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A multiscale approach for modelling wave propagation in an arterial segment
1Istituto per le Applicazioni del Calcolo-CNR Viale del Policlinico, 137-00161 Roma, Italy. g.pontrelli@iac.cnr.it
Summary
This study models blood flow in arteries, revealing how vessel elasticity impacts wave propagation and deformation. Numerical simulations highlight the crucial role of axial wall movement in pressure wave dynamics.
Area of Science:
- Biomedical Engineering
- Computational Fluid Dynamics
- Cardiovascular Physiology
Background:
- Accurate modeling of blood flow is essential for understanding cardiovascular health.
- Arterial wave propagation influences hemodynamic parameters and tissue perfusion.
- Non-linear fluid-wall interactions are critical in arterial dynamics.
Purpose of the Study:
- To develop and numerically investigate a quasi-one-dimensional (1D) mathematical model of blood flow in arterial vessels.
- To analyze the impact of arterial wall properties, particularly elasticity, on pressure wave propagation.
- To study wave disturbances caused by localized arterial stiffening and prosthetic implantation.
Main Methods:
- Development of a quasi-1D differential model incorporating non-linear fluid-wall interactions and biaxial wall deformation.
- Coupling the 1D model with a six-compartment lumped parameter model for boundary conditions.
- Linearization of equations to study propagation phenomena and numerical approximation using a finite difference method on a staggered grid.
Main Results:
- The model successfully simulates blood flow and wave propagation characteristics.
- Arterial elasticity significantly affects flow, wall deformation (radial and axial), and wave velocity.
- Axial wall deformation shows a notable correlation with pressure wave peaks.
Conclusions:
- The quasi-1D model provides insights into blood flow dynamics and wave propagation in arteries.
- Arterial elasticity is a key determinant of hemodynamic responses and wave characteristics.
- The study underscores the significance of axial wall deformation and models potential disturbances from vascular alterations.