3 papers
physics.flu-dyn2019
Prediction of wall-bounded turbulence from wall quantities using convolutional neural networks
L. Guastoni, M. P. Encinar, P. Schlatter +2
A fully-convolutional neural-network model is used to predict the streamwise velocity fields at several wall-normal locations by taking as input the streamwise and spanwise wall-sh…
physics.flu-dyn2019
Momentum transfer by linearised eddies in channel flows
Miguel P. Encinar, Javier Jimenez
The presence and structure of an Orr-like inviscid mechanism is studied in fully developed, large-scale turbulent channel flow. Orr-like `bursts' are defined by the relation betwee…
physics.flu-dyn2018
Logarithmic-layer turbulence: a view from the wall
Miguel P. Encinar, Javier Jiménez
The observability of the flow field away from the wall in turbulent channel flow is studied using only wall observations. Reconstructions are generated from noiseless but limited w…