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We study the dynamics of a flexible fiber freely moving in a three-dimensional fully-developed turbulent field and present a phenomenological theory to describe the interaction between the fiber elasticity and the turbulent flow. This…

流体动力学 · 物理学 2018-08-01 Marco Edoardo Rosti , Arash Alizad Banaei , Luca Brandt , Andrea Mazzino

3D particle tracking velocimetry (PTV) is a key technique for analyzing turbulent flow, one of the most challenging computational problems of our century. At the core of 3D PTV is the dual-frame fluid motion estimation algorithm, which…

计算机视觉与模式识别 · 计算机科学 2024-10-17 Yifei Zhang , Huan-ang Gao , Zhou Jiang , Hao Zhao

Direct estimation of Lagrangian turbulence statistics is essential for the proper modeling of dispersion and transport in highly obstructed canopy flows. However, Lagrangian flow measurements demand very high rates of data acquisition,…

流体动力学 · 物理学 2019-05-16 Ron Shnapp , Erez Shapira , David Peri , Yardena Bohbot-Raviv , Eyal Fattal , Alex Liberzon

Two-dimensional Particle Tracking Velocimetry (PTV) is a promising technique to study the behaviour of granular flows. The aim is to experimentally determine the free surface width and position of the shear band from the velocity profile to…

We introduce the first comprehensive approach to determine the uncertainty in volumetric Particle Tracking Velocimetry (PTV) measurements. Volumetric PTV is a state-of-the-art non-invasive flow measurement technique, which measures the…

流体动力学 · 物理学 2022-10-19 Sayantan Bhattacharya , Pavlos P. Vlachos

The flapping states of a flexible fiber fully coupled to a three-dimensional turbulent flow are investigated via state-of-the-art numerical methods. Two distinct flapping regimes are predicted by the phenomenological theory recently…

流体动力学 · 物理学 2019-04-29 Marco Edoardo Rosti , Stefano Olivieri , Arash A. Banaei , Luca Brandt , Andrea Mazzino

Particle Image Velocimetry (PIV) estimates velocities through correlations of particle images within interrogation windows, leading to a spatial modulation of the velocity field. Although in principle Particle Tracking Velocimetry (PTV)…

流体动力学 · 物理学 2023-02-14 Iacopo Tirelli , Andrea Ianiro , Stefano Discetti

We revisit the longstanding question of the onset of sediment transport driven by a turbulent fluid flow via laboratory measurements. We use particle tracking velocimetry to quantify the fluid flow as well as the motion of individual…

流体动力学 · 物理学 2017-11-29 J. C. Salevan , Abram H. Clark , Mark D. Shattuck , Corey S. O'Hern , Nicholas T. Ouellette

In this paper, we propose a microflow velocimetry based on particle tracking with the aid of optical trapping of tracers, namely, optically-trapped particle tracking velocimetry (ot-PTV). The ot-PTV has two phases: a trap phase, in which…

流体动力学 · 物理学 2026-01-29 Tetsuro Tsuji , Shoma Hashimoto , Satoshi Taguchi

Grid turbulence is investigated using cross-correlation digital Particle Image Velocimetry (PIV) over a range of Taylor Reynolds Number (Re{\lambda}) from 5 to 44. Instantaneous velocity is measured directly and vorticity and velocity…

流体动力学 · 物理学 2021-03-16 Philippa O'Neill , David Nicolaides , Damon Honnery , Julio Soria

The motion of an assembly of rigid fibers is investigated for different classes of closed streamline flows, steady or time dependent, two dimensional or three dimensional. In our study, the dynamics of the fiber assembly is fully-coupled to…

流体动力学 · 物理学 2020-06-24 M. Cavaiola , S. Olivieri , A. Mazzino

This paper deals with determination of turbulent convection velocities from particle image velocimetry (PIV). Turbulent convection velocities are of interest because they can be used to map temporal information into space. Convection…

流体动力学 · 物理学 2013-11-26 Roeland de Kat , Lian Gan , James R Dawson , Bharathram Ganapathisubramani

Visualization of thermal counterflow in He II using PIV (particle image velocimetry) and PTV (particle tracking velocimetry) is difficult because tracer particle motion can be influenced by both the normal fluid and superfluid components of…

其他凝聚态物理 · 物理学 2018-06-27 Brian Mastracci , Wei Guo

An important tool for experimental fluids mechanics research is Particle Image Velocimetry (PIV). Several robust methodologies have been proposed to perform the estimation of velocity field from the images, however, alternative methods are…

计算机视觉与模式识别 · 计算机科学 2025-02-03 Efraín Magaña , Francisco Sahli Costabal , Wernher Brevis

Particle tracking velocimetry (PTV) is widely used to measure time-resolved, three-dimensional velocity and pressure fields in fluid dynamics research. Inaccurate localization and tracking of particles is a key source of error in PTV,…

流体动力学 · 物理学 2026-03-31 Ke Zhou , Jiaqi Li , Jiarong Hong , Samuel J. Grauer

Turbulent puffs are ubiquitous in everyday life phenomena. Understanding their dynamics is important in a variety of situations ranging from industrial processes to pure and applied science. In all these fields, a deep knowledge of the…

流体动力学 · 物理学 2021-09-01 Andrea Mazzino , Marco E Rosti

This article describes two independent developments aimed at improving the Particle Tracking Method for measurements of flow or particle velocities. First, a stereoscopic multicamera calibration method that does not require any optical…

Historically, there is little faith in particle tracking velocimetry (PTV) as a tool to make quantitative measurements of thermal counterflow in He II, since tracer particle motion is complicated by influences from the normal fluid,…

其他凝聚态物理 · 物理学 2019-02-13 Brian Mastracci , Wei Guo

A novel method performing 3D PTV from double frame multi-camera images is introduced. Particle velocities are estimated by following three steps. Firstly, separate particle reconstructions with a sparsity-based algorithm are performed on a…

The fragmentation of small, brittle, flexible, inextensible fibers is investigated in a fully-developed, homogeneous, isotropic turbulent flow. Such small fibers spend most of their time fully stretched and their dynamics follows that of…

软凝聚态物质 · 物理学 2019-12-17 Sofía Allende , Christophe Henry , Jérémie Bec
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