Human Blood Circulation Modeling Based on Multi-Block Lattice Boltzmann Method and its Application

In this study, a two-dimensional (2D) multi-block lattice Boltzmann method (LBM) is employed to develop a computational model of human blood circulation. Based on actual arteriovenous network data, the vascular model of the blood circulation was simplified into an idealized 2D rigid channel network. Among these structures, the approach of incorporating porous media within the blood flow channels was employed to simulate the capillary network. The model was calibrated based on experimentally measured flow variation patterns, and through grid independence verification, the research validity of the model has been substantiated. As an application, the model is coupled with a three-dimensional (3D) localized radial artery model constructed using the immersed boundary method. The effects of elastic walls on the propagation of flow, displacement, and pressure waves were systematically investigated. Furthermore, through simulations of amputation, vascular plaque formation, and organ pathologies, the impact of abnormal blood flow on circulatory dynamics and pulse wave characteristics was quantitatively assessed. The results demonstrate that localized blood flow patterns significantly influence the systemic circulation process, and abnormalities in regional hemodynamics can alter the pulse wave characteristics of the radial artery. This model offers a novel methodological framework for investigating the mechanisms underlying blood circulation dynamics.