An inverse fitting strategy to determine the constrained mixture model parameters: application in patient-specific aorta
Abstract
The Constrained Mixture Model (CMM) is a novel approach to describe arterial wall mechanics, whose formulation is based on a referential physiological state. The CMM considers the arterial wall as a mixture of load-bearing constituents, each of them with characteristic mass fraction, material properties, and deposition stretch levels from its stress-free state to the in-vivo configuration. Although some reports of this model successfully assess its capabilities, they barely explore experimental approaches to model patient-specific scenarios. In this sense, we propose an iterative fitting procedure of numerical-experimental nature to determine material parameters and deposition stretch values. To this end, the model has been implemented in a finite element framework, and it is calibrated using reported experimental data of descending thoracic aorta. The main results obtained from the proposed procedure consist of a set of material parameters for each constituent. Moreover, a relationship between deposition stretches and residual strain measurements (opening angle and axial stretch) has been numerically proved, establishing a strong consistency between the model and experimental data.
Más información
Título según WOS: | An inverse fitting strategy to determine the constrained mixture model parameters: application in patient-specific aorta |
Título de la Revista: | FRONTIERS IN BIOENGINEERING AND BIOTECHNOLOGY |
Volumen: | 11 |
Editorial: | FRONTIERS MEDIA SA |
Fecha de publicación: | 2023 |
DOI: |
10.3389/fbioe.2023.1301988 |
Notas: | ISI |