Abstract

A modular framework for the aerodynamic optimization of complex geometries has been developed. The framework includes a direct interface to a parametric-CAD system that allowed an efficient manipulation and surface tessellation of generic-CAD models. Furthermore, the use of a component-based Cartesian method reduced the demands on the CAD system by reusing cached component triangulations, and improved the robustness of the framework due to the decoupling of the surface mesh form the volume mesh. Parallel efficiency of the framework was maintained even when subject to limited CAD resources by dynamically re-allocating the processors of the flow solver, thereby using the scalability of the solver to mask the latency of the geometry server.

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