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Assisted Turbulence Modeling via Data Assimilation and Machine Learning for Turbomachinery Flows
This work presents the development and assessment of a hybrid framework coupling numerical simulation, experimental samples, data assimilation (DA) and machine learning (ML) to investigate the flow within an axial compressor stage. The methodology first implements a Multi-Fidelity Ensemble Kalman Fi
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