The instantaneous and mean velocities data at different Reynolds numbers (Re) were analyzed to provide insights into the velocity distributions in FTIJs.
(e) Cross-correlations of each NS and EW component of the short-term velocity vectors with the daily mean wind velocity data recorded at Syowa Station.
For the 2-dimensional backward-facing step, adaptation is driven by mean stream-wise velocity data from 100 measurement locations at 4 cross-sections of the flow.
Mean and unsteady velocity data in the wake and upstream of the trailing edge have been measured using hot-wire anemometry at Reynolds numbers of Rec= 0.7×105 2.7×105, based on chord.
For the pipe flow, adaptation is driven by mean stream-wise velocity data from 42 measurement locations along the pipe radius, and the D-DARK model reduces the average error from 5.2%to1.1%1%.
Model simulation results closely matched empirical force, displacement and velocity data (Mean R2=0.930 0.997).
Then, stationary and rotating hot-wires were used to provide mean velocity and turbulence intensity data for non-radial flow components.
Mean velocity field and turbulence data are presented that measure turbulent flow phenomena in an approximately 1 7 scale model of a region of the lower plenum of a typical prismatic gas-cooled reactor (GCR) similar to a General Atomics design (Gas-Turbine-Modular Helium Reactor).
