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Month: December 2021

Multi-fidelity convolutional neural network surrogate model for aerodynamic optimization based on transfer learning

Multi-fidelity convolutional neural network surrogate model for aerodynamic optimization based on transfer learning

Physics of Fluids, Volume AIFM2022, Issue 1, August 2022. In aerodynamic shape optimization, a high-fidelity (HF) simulation is generally more accurate but more time-consuming than a low-fidelity (LF) simulation. To take advantage of both HF and LF sim…

A new dynamic stall prediction framework based on symbiosis of experimental and simulation data

A new dynamic stall prediction framework based on symbiosis of experimental and simulation data

Physics of Fluids, Volume AIFM2022, Issue 1, August 2022. Dynamic stall requires both accurate and efficient predictions. To model the unsteady aerodynamics of dynamic stall, a symbiosis method for dynamic stall prediction is proposed through fusing ex…