Bluff Body Flow Control Using a Genetic Algorithm Optimization

Other conference contribution, 2019

This first preliminary study highlights few important
points:
• ML techniques applied to flow control show impressive
and sometimes surprising results concerning actuation
strategies
• A very weak actuation applied at the front rounded cor-
ner of the body is able to strongly influence the body
wake
and sets the starting point for the following future steps:
• The backtracking of the evolution results finding pat-
terns to explain the flow physics brought by the actuation
• The application of the GA to a 3D geometry
• The application of a linear genetic programming (LGP)
to generate a higher degree of freedom actuation signal