Free-form deformation of solid geometric models
SIGGRAPH '86 Proceedings of the 13th annual conference on Computer graphics and interactive techniques
Elements of information theory
Elements of information theory
Automatic detection of open and closed separation and attachment lines
Proceedings of the conference on Visualization '98
Moment Invariants for the Analysis of 2D Flow Fields
IEEE Transactions on Visualization and Computer Graphics
Visualization and data mining of Pareto solutions using self-organizing map
EMO'03 Proceedings of the 2nd international conference on Evolutionary multi-criterion optimization
Interaction detection in aerodynamic design data
IDEAL'09 Proceedings of the 10th international conference on Intelligent data engineering and automated learning
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In the automotive industry Computational Fluid Dynamics (CFD) simulations have become an important technology to support the development process of a new automobile. During that process, individual simulations of the air flow produce a huge amount of information about the design characteristic, where mostly only a minority of information is used. At the same time knowledge about the relationship between design modifications and their aerodynamic consequences provides valuable insight into the entire aerodynamic system. In this work a computational framework is introduced, providing means to identify relevant interactions within the aerodynamic system based on existing design and flow data. For an efficient modeling, the raw flow field data is reduced to a set of relevant flow features or phenomena. Applying interaction graphs to the aerodynamic data set unveils interacting and redundant structures between design variations and observed changes of flow phenomena. The general framework is applied to an exemplary aerodynamic system representing a 2D contour of a passenger car.