IDEAS home Printed from https://ideas.repec.org/a/taf/gcmbxx/v24y2021i2p215-229.html
   My bibliography  Save this article

Oxygen transport in a permeable model of abdominal aortic aneurysm

Author

Listed:
  • Rana Zakerzadeh
  • Tanja Cupac
  • Michael Durka

Abstract

This paper reports on modelling and simulation of the coupled mass and momentum transport through the arterial lumen and the porous arterial wall of an abdominal aortic aneurysm (AAA). The effect of porous structure and intramural flow, which is usually neglected, is essential to quantify the oxygen concentration in the aneurysmal wall and will be addressed in this work via a novel coupled fluid–porous structure–mass transport model for AAA. The computational solver provides a prediction of the filtration velocity and oxygen concentration in the artery and further simulations are used to investigate the relation between the wall oxygen concentration and permeability. The results demonstrate the essential coupling between blood and filtration flow and specifically how their interactions affect oxygen transport.

Suggested Citation

  • Rana Zakerzadeh & Tanja Cupac & Michael Durka, 2021. "Oxygen transport in a permeable model of abdominal aortic aneurysm," Computer Methods in Biomechanics and Biomedical Engineering, Taylor & Francis Journals, vol. 24(2), pages 215-229, January.
  • Handle: RePEc:taf:gcmbxx:v:24:y:2021:i:2:p:215-229
    DOI: 10.1080/10255842.2020.1821193
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/10255842.2020.1821193
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1080/10255842.2020.1821193?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.

    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:24:y:2021:i:2:p:215-229. 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.