Books and journals Case studies Expert Briefings Open Access
Advanced search

Simulation and probabilistic failure prediction of grafts for aortic aneurysm

Ron Layman (Aerospace and Mechanical Engineering Department, The University of Arizona, Tucson, Arizona, USA)
Samy Missoum (Aerospace and Mechanical Engineering Department, The University of Arizona, Tucson, Arizona, USA)
Jonathan Vande Geest (Aerospace and Mechanical Engineering Department, The University of Arizona, Tucson, Arizona, USA)

Engineering Computations

ISSN: 0264-4401

Publication date: 5 January 2010

Abstract

Purpose

–

The use of stent‐grafts to canalize aortic blood flow for patients with aortic aneurysms is subject to serious failure mechanisms such as a leak between the stent‐graft and the aorta (Type I endoleak). The purpose of this paper is to describe a novel computational approach to understand the influence of relevant variables on the occurrence of stent‐graft failure and quantify the probability of failure for aneurysm patients.

Design/methodology/approach

–

A parameterized fluid‐structure interaction finite element model of aortic aneurysm is built based on a multi‐material formulation available in LS‐DYNA. Probabilities of failure are assessed using an explicit construction of limit state functions with support vector machines (SVM) and uniform designs of experiments. The probabilistic approach is applied to two aneurysm geometries to provide a map of probabilities of failure for various design parameter values.

Findings

–

Parametric studies conducted in the course of this research successfully identified intuitive failure regions in the parameter space, and failure probabilities were calculated using both a simplified and more complex aneurysmal geometry.

Originality/value

–

This research introduces the use of SVM‐based explicit design space decomposition for probabilistic assessment applied to bioengineering problems. This technique allows one to efficiently calculate probabilities of failure. It is particularly suited for problems where outcomes can only be classified as safe or failed (e.g. leak or no leak). Finally, the proposed fluid‐structure interaction simulation accounts for the initiation of Type I endoleak between the graft and the aneurysm due to simultaneous fluid and solid forces.

Keywords

  • Monte‐Carlo simulation
  • Probability calculations
  • Blood
  • Flow
  • Blood vessels
  • Cardiovascular disease

Citation

Layman, R., Missoum, S. and Vande Geest, J. (2010), "Simulation and probabilistic failure prediction of grafts for aortic aneurysm", Engineering Computations, Vol. 27 No. 1, pp. 84-105. https://doi.org/10.1108/02644401011008531

Download as .RIS

Publisher

:

Emerald Group Publishing Limited

Copyright © 2010, Emerald Group Publishing Limited

Please note you do not have access to teaching notes

You may be able to access teaching notes by logging in via Shibboleth, Open Athens or with your Emerald account.
Login
If you think you should have access to this content, click the button to contact our support team.
Contact us

To read the full version of this content please select one of the options below

You may be able to access this content by logging in via Shibboleth, Open Athens or with your Emerald account.
Login
To rent this content from Deepdyve, please click the button.
Rent from Deepdyve
If you think you should have access to this content, click the button to contact our support team.
Contact us
Emerald Publishing
  • Opens in new window
  • Opens in new window
  • Opens in new window
  • Opens in new window
© 2021 Emerald Publishing Limited

Services

  • Authors Opens in new window
  • Editors Opens in new window
  • Librarians Opens in new window
  • Researchers Opens in new window
  • Reviewers Opens in new window

About

  • About Emerald Opens in new window
  • Working for Emerald Opens in new window
  • Contact us Opens in new window
  • Publication sitemap

Policies and information

  • Privacy notice
  • Site policies
  • Modern Slavery Act Opens in new window
  • Chair of Trustees governance statement Opens in new window
  • COVID-19 policy Opens in new window
Manage cookies

We’re listening — tell us what you think

  • Something didn’t work…

    Report bugs here

  • All feedback is valuable

    Please share your general feedback

  • Member of Emerald Engage?

    You can join in the discussion by joining the community or logging in here.
    You can also find out more about Emerald Engage.

Join us on our journey

  • Platform update page

    Visit emeraldpublishing.com/platformupdate to discover the latest news and updates

  • Questions & More Information

    Answers to the most commonly asked questions here