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PIV Measurement Uncertainty
粒子图像测速法（Particle Image Velocimetry，PIV）测量不确定度
应用场景：
创建时间：
2025-11-07
相关数据集
Velocity measurements of a bench scale buoyant plume applying particle image velocimetry
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 plume. IMP
NIAID Data Ecosystem50
Uncertainty Analysis of a Radome Flush Orifice Air Motion System for the...
This analysis is intended to establish a detailed measurement uncertainty for the present radome air motion systems used at NCAR and to provide a working document that may be...
Virginia Open Data20
CTD (AWI 1413, Sea & Sun 90 M Series II) data collected during the DAUNE experiment near Helgoland in July 2020@en
This data set contains CTD data collected during the DAUNE experiment using the given sensor. The goal of this experiment was to reach a common understanding of how measurement uncertainty can be deri
DataONE2025-09-30 更新10
High level GPU-accelerated 2D PIV framework in Python
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
PIV data for the six sandbox models
The dataset include the 2D PIV data, specifically horizontal velocity differences, vertical velocity differences, and vorticity differences, plotted in Figures 13-14. Also included are PIV velocity an
Mendeley Data20
