Results 101 to 110 of about 5,720 (223)

First Direct Observations of Internal Flow Structures in a Powder Snow Avalanche: Turbulence, Instability and Particle Distribution

open access: yesJournal of Geophysical Research: Earth Surface, Volume 131, Issue 6, June 2026.
Abstract Powder snow avalanches are highly dynamic, multiphase gravity‐driven flows typically composed of a dense basal layer overlain by airborne layers in which snow particles are suspended within a turbulent air phase. Despite extensive work on related systems such as pyroclastic density currents and turbidity currents, all gravity current studies ...
I. Calic, F. Coletti, B. Sovilla
wiley   +1 more source

Particle Tracking Velocimetry: A Review

open access: yes, 2018
Thesis (Master's)--University of Washington, 2018Particle tracking velocimetry (PTV) and particle image velocimetry (PIV) are methodologies that allow for volumetric velocity measurements within a fluid flow by imaging the motion of suspended micron-size
Pecora, Charles
core  

Validation of a Three Dimensional Particle Tracking Velocimetry Software [PDF]

open access: yes, 2015
In the present research, the three dimensional particle tracking software OpenPTV is validated with synthetic images from the Standard PIV project by the Visualization Society of Japan, and with experimental data from the twin-jet facility at the Laser ...
Goumnerov, Hristo
core  

Estimating particle velocity from dual-camera mixed reality video images using 3D particle tracking velocimetry

open access: yes, 2023
Mixed reality (MR) systems integrate diverse sensors, allowing users to better visualize and quantify surrounding environmental processes. Some existing mixed reality headsets include synchronized front-facing cameras that, among other things, can be ...
Chivers, Thomas
core  

Fuzzy logic particle tracking velocimetry

open access: yes, 1993
Fuzzy logic has proven to be a simple and robust method for process control. Instead of requiring a complex model of the system, a user defined rule base is used to control the process.
Wernet, Mark P.
core  

Implementación y desarrollo de algoritmos avanzados de LFC-PIV en sistemas de PIV estereoscópico para su aplicación a flujos de interés industrial [PDF]

open access: yes, 2008
The aim of this PhD Thesis is the implementation and development of Local Field Correction (LFC) PIV advanced algorithms within Stereoscopic PIV systems to allow their application to real flows of industrial interest.
Nauri, Sara
core  

High-precision and high-accuracy stereophotogrammetric image analysis for small to large strain deformation measurement in triaxial apparatus [PDF]

open access: yesE3S Web of Conferences
A deformation measurement system for laboratory soil testing based on stereophotogrammetric image analysis was developed with a purpose of characterising soil behaviour continuously from small to large strains.
Nishimura Satoshi
doaj   +1 more source

Particle Tracking Velocimetry Measurements and Simulations of Internal Flow with Induced Swirl

open access: yesFluids
The downstream decay of induced swirling flow within an internal passage has implications for heat transfer enhancement, species mixing, and combustion processes.
Ryan Boldt   +3 more
doaj   +1 more source

Particle Cluster Tracking Algorithm in Particle Image Velocimetry.

open access: yesJSME International Journal Series B, 1998
The cross-correlation tracking technique is widely used to analyze image data, in particle image velocimetry(PIV). The technique assumes that the fluid motion, within small regions of the flow field, is parallel over short time intervals. However, actual flow fields may have some distorted motion, such as rotation, shear and expansion.
openaire   +2 more sources

Applying Feature Tracking to Particle Image Velocimetry

open access: yes, 2002
Particle Image Velocimetry (PIV) is a popular approach to flow visualisation and measurement in hydro- and aerodynamic studies and applications. The fluid is seeded with particles that follow the flow and make it visible.
Dmitry Chetverikov
core  

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