Modelling of fluid-structure interactions (FSI) plays a key role in many engineering applications. However, due to the interaction between fluid and structure the computational cost related to high fidelity models (especially for strongly coupled systems) limits the direct use of current FSI simulation techniques in industry. Since a thorough knowledge of FSI phenomena is very important in design processes, efficient simulation techniques that combine low cost with high accuracy need to be developed. To this end, the use of the space mapping optimization technique as coupling approach for partitioned FSI simulations is investigated.

Since the last decade the world energy supply is shifting from fossil- to renewable energy resources. Wind energy is one of the main resources of this new type of energy. However, a lot of work still needs to be done on the e_ciency improvements. This mainly results in increased rotor diameters. These large wind turbines are highly subjected to the vagaries of the atmosphere. Therefore a lot of research is being performed to the inuence of atmospheric conditions on the aerodynamic and structural behavior of wind turbines. Typical atmospheric conditions that are relevant for wind turbine design are gusts, vertical velocity shear, direction change and turbulence. The highly unsteady character of these atmospheric conditions make most of available empirical models inadequate for predicting the ow behavior around wind turbine parts. CFD can be a good alternative. However, wind engineering is a relatively new part in CFD and a lot of investigations still need to be done.

Fluid-structure interactions (FSI) are multi-physical phenomena where the dynamics of a fluid flow and the dynamics of a moving/deforming structure influence one another simultaneously. The accurate modelling, simulation and analysis of FSI is crucial for many engineering applications. However, high-fidelity FSI simulations are currently too computationally expensive for industrial purposes. The industry is in need of more efficient software to perform accurate FSI analyses at reduced computational cost. The complexity of developing such software is acknowledged and accounted for by preserving software modularity. Using black-box mono-physics solvers in a partitioned framework is one step towards ensuring software modularity. Partitioned procedures require a coupling algorithm to iteratively reduce errors related to the partitioning of the physical domains. Implementing coupling algorithms directly into each solver results in duplicitous work. Instead all algorithms related to coupling procedures should be centralised into a single unit. To this end a solver-agnostic framework is developed for the partitioned simulation of strongly-coupled fluid-structure interactions. This framework is named CASMIR (Coupling Algorithms for Strongly-Coupled Multi-physics Interaction Research).