Publication detail

Compressibility of arterial wall – direct measurement and predictions of compressible constitutive models

SKÁCEL, P. BURŠA, J.

Original Title

Compressibility of arterial wall – direct measurement and predictions of compressible constitutive models

English Title

Compressibility of arterial wall – direct measurement and predictions of compressible constitutive models

Type

journal article in Web of Science

Language

en

Original Abstract

Volumetric compressibility and Poisson's ratios of fibrous soft tissues are analyzed in this paper on the basis of constitutive models and experimental data. The paper extends the previous work of Skacel and Bursa (J Mech Behav Biomed Mater, 54, pp. 316–327, 2016), dealing with incompressible behaviour of constitutive models, to the area of compressibility. Both recent approaches to structure-based constitutive modelling of anisotropic fibrous biomaterials (based on either generalized structure tensor or angular integration) are analyzed, including their compressibility-related aspects. New experimental data related to compressibility of porcine arterial layer are presented and compared with the theoretical predictions of analyzed constitutive models. The paper points out the drawbacks of recent models with distributed fibres orientation since none of the analyzed constitutive models seems to be capable to predict the experimentally observed Poisson's ratios and volume change satisfactory.

English abstract

Volumetric compressibility and Poisson's ratios of fibrous soft tissues are analyzed in this paper on the basis of constitutive models and experimental data. The paper extends the previous work of Skacel and Bursa (J Mech Behav Biomed Mater, 54, pp. 316–327, 2016), dealing with incompressible behaviour of constitutive models, to the area of compressibility. Both recent approaches to structure-based constitutive modelling of anisotropic fibrous biomaterials (based on either generalized structure tensor or angular integration) are analyzed, including their compressibility-related aspects. New experimental data related to compressibility of porcine arterial layer are presented and compared with the theoretical predictions of analyzed constitutive models. The paper points out the drawbacks of recent models with distributed fibres orientation since none of the analyzed constitutive models seems to be capable to predict the experimentally observed Poisson's ratios and volume change satisfactory.

Keywords

Arterial wall mechanics; Compressibility of soft tissue; Poisson's ratio; Anisotropy; Compressible hyperelastic models; Hyperfit software

Released

01.02.2019

Publisher

Elsevier

Location

Nizozemsko

Pages from

538

Pages to

546

Pages count

9

URL

Documents

BibTex


@article{BUT152060,
  author="Pavel {Skácel} and Jiří {Burša}",
  title="Compressibility of arterial wall – direct measurement and predictions of compressible constitutive models",
  annote="Volumetric compressibility and Poisson's ratios of fibrous soft tissues are analyzed in this paper on the basis of
constitutive models and experimental data. The paper extends the previous work of Skacel and Bursa (J Mech
Behav Biomed Mater, 54, pp. 316–327, 2016), dealing with incompressible behaviour of constitutive models, to
the area of compressibility. Both recent approaches to structure-based constitutive modelling of anisotropic
fibrous biomaterials (based on either generalized structure tensor or angular integration) are analyzed, including
their compressibility-related aspects. New experimental data related to compressibility of porcine arterial layer
are presented and compared with the theoretical predictions of analyzed constitutive models. The paper points
out the drawbacks of recent models with distributed fibres orientation since none of the analyzed constitutive
models seems to be capable to predict the experimentally observed Poisson's ratios and volume change satisfactory.",
  address="Elsevier",
  chapter="152060",
  doi="10.1016/j.jmbbm.2018.11.004",
  howpublished="print",
  institution="Elsevier",
  number="1",
  volume="90",
  year="2019",
  month="february",
  pages="538--546",
  publisher="Elsevier",
  type="journal article in Web of Science"
}