A neural network reconstructs gust-encounter flow fields and lift from sparse pressure sensors, separating aleatoric and epistemic uncertainties in a low-dimensional latent space.
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Low-Order Flow Reconstruction and Uncertainty Quantification in Disturbed Aerodynamics Using Sparse Pressure Measurements
A neural network reconstructs gust-encounter flow fields and lift from sparse pressure sensors, separating aleatoric and epistemic uncertainties in a low-dimensional latent space.