Effect of turbulent models on left ventricle diastolic flow patterns simulation
Jahanbakhsh Jahanzamin1, Nasser Fatouraee1, Abbas Nasiraei-Moghaddam2,3
1Biological Fluid Dynamics Research Laboratory, Biomedical Engineering Faculty, Amirkabir University of Technology (Tehran Polytechnic) , Tehran , Iran.
This study compares turbulence models for left ventricle blood flow. The k-epsilon model accurately predicted diastolic flow patterns, outperforming laminar and Spalart-Allmaras models.
Area of Science:
- Cardiovascular fluid dynamics
- Computational fluid dynamics (CFD)
Background:
- Vortex structures significantly influence left ventricle function and disease.
- Understanding turbulence in the left ventricle is crucial for cardiac health assessment.
Purpose of the Study:
- To investigate the impact of numerical turbulence models on diastolic flow patterns.
- To compare the accuracy of k-epsilon and Spalart-Allmaras turbulence models against laminar flow and experimental data.
Main Methods:
- Utilized an extended left heart model with fluid-structure interaction (FSI) of a realistic mitral valve.
- Simulated diastolic flow using laminar, k-epsilon, and Spalart-Allmaras turbulence models.
Main Results:
- Turbulence models (k-epsilon, SA) showed higher dissipation rates, resulting in larger, stronger vortices compared to the laminar model.
- The k-epsilon model demonstrated superior accuracy in predicting the E/A ratio compared to experimental data from healthy subjects.
Conclusions:
- The k-epsilon turbulence model provides more accurate simulations of diastolic flow in the left ventricle.
- Accurate modeling of cardiac flow turbulence is essential for understanding left ventricle function and pathology.
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