Control and optimization

The challenges are the drag reduction of a ground vehicle in order to decrease the fuel consummation, the reduction of turbomachinery noise emissions or the increase of lift-to-drag ratio in airplanes, the control of flow instabilities to alleviate material fatigue for pipe lines or off-shore platforms and the detection of embedded defects in materials with industrial and medical applications.
Exemples: Drag minimization Lift maximization Thrust generation Shape optimization

Drag minimization


Confined square cylinder wake flow.
Vortex Shedding control (POD reduced order model) using synthetic jets.
Drag reduction: convergence towards to stationnary unstable basis flow.


Lift maximization

Airfoil at Re=2000.
Goal: maximization of the lift coefficient using two flaps.


Thrust generation

Fish-like swimming.
Goal: unstationnary shape optimization to generate a thrust force.


Shape optimization


Shape optimization.
Drag reduction in an Euler flow.