An evolutionary approach to Wall Shear Stress prediction in a grafted artery

R. Muhammad Atif Azad, Ali R. Ansari, Conor Ryan, Michael Walsh, Tim McGloughlin

Research output: Contribution to journalArticlepeer-review

Abstract

Restoring the blood supply to a diseased artery is achieved by using a vascular bypass graft. The surgical procedure is a well documented and successful technique. The most commonly cited hemodynamic factor implicated in the disease initiation and proliferation processes at graft/artery junctions is Wall Shear Stress (WSS). WSS distributions are predicted using numerical simulations as they can provide quick and precise results to assess the effects that alternative graft/artery junction geometries have on the WSS distributions in bypass grafts. Validation of the numerical model is required and in vitro studies, using laser Doppler anemometry (LDA), have been employed to achieve this. Numerically, the Wall Shear Stress is predicted using velocity values stored in the computational cell near the wall and assuming zero velocity at the wall. Experimentally obtained velocities require a mathematical model to describe their behavior. This study employs a grammar based evolutionary algorithm termed Chorus for this purpose and demonstrates that Chorus successfully attains this objective. It is shown that even with the lack of domain knowledge, the results produced by this automated system are comparable to the results in the literature.

Original languageEnglish
Pages (from-to)139-148
Number of pages10
JournalApplied Soft Computing
Volume4
Issue number2
DOIs
Publication statusPublished - May 2004

Keywords

  • Computational Fluid Dynamics
  • Context free grammars
  • Evolutionary Algorithms
  • Laser Doppler anemometry
  • Mathematical modeling
  • The Chorus system
  • Wall Shear Stress

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