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A fractional approach to 3D artery simulation under a regular pulse load
Author(s) -
Juan Palomares,
José Ruelas,
Flavio Muñoz,
José Castro,
Angel Rodríguez
Publication year - 2020
Publication title -
mathematical biosciences and engineering
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.451
H-Index - 45
eISSN - 1551-0018
pISSN - 1547-1063
DOI - 10.3934/mbe.2020138
Subject(s) - relaxation (psychology) , convergence (economics) , viscoelasticity , finite element method , stability (learning theory) , creep , representation (politics) , computer science , stress (linguistics) , modulus , constitutive equation , algorithm , mathematics , materials science , structural engineering , geometry , composite material , engineering , psychology , social psychology , linguistics , philosophy , machine learning , politics , law , political science , economics , economic growth
For the diagnosis and treatment of many pathologies related to arteries, it is necessary to known their mechanical behavior. Previous investigation implement multi-layer structural models for arterial walls based on a Fung model, which can be problematic with the material stability in the convergence sense for finite element methods, issue avoided with a large number of terms in the prony series and the inclusion of relaxation function. On the other hand, this solution increase significantly the computer cost for the solution finding. In this research was implement a 3D simulation of the aorta artery, composed of three different layers that allow identifying how are distributed the stress-strain state caused by the flow pressure. A vectorized geometry was created based on medical tomography images and a fractional linear-standard viscoelastic constitutive model for solids was developed and validated. For the model adjustment was used creep-relaxation experiment data and a set of parameters, in the frequency domain, from a previous calculated complex modulus. The mechanical simulated behavior of the artery section proof that the fractional model showns an accurate representation of the simulated phenomenon, and a lower convergence time.

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