Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Uniform Depth Channel Flow: Problem Solving01:18

Uniform Depth Channel Flow: Problem Solving

To calculate the flow rate for a trapezoidal channel, first, identify the bottom width, side slope, and flow depth of the channel. The cross-sectional area (A) corresponding to the depth of flow (y), channel bottom width (B), and side slope (θ) is determined by:Next, calculate the wetted perimeter, which includes the bottom width and the sloped side lengths in contact with the water. Using the values of the cross-sectional area and the wetted perimeter, determine the hydraulic radius by...
Steady Flow of a Fluid Stream01:27

Steady Flow of a Fluid Stream

Consider a control volume, such as a pipe with solid boundaries, through which fluid flows and changes direction due to the impulse exerted by the resulting force from the pipe walls. In steady flow, the mass of fluid entering the control volume at a given time, t, with velocity v1, is equal to the mass leaving after infinitesimal time dt, with velocity v2.
During this process, the momentum of the fluid within the control volume remains constant over the time interval dt. By applying the...
Accelerating Fluids01:17

Accelerating Fluids

When a fluid is in constant acceleration, the pressure and buoyant force equations are modified. Suppose a beaker is placed in an elevator accelerating upward with a constant acceleration, a. In the beaker, assume there is a thin cylinder of height h with an infinitesimal cross-sectional area, ΔS.
The motion of the liquid within this infinitesimal cylinder is considered to obtain the pressure difference. Three vertical forces act on this liquid:
Uniform Depth Channel Flow01:27

Uniform Depth Channel Flow

Uniform depth channel flow keeps fluid depth consistent along channels such as irrigation canals. In natural channels, such as rivers, approximate uniform flow is often assumed. This condition occurs when the channel’s bottom slope matches the energy slope, balancing potential energy lost from gravity with head loss due to shear stress. This balance prevents depth changes along the channel length, resulting in a steady, uniform flow.Uniform flow in open channels with a constant cross-section...
Rapidly Varying Flow01:24

Rapidly Varying Flow

Rapidly varying flow (RVF) in open channels is characterized by abrupt changes in flow depth over a short distance, with the rate of depth change relative to distance often approaching unity. These flows are inherently complex due to their transient and multi-dimensional nature, making exact analysis difficult. However, approximate solutions using simplified models provide valuable insights into their behavior.Key Features of Rapidly Varying FlowRVF is commonly observed in scenarios involving...
Turbulent Flow01:24

Turbulent Flow

Turbulent flow is characterized by unpredictable fluctuations in velocity and pressure, which result in a chaotic fluid movement distinct from the orderly patterns of laminar flow. While laminar flow is governed by smooth, parallel layers with minimal mixing, turbulent flow exhibits highly irregular, three-dimensional patterns. This behavior arises due to instabilities in the fluid's velocity profile, and amplifies as the flow velocity increases. Minor disturbances, known as turbulent spots,...

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Training a Dynamic Growing Mixture Model for Lifelong Learning.

IEEE transactions on neural networks and learning systems·2025
Same author

Continual Unsupervised Generative Modeling.

IEEE transactions on pattern analysis and machine intelligence·2025
Same author

Horizontal gaze palsy with ipsilateral esotropia with substituted convergence in a child with medulloblastoma.

Strabismus·2025
Same author

Computational Study on the Effects of Valve Orientation on the Hemodynamics and Leaflet Dynamics of Bioprosthetic Pulmonary Valves.

Journal of biomechanical engineering·2024
Same author

Lifelong Generative Adversarial Autoencoder.

IEEE transactions on neural networks and learning systems·2023
Same author

Lifelong Dual Generative Adversarial Nets Learning in Tandem.

IEEE transactions on cybernetics·2023

Related Experiment Video

Updated: Jun 13, 2026

Confocal Imaging of Confined Quiescent and Flowing Colloid-polymer Mixtures
10:56

Confocal Imaging of Confined Quiescent and Flowing Colloid-polymer Mixtures

Published on: May 20, 2014

Robust processing of optical flow of fluids.

Ashish Doshi1, Adrian G Bors

  • 1Department of Computer Science, University of York, York, UK.

IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society
|April 23, 2010
PubMed
Summary

This study introduces a novel fluid dynamics modeling approach, combining physical models with image estimation for turbulent flow analysis. It improves optical flow estimation and detects flow structures like vortices.

More Related Videos

Fabrication, Operation and Flow Visualization in Surface-acoustic-wave-driven Acoustic-counterflow Microfluidics
12:26

Fabrication, Operation and Flow Visualization in Surface-acoustic-wave-driven Acoustic-counterflow Microfluidics

Published on: August 27, 2013

Profiling Maternal Behavior Responses During Whole-Brain Imaging
07:12

Profiling Maternal Behavior Responses During Whole-Brain Imaging

Published on: January 24, 2025

Related Experiment Videos

Last Updated: Jun 13, 2026

Confocal Imaging of Confined Quiescent and Flowing Colloid-polymer Mixtures
10:56

Confocal Imaging of Confined Quiescent and Flowing Colloid-polymer Mixtures

Published on: May 20, 2014

Fabrication, Operation and Flow Visualization in Surface-acoustic-wave-driven Acoustic-counterflow Microfluidics
12:26

Fabrication, Operation and Flow Visualization in Surface-acoustic-wave-driven Acoustic-counterflow Microfluidics

Published on: August 27, 2013

Profiling Maternal Behavior Responses During Whole-Brain Imaging
07:12

Profiling Maternal Behavior Responses During Whole-Brain Imaging

Published on: January 24, 2025

Area of Science:

  • Fluid dynamics
  • Image processing
  • Computational physics

Background:

  • Turbulent fluid flow presents significant challenges for traditional optical flow estimation methods due to its complex, dynamic patterns.
  • Accurate modeling of fluid movement is crucial in various scientific and engineering disciplines.

Purpose of the Study:

  • To develop an advanced methodology for modeling fluid movement, specifically addressing the complexities of turbulent flow.
  • To enhance optical flow estimation techniques by integrating physical models and robust image processing.

Main Methods:

  • Coupling physical models (Navier-Stokes equations) with image estimation techniques.
  • Implementing a multi-stage processing pipeline: advection, diffusion, and mass conservation.
  • Utilizing a robust, anisotropic Gaussian diffusion kernel informed by local data geometry and statistics to adapt to vector field orientation changes.

Main Results:

  • Successfully modeled turbulent fluid flow and dynamically changing patterns.
  • Developed a new method for detecting fluid flow structures, such as vortices.
  • Demonstrated the methodology's effectiveness on both synthetic vector fields and real image sequences.

Conclusions:

  • The proposed approach offers a robust framework for fluid optical flow modeling, outperforming existing methods.
  • The integration of physical principles with advanced image processing effectively captures complex fluid dynamics.
  • The technique shows promise for applications requiring precise analysis of fluid motion and structure detection.