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.
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