Efficient shape optimization for fluid–structure interaction problems

• Modular approach for shape optimization of fluid–structure interaction problems.
• Direct coupling of modules via MPI.
• Reduced order models for accelerating the optimization process.
• POD models with Kriging for approximating fluid–structure interaction solutions.

An approach for the shape optimization of fluid–structure interaction (FSI) problems is presented. It is based on a partitioned solution procedure for fluid–structure interaction, a shape representation with NURBS, and sequential quadratic programming approach for optimization within a parallel environment with MPI as direct coupling tool. The optimization procedure is accelerated by employing reduced order models based on a proper orthogonal decomposition method with snapshots and Kriging. After the verification of the FSI optimization, the functionality and efficiency of the reduced order modeling as well as the corresponding optimization procedure are investigated.