Deep learning for fluid velocity field estimation: A review
C Yu, X Bi, Y Fan - Ocean Engineering, 2023 - Elsevier
Deep learning technique, has made tremendous progress in fluid mechanics in recent
years, because of its mighty feature extraction capacity from complicated and massive fluid …
years, because of its mighty feature extraction capacity from complicated and massive fluid …
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 …
[BOEK][B] Springer handbook of experimental fluid mechanics
This Handbook consolidates authoritative and state-of-the-art information from the large
number of disciplines used in Experimental Fluid Mechanics into a readable desk reference …
number of disciplines used in Experimental Fluid Mechanics into a readable desk reference …
Dense motion estimation of particle images via a convolutional neural network
In this paper, we propose a supervised learning strategy for the fluid motion estimation
problem (ie, extracting the velocity fields from particle images). The purpose of this work is to …
problem (ie, extracting the velocity fields from particle images). The purpose of this work is to …
Collaborative framework for PIV uncertainty quantification: comparative assessment of methods
A posteriori uncertainty quantification of particle image velocimetry (PIV) data is essential to
obtain accurate estimates of the uncertainty associated with a given experiment. This is …
obtain accurate estimates of the uncertainty associated with a given experiment. This is …
Particle image velocimetry based on a deep learning motion estimator
Particle image velocimetry (PIV), as a common technology for analyzing the global flow
motion from images, plays a significant role in experimental fluid mechanics. In this article …
motion from images, plays a significant role in experimental fluid mechanics. In this article …
Main results of the 4th International PIV Challenge
In the last decade, worldwide PIV development efforts have resulted in significant
improvements in terms of accuracy, resolution, dynamic range and extension to higher …
improvements in terms of accuracy, resolution, dynamic range and extension to higher …
Cementation failure behavior of consolidated gas hydrate‐bearing sand
The macromechanical properties (strength, stiffness, stress‐strain relationship, etc) of the
hydrate‐bearing sediment are often correlated with the hydrate cementation failure …
hydrate‐bearing sediment are often correlated with the hydrate cementation failure …
Microstructure evolution of hydrate‐bearing sands during thermal dissociation and ensued impacts on the mechanical and seepage characteristics
In this study, a microfocus X‐ray computed tomography‐based triaxial testing apparatus was
used to observe and quantify the microstructure evolution of hydrate‐bearing sands during …
used to observe and quantify the microstructure evolution of hydrate‐bearing sands during …
On the uncertainty of digital PIV and PTV near walls
The reliable measurement of mean flow properties near walls and interfaces between
different fluids or fluid and gas phases is a very important task, as well as a challenging …
different fluids or fluid and gas phases is a very important task, as well as a challenging …