Development of design optimization approach with the fusion of experiment, numerical simulation and optimization methods

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In this research subject, the fusion of experiment, numerical simulation and optimization methods has been investigated. An experimental/numerical data fusion approach has been developed which can provide more accurate estimation model of the performance parameters of fluid machinery. A data reconstruction approach has also been developed which enables the reconstruction of gappy experimental data numerically by using the dominant structures of the gappy experimental data itself. Utilizing the developed approaches, design optimizations of fluid machineries with the fusion of experiment/numerical simulation are available, and then optimal configurations of fluid machineries can be designed efficiently/robustly.