This thesis aims to advance adjoint-assisted gradient-based shape optimization techniques by incorporating blood-specific features. The main focus is the simulation-based modeling and minimization of blood damage (hemolysis) in biomedical applications. To this end, coupled primal/adjoint equation systems, that take into account the nonNewtonian blood properties, are developed. Additionally, the thesis addresses parameter uncertainties in the optimization problem. The developed simulation methods are employed in biomedical applications, which are further analyzed using fluid-structure interaction (FSI) simulations.

This thesis aims to advance adjoint-assisted gradient-based shape optimization techniques by incorporating blood-specific features. The main focus is the simulation-based modeling and minimization of blood damage (hemolysis) in biomedical applications. To this end, coupled primal/adjoint equation systems, that take into account the nonNewtonian blood properties, are developed. Additionally, the thesis addresses parameter uncertainties in the optimization problem. The developed simulation methods are employed in biomedical applications, which are further analyzed using fluid-structure interaction (FSI) simulations.