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We present the results of an experimental and numerical investigation of a turbulent flow over a backward-facing step in a channel. Experimental data are visualized using a Particle Image Velocimetry (PIV) device. As a mathematical model we…

数学物理 · 物理学 2007-05-23 T. G. Elizarova , E. V. Shilnikov , R. Weber , J. Hureau

Particle Image Velocimetry (PIV) systems are often limited in their ability to fully resolve the spatiotemporal fluctuations inherent in turbulent flows due to hardware constraints. In this study, we develop models based on Rapid Distortion…

流体动力学 · 物理学 2021-01-15 C. Vamsi Krishna , Mengying Wang , Maziar S. Hemati , Mitul Luhar

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

Particle Image Velocimetry (PIV) has become increasingly popular to study structures in turbulent flows. PIV allows direct extraction and investigation of spatial structures in the given flow field. Increasing temporal resolution of PIV…

流体动力学 · 物理学 2021-12-10 Tom T. B. Wester , André Fuchs , Joachim Peinke , Gerd Gülker

Statistical tools are crucial for studying and modeling turbulent flows, where chaotic velocity fluctuations span a wide range of spatial and temporal scales. Advances in image velocimetry, especially in tracking-based methods, now allow…

流体动力学 · 物理学 2025-02-19 Miguel A. Mendez , Manuel Ratz , Damien Rigutto

Measurement of the velocity field in thermal-hydraulic experiments is of great importance for phenomena interpretation and code validation. Direct measurement employing Particle Image Velocimetry (PIV) is challenging in some multiphase…

流体动力学 · 物理学 2025-09-03 Xicheng Wang , YiMeng Chan , KinWing Wong , Dmitry Grishchenko , Pavel Kudinov

Particle Image Velocimetry (PIV) and Particle Tracking Velocimetry (PTV) have been employed to investigate the dynamics of finite-size spherical particles, slightly heavier than the carrier fluid, in a horizontal turbulent square duct flow.…

流体动力学 · 物理学 2019-02-13 Sagar Zade , Walter Fornari , Fredrik Lundell , Luca Brandt

Quench experiments where the flow passes from a fully turbulent state to a laminar state by an abrupt decrease in the flow Reynolds number ($Re$) have been extensively studied in the literature to quantify the turbulent-laminar transition…

Accurate prediction of wake dynamics behind hydrofoils is critical for mitigating vortex-induced vibrations and improving the performance of hydraulic machinery. Conventional turbulence modeling approaches often struggle to capture the…

流体动力学 · 物理学 2026-01-30 Gabriele Gaiti , Chirag Trivedi , Kristian F. Sagmo

This research explores the development and application of the High-Order Dynamic Integration Method for solving integro-differential equations, with a specific focus on turbulent fluid dynamics. Traditional numerical methods, such as the…

流体动力学 · 物理学 2024-10-23 Rômulo Damasclin Chaves dos Santos , Jorge Henrique de Oliveira Sales

The present work details the analysis of the aerodynamics of an experimental swirl stabilized burner representative of gas turbine combustors. This analysis is carried out using High Frequency PIV (HFPIV) measurements in a reactive…

流体动力学 · 物理学 2008-07-14 Séverine Barbosa , Philippe Scouflaire , Sébastien Ducruix

We present validation of benchmark experimental data for computational fluid dynamics (CFD) analyses of medical devices using advanced Particle Image Velocimetry (PIV) processing and post-processing techniques. This work is an extension of…

Data-driven decompositions of Particle Image Velocimetry (PIV) measurements are widely used for a variety of purposes, including the detection of coherent features (e.g., vortical structures), filtering operations (e.g., outlier removal or…

流体动力学 · 物理学 2020-08-26 Miguel A Mendez , David Hess , Bo B Watz , Jean-Marie Buchlin

Accurate modeling of the complex dynamics of fluid flows is a fundamental challenge in computational physics and engineering. This study presents an innovative integration of High-Order Singular Value Decomposition (HOSVD) with Long…

We introduce Recurrent All-Pairs Field Transforms for Stereoscopic Particle Image Velocimetry (RAFT-StereoPIV). Our approach leverages deep optical flow learning to analyze time-resolved and double-frame particle images from on-site…

Particle Image Velocimetry (PIV) is fundamental to fluid dynamics, yet deep learning applications face significant hurdles. A critical gap exists: the lack of comprehensive evaluation of how diverse optical flow models perform specifically…

计算机视觉与模式识别 · 计算机科学 2025-07-11 Zicheng Lin , Xiaoqiang Li , Yichao Wang , Chuang Zhu

Swirling flows in conical pipe can be found in a number of industrial processes, such as hydrocylone, separator and rotating machinery. It has been found that wall oscillations can reduce the drag in water channel and pipe flows, but there…

流体动力学 · 物理学 2018-03-07 Yan Xu , Yan-yue Zhang , F. C. G. A. Nicolleau , Zun-ce Wang

High Reynolds numbers Navier-Stokes equations are believed to break self-similarity concerning both spatial and temporal properties: correlation functions of different orders exhibit distinct decorrelation times and anomalous spatial…

流体动力学 · 物理学 2012-10-04 Luca Biferale , Enrico Calzavarini , Federico Toschi

Assessment of the thermo-hydraulic performance of heat exchangers using computational fluid dynamics is a challenging task. The intricate geometries of a heat exchanger require a fine discretization of the flow passage, which consequently…

流体动力学 · 物理学 2026-03-20 Nitish Anand , Praharsh Pai Raikar , Carlo De Servi

We propose to combine the active vortex generators with the particle image velocimetry (PIV) measurements and post-processing streamwise vortex characterization algorithms into a feedback based closed-loop control system for wind turbine…

流体动力学 · 物理学 2018-06-04 Caroline Braud , Alex Liberzon
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