A reduced 3D-0D FSI model of the aortic valve including leaflets curvature

by   Ivan Fumagalli, et al.

In the present work, we propose a novel lumped-parameter model for the description of the aortic valve dynamics, including elastic effects associated to the leaflets' curvature. The introduction of a lumped-parameter model based on momentum balance entails an easier calibration of the parameter models, that are instead typically numerous in phenomenological-based models. This model is coupled with 3D Navier-Stokes equations describing the blood flow, where the valve surface is represented by a resistive method, and valve leaflets velocity is taken into consideration. The resulting reduced fluid-structure interaction problem has a computational cost that is comparable with the solution of a prescribed-motion fluid dynamics problem. A SUPG-PSPG stabilized finite element scheme is adopted for the discretization of the coupled problem, and the computational results show the suitability of the system in representing the leaflets motion, the blood flow in the ascending aorta, and the pressure jump across the leaflets.



There are no comments yet.


page 12

page 13


Non-Newtonian and poroelastic effects in simulations of arterial flows

In this paper, we focus on investigating the influence on hydrodynamic f...

A multiscale CFD model of blood flow in the human left heart coupled with a lumped-parameter model of the cardiovascular system

We present a novel computational model for the numerical simulation of t...

Hemodynamics of the heart's left atrium based on a Variational Multiscale-LES numerical model

In this paper, we investigate the hemodynamics of a left atrium (LA) by ...

Superconvergence of the MINI mixed finite element discretization of the Stokes problem: An experimental study in 3D

Stokes flows are a type of fluid flow where convective forces are small ...

Nonlinear lumped-parameter models for blood flow simulations in networks of vessels

To address the issue of computational efficiency related to the modellin...
This week in AI

Get the week's most popular data science and artificial intelligence research sent straight to your inbox every Saturday.