A study on hemodynamic characteristics at the stenosed blood vessel using computational fluid dynamics simulations
Young-Ran Park1, Shang-Jin Kim, Seong-Jong Kim
1Department of Chemical Engineering, Chonbuk National University, Jeonju 561-756, Republic of Korea.
Computational fluid dynamics simulations reveal that increased stenosis percentage and Reynolds number in blood vessels elevate axial flow velocity and wall shear stress. This also heightens the risk of aneurysm formation in stenosed vessels.
Area of Science:
- Biomedical Engineering
- Fluid Dynamics
- Medical Imaging
Background:
- Blood flow analysis is crucial for understanding cardiovascular diseases.
- Stenosis, or the narrowing of blood vessels, significantly alters hemodynamics.
- Existing models often simplify the complex interactions within stenosed vessels.
Purpose of the Study:
- To investigate blood flow characteristics in stenosed blood vessels using computational fluid dynamics (CFD).
- To analyze the impact of varying stenosis percentages and Reynolds numbers on blood flow parameters.
- To evaluate the potential for aneurysm generation under different stenosis conditions.
Main Methods:
- Employed commercial CFD software (ADINA 8.6) for numerical simulations.
- Modeled blood flow in both normal and stenosed blood vessels for model validation.
- Incorporated fluid-structure interaction (FSI) into the computational model.
- Analyzed pulsatile and steady-state flow characteristics over time.
Main Results:
- Axial flow velocity and wall shear stress increase with higher stenosis percentages and Reynolds numbers.
- The pulsatile nature of blood flow is significantly altered by stenosis.
- Increased Reynolds number and stenosis percentage correlate with a higher likelihood of aneurysm formation.
Conclusions:
- CFD simulations provide valuable insights into hemodynamics in stenosed vessels.
- Stenosis severity and flow rate are key factors influencing hemodynamic stress and aneurysm risk.
- The study highlights the importance of FSI in accurately modeling blood flow and predicting vascular complications.
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