Literature DB >> 26790998

A discrete mesoscopic particle model of the mechanics of a multi-constituent arterial wall.

Alexandra Witthoft1, Alireza Yazdani1, Zhangli Peng2, Chiara Bellini3, Jay D Humphrey3, George Em Karniadakis4.   

Abstract

Blood vessels have unique properties that allow them to function together within a complex, self-regulating network. The contractile capacity of the wall combined with complex mechanical properties of the extracellular matrix enables vessels to adapt to changes in haemodynamic loading. Homogenized phenomenological and multi-constituent, structurally motivated continuum models have successfully captured these mechanical properties, but truly describing intricate microstructural details of the arterial wall may require a discrete framework. Such an approach would facilitate modelling interactions between or the separation of layers of the wall and would offer the advantage of seamless integration with discrete models of complex blood flow. We present a discrete particle model of a multi-constituent, nonlinearly elastic, anisotropic arterial wall, which we develop using the dissipative particle dynamics method. Mimicking basic features of the microstructure of the arterial wall, the model comprises an elastin matrix having isotropic nonlinear elastic properties plus anisotropic fibre reinforcement that represents the stiffer collagen fibres of the wall. These collagen fibres are distributed evenly and are oriented in four directions, symmetric to the vessel axis. Experimental results from biaxial mechanical tests of an artery are used for model validation, and a delamination test is simulated to demonstrate the new capabilities of the model.
© 2016 The Author(s).

Entities:  

Keywords:  artery microstructure; dissection; dissipative particle dynamics; nonlinear elasticity

Mesh:

Year:  2016        PMID: 26790998      PMCID: PMC4759800          DOI: 10.1098/rsif.2015.0964

Source DB:  PubMed          Journal:  J R Soc Interface        ISSN: 1742-5662            Impact factor:   4.118


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