IDEAS home Printed from https://ideas.repec.org/a/taf/gcmbxx/v11y2008i5p553-567.html
   My bibliography  Save this article

Numerical modelling of fracture in human arteries

Author

Listed:
  • A. Ferrara
  • A. Pandolfi

Abstract

We present 3D finite element models of atherosclerotic arteries, used to investigate the influence of the geometry and tissue properties on the plaque rupture caused by overexpansion. We adopted a geometry reconstructed from a contiguous set of in vitro magnetic resonance images of a damaged artery. The artery wall is divided in three layers (adventitia, media and intima) and is discretized into tetrahedral finite elements. The artery material is described with a hyperelastic two-fiber anisotropic model proposed by Holzapfel et al. 2000. A new constitutive framework for arterial wall mechanics and a comparative study of material models. J Elasticity 61(1):1–48, while the plaque is assumed to be transversely isotropic. Cracks induced by mechanical actions are represented through cohesive surfaces, and are allowed to develop along solid elements boundaries only. Fractures are explicitly introduced in the discretized model at the locations where the tensile strength of the material is reached.

Suggested Citation

  • A. Ferrara & A. Pandolfi, 2008. "Numerical modelling of fracture in human arteries," Computer Methods in Biomechanics and Biomedical Engineering, Taylor & Francis Journals, vol. 11(5), pages 553-567.
  • Handle: RePEc:taf:gcmbxx:v:11:y:2008:i:5:p:553-567
    DOI: 10.1080/10255840701771743
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/10255840701771743
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1080/10255840701771743?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. M. G. C. Nestola & E. Faggiano & C. Vergara & R. M. Lancellotti & S. Ippolito & C. Antona & S. Filippi & A. Quarteroni & R. Scrofani, 2017. "Computational comparison of aortic root stresses in presence of stentless and stented aortic valve bio-prostheses," Computer Methods in Biomechanics and Biomedical Engineering, Taylor & Francis Journals, vol. 20(2), pages 171-181, January.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:taf:gcmbxx:v:11:y:2008:i:5:p:553-567. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Chris Longhurst (email available below). General contact details of provider: http://www.tandfonline.com/gcmb .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.