Generation of Aerodynamic Data using a Design Of Experiment and Data Fusion Approach

Abstract

‡As one component of an expert system to generate aerodynamic data using Computational Fluid Dynamics (CFD) tools, a new approach utilizing Design of Experiment (DOE) and data fusion is outlined in the following paper. The goal of combining data fusion (merging of various fidelity solutions into a single, coherent database) with an adaptive DOE design is to improve the efficiency of the data generation process. A comparison between databases created using this novel approach and a more conventional full-factorial design shows that the new process can dramatically reduce the computational times required to generate data.