Abstract
This work aims to estimate the time-resolved velocity field that is directly associated with pressure fluctuations in a subsonic round jet. Synchronous measurements of the velocity field and in-flow pressure fluctuations were performed on streamwise and cross-stream measurement planes. The spectral linear stochastic estimation and neural network architectures were implemented to estimate time-resolved velocity fields. In all cases, pressure fluctuations inside the flow are found to be connected to the streamwise convection of large-scale coherent structures in the flow, and the unique advantage of the bidirectional long-short-time-memory (LSTM) method is also reported in this work.
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