The Particle Image Velocimetry (PIV) method is widely used for optical measurment of flow velocity fields. This paper demonstrates the possibilities of using high-level libraries for GPU-accelerated P

NIAID Data Ecosystem30

Dataset - Deep Recurrent Optical Flow Learning for Particle Image Velocimetry Data

粒子图像测速

流体动力学模拟

This is the official dataset of Recurrent All-Pairs Field Transforms for Particle Image Velocimetry Data (RAFT-PIV) published in Nature Machine Intelligence. In this work, we propose a deep neural ne

NIAID Data Ecosystem10

Velocity measurements of a bench scale buoyant plume applying particle image velocimetry

浮力羽流实验

粒子图像测速

2D PIV velocity field data from the open plume experiment run 2015 at the Forschungszentrum Juelich. An electrically heated copper block placed in an enclosure creates a buoyancy driven plum

Zenodo2020-06-29 更新40

Experimental data and MATLAB code underlying the PhD thesis: The Vortex Dynamics of Laminar Separation Bubbles

层流分离泡

粒子图像测速

The dataset contains the experimental data collected during my PhD thesis work. The data are primarily velocity measurements collected within a laminar separation bubble via Particle Image Velocimetry

4TU.ResearchData2020-11-25 更新30

Processed Data for: A combined digital image correlation/particle image velocimetry study of water-backed impact

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