Simulation of Hemodynamics Through The Aortic Valve Using a Multiphase Flow Modeling Framework
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Accurate representation of hemodynamic effects is essential to understanding the degradation affects of the valve performance. Abnormal blood flow near valve leaflets can trigger clot formation by exposing cells to high shear stress, damaging red blood cells, and activating platelets. Such stresses often arise from recirculation or stagnant flow regions. Analyzing these flow patterns allows for the estimation of stresses on individual RBCs and, combined with their strength characteristics, the likelihood of hemolysis—an initiating factor in thrombosis. During bioprosthetic valve implantation through TAVI procedure, one possible failure mode is leaflet thrombosis, which can result from blood stasis or turbulence associated with structural or nonstructural deterioration. Our activities in this topics are concentrated in development the model that combines low-level microscale Discrete Element Model (DEM) to predict RBC interactions with hybrid Euler–Lagrange (HEL) for modeling RBC as granular flow. Models integration will be done through surrogate model developed in frame of the AI/ML approach. Here we would like to presents hemodynamic in vicinity to the valve leaflet by application of the granular hybrid Euler–Lagrange (HEL) approach to simulate RBC motion. This is any initial step towards development fully functionally methodology enables efficient coupling of resolved CFD-DEM results with unresolved CFD-DEM simulations performed using the simplified HEL method . ACKNOWLEDGEMENTS: The present study was carried out within the framework of a research project financed by the National Science Centre under grant agreement DEC-2024/54/E/ST8/00100 (experimental data), and it also forms an integral component of the research plan submitted as part of the application for the ERC Consolidator Grant, call ERC-2026-COG (project number 101315255).
