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Aerodynamic database is a critical component for many engineering applications, including highly accurate flight simulation and virtual certification. The aerodynamic database for the flight simulation contains large number of data tables filled with aerodynamic coefficients. The database should be accurate and large enough to ensure the quality of simulator to reflect the real system in wide range of operating conditions. Data fusion methods based on variable-fidelity metamodeling are efficient solution for construction of a large database while saving computational cost. There is a need for a method to combine multiple levels of variable fidelity data into a single database. This research proposes a novel approach based on variable fidelity and hierarchical kriging, which is able to handle a database with three levels of fidelity. The results show a considerably better performance of the proposed method compared to other existing methods.

Numerical Experience with Variable-fidelity Metamodeling for Aerodynamic Data Fusion Problems