Temporal Super-Resolution using Smart Sensors for Turbulent Separated Flows

Particle image velocimetry (PIV) data of high Reynolds number unsteady turbulent flows are often undersampled in time; this leads to aliasing of important spectral content. The present work proposes a novel data-driven estimation technique that uses oversampled sparsely placed surface-mounted pressure sensors and long short-term memory (LSTM) neural networks to resolve the aliased transient velocity dynamics from undersampled PIV data. The …