CFD-based flow optimization for engineering and medical applications
The present talk discusses various optimization problems based on Computational Fluid Dynamics (CFD) simulations. The application of stochastic optimization methods, such as evolutionary algorithms, requires a large number of individual evaluations to explore the often high-dimensional design variable space. CFD simulations for engineering and medical applications are often unsteady and three-dimensional leading to large computational times. Specific examples, including geometrical optimization of wind turbines as well as flow-diverter stent optimization for the treatment of intracranial aneurysms considering the complex patient-specific geometry, involving enormous computational efforts will be presented during the talk.