4.8 Article

Structure-based constitutive model can accurately predict planar biaxial properties of aortic wall tissue

期刊

ACTA BIOMATERIALIA
卷 14, 期 -, 页码 133-145

出版社

ELSEVIER SCI LTD
DOI: 10.1016/j.actbio.2014.11.043

关键词

Biaxial testing; Collagen structure; Thoracic aorta; Constitutive modeling

资金

  1. Swedish Research Council [2010-4446]
  2. Czech Science Foundation [13-16304S]
  3. Brno University of Technology [CZ.1.07/2.3.00/30.0039]

向作者/读者索取更多资源

Structure-based constitutive models might help in exploring mechanisms by which arterial wall histology is linked to wall mechanics. This study aims to validate a recently proposed structure-based constitutive model. Specifically, the model's ability to predict mechanical biaxial response of porcine aortic tissue with predefined collagen structure was tested. Histological slices from porcine thoracic aorta wall (n = 9) were automatically processed to quantify the collagen fiber organization, and mechanical testing identified the non-linear properties of the wall samples (n = 18) over a wide range of biaxial stretches. Histological and mechanical experimental data were used to identify the model parameters of a recently proposed multi-scale constitutive description for arterial layers. The model predictive capability was tested with respect to interpolation and extrapolation. Collagen in the media was predominantly aligned in circumferential direction (planar von Mises distribution with concentration parameter b(M) = 1.03 +/- 0.23), and its coherence decreased gradually from the luminal to the abluminal tissue layers (inner media, b = 1.54 +/- 0.40; outer media, b = 0.72 +/- 0.20). In contrast, the collagen in the adventitia was aligned almost isotropically (b(A) = 0.27 +/- 0.11), and no features, such as families of coherent fibers, were identified. The applied constitutive model captured the aorta biaxial properties accurately (coefficient of determination R-2 = 0.95 +/- 0.03) over the entire range of biaxial deformations and with physically meaningful model parameters. Good predictive properties, well outside the parameter identification space, were observed (R-2 = 0.92 +/- 0.04). Multi-scale constitutive models equipped with realistic micro-histological data can predict macroscopic non-linear aorta wall properties. Collagen largely defines already low strain properties of media, which explains the origin of wall anisotropy seen at this strain level. The structure and mechanical properties of adventitia are well designed to protect the media from axial and circumferential overloads. (C) 2014 Acta Materialia Inc. Published by Elsevier Ltd. All rights reserved.

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