applied mathematics
Background:
- Lattice-Boltzmann models (LBM) are increasingly used for computational hemodynamics.
- Accurate simulation of blood flow requires careful selection of numerical parameters.
- Physiological blood flow exhibits pulsatile, time-dependent, and incompressible characteristics.
Purpose of the Study:
- To present and validate three parameter-tuning strategies for LBM simulations.
- To accurately reproduce pulsatile, incompressible blood flow under physiological conditions.
- To demonstrate the application of these strategies to various realistic hemodynamics problems.
Main Methods:
- Utilized a single-relaxation-time LBM approach.
- Implemented second-order accurate boundary conditions for velocity and pressure.
- Employed equilibrium distribution functions to ensure incompressible fluid behavior.
- Validated the model against the 3D Womersley flow benchmark.
Main Results:
- The proposed parameter-tuning strategies successfully reproduced physiological pulsatile flow regimes.
- The LBM implementation demonstrated accuracy in simulating complex flow scenarios.
- Validated results against the Womersley flow benchmark confirmed model reliability.
Conclusions:
- The presented parameter-tuning strategies are effective for accurate LBM simulations in computational hemodynamics.
- The method is applicable to diverse realistic vascular geometries, including patient-specific cases.
- This work provides a robust framework for simulating complex blood flow dynamics.
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