Particle image velocimetry for complex and turbulent flows
Particle image velocimetry (PIV) has evolved to be the dominant method for velocimetry in
experimental fluid mechanics and has contributed to many advances in our understanding …
experimental fluid mechanics and has contributed to many advances in our understanding …
Uncertainty quantification in particle image velocimetry
A Sciacchitano - Measurement Science and Technology, 2019 - iopscience.iop.org
Particle image velocimetry (PIV) has become the chief experimental technique for velocity
field measurements in fluid flows. The technique yields quantitative visualizations of the …
field measurements in fluid flows. The technique yields quantitative visualizations of the …
Dense velocity reconstruction from particle image velocimetry/particle tracking velocimetry using a physics-informed neural network
The velocities measured by particle image velocimetry (PIV) and particle tracking
velocimetry (PTV) commonly provide sparse information on flow motions. A dense velocity …
velocimetry (PTV) commonly provide sparse information on flow motions. A dense velocity …
PIV-based pressure measurement
BW Van Oudheusden - Measurement Science and Technology, 2013 - iopscience.iop.org
The topic of this article is a review of the approach to extract pressure fields from flow
velocity field data, typically obtained with particle image velocimetry (PIV), by combining the …
velocity field data, typically obtained with particle image velocimetry (PIV), by combining the …
Pressure fluctuations induced by a hypersonic turbulent boundary layer
Direct numerical simulations (DNS) are used to examine the pressure fluctuations generated
by a spatially developed Mach 5.86 turbulent boundary layer. The unsteady pressure field is …
by a spatially developed Mach 5.86 turbulent boundary layer. The unsteady pressure field is …
Dynamic mode decomposition on pressure flow field analysis: Flow field reconstruction, accuracy, and practical significance
This study applies the Dynamic Mode Decomposition (DMD) technique to a prototypical
wind engineering problem of flow past a square prism at a Reynolds number of 22,000 to …
wind engineering problem of flow past a square prism at a Reynolds number of 22,000 to …
Comparative assessment of pressure field reconstructions from particle image velocimetry measurements and Lagrangian particle tracking
PL Van Gent, D Michaelis, BW Van Oudheusden… - Experiments in …, 2017 - Springer
A test case for pressure field reconstruction from particle image velocimetry (PIV) and
Lagrangian particle tracking (LPT) has been developed by constructing a simulated …
Lagrangian particle tracking (LPT) has been developed by constructing a simulated …
Machine learning strategies applied to the control of a fluidic pinball
The wake stabilization of a triangular cluster of three rotating cylinders is investigated.
Experiments are performed at Reynolds number Re∼ 2200. Flow control is realized using …
Experiments are performed at Reynolds number Re∼ 2200. Flow control is realized using …
Adaptive separation control of a laminar boundary layer using online dynamic mode decomposition
Adaptive control of flow separation based on online dynamic mode decomposition (DMD) is
formulated and implemented on a canonical separated laminar boundary layer via a pulse …
formulated and implemented on a canonical separated laminar boundary layer via a pulse …
Comparative assessment for pressure field reconstruction based on physics-informed neural network
In this paper, a physics-informed neural network (PINN) is used to determine pressure fields
from the experimentally measured velocity data. As a novel method of data assimilation …
from the experimentally measured velocity data. As a novel method of data assimilation …