Key result
New one-dimensional nonlinear analytical model effectively simulates hemodynamics and identifies pathological changes.
Why the study?
To advance the understanding of arterial diseases, hemodynamic models that accurately predict pulsatile blood flow within the arterial tree are needed.
A novel 1D nonlinear analytical model effectively simulates pulsatile blood flow, offering a theoretical basis for understanding arterial hemodynamics and pathological changes.
To advance the understanding of arterial diseases, it is essential to develop hemodynamic models that accurately predict pulsatile blood flow within arterial tree. This study presented a one-dimensional (1D) nonlinear analytical model (NLAM) for simulating blood flow. By decomposing pulsatile flow, NLAM addressed nonlinear terms in governing equations and derived an analytical solution for a single artery, extended to the entire system via vessel coupling. Validation comfirms its effectiveness in simulating basic hemodynamics and identifying potential locations and severity of pathological changes. This work aims to refine previous modeling approaches and provide a theoretical basis for clinical diagnosis and treatment.
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Wang et al. (2025) studied arterial diseases. 1D nonlinear analytical model (NLAM) was evaluated on simulation of basic hemodynamics and identification of pathological changes. A one-dimensional nonlinear analytical model (NLAM) was developed and validated for effectively simulating basic hemodynamics and identifying potential locations and severity of pathological changes.
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