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Rupture in Abdominal Aortic Aneurysm

  • Qusay Alfaori
  • Ashok SaxenaEmail author
  • Hanna Jensen
  • Morten Jensen
Conference paper
  • 731 Downloads

Abstract

Ability to predict the growth of abdominal aortic aneurysm and the rupture event is important for prognostics and treatment for this life-threatening cardiovascular disease. Uniaxial stress–strain testing of healthy and collagen-degraded aortic specimens from pigs was performed in order to study the biomechanical properties of the aortic tissue. A mathematical model for the stress–strain relationship suitable for describing the behaviour of abdominal aortic tissue was used to derive tissue properties as a function of specimen orientation and collagen degradation . The resultant properties varied significantly between healthy tissue and collagen-degraded tissue and were found to be orientation dependent. Maximum stress, maximum strain and critical strain values were significantly higher for healthy tissue group than for collagen-degraded tissue group. Finite element modelling of healthy and collagen-degraded abdominal aortas was performed using the measured properties. It is shown that this approach can potentially lead to the development of an analytical tool for assisting in prognostics and treatment of the disease.

Keywords

Aneurysm Aorta Collagen degradation Rupture 

Nomenclature

\(\sigma\)

Stress

\(\varepsilon\)

Strain

\({\rm A}\text{ = }\varepsilon_{c}\)

Critical strain for rupture

K

Inverse of the elastic modulus in Region 3 of the stress–strain behaviour

B

Regression constant characteristic of the stress–strain behaviour in Region 1

\(\varepsilon_{\hbox{max} }\)

Maximum strain sustained prior to rupture

\(\sigma_{u}\)

Ultimate strength or maximum stress at rupture

Notes

Acknowledgements

The animal aortic specimens were obtained from Cockrums Meat Processing and Taxidermy, Rudy, Arkansas, USA. Dr. Kartik Balachandran is thanked for his help in providing valuable insight and allowing us to use some of his laboratory space and materials.

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Copyright information

© Springer Nature Singapore Pte Ltd. 2018

Authors and Affiliations

  • Qusay Alfaori
    • 1
  • Ashok Saxena
    • 1
    Email author
  • Hanna Jensen
    • 1
  • Morten Jensen
    • 1
  1. 1.Department of Biomedical EngineeringUniversity of ArkansasFayettevilleUSA

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