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

Eulerian and Lagrangian Flow Descriptions01:22

Eulerian and Lagrangian Flow Descriptions

2.1K
Fluid flow analysis is critical in many scientific and engineering disciplines, and two principal approaches are used to describe this flow: the Eulerian and Lagrangian methods. These methods offer different perspectives on monitoring and analyzing the motion of fluids, each with distinct advantages depending on the scenario.
The Eulerian method focuses on fixed points in space where fluid properties, such as velocity, pressure, and temperature, are observed as the fluid moves between these...
2.1K
Principle of Linear Impulse and Momentum for a Single Particle01:20

Principle of Linear Impulse and Momentum for a Single Particle

1.8K
Linear momentum is a fundamental concept in physics that describes the motion of an object. It is a vector quantity, having a magnitude equal to the product of its mass and its velocity, and direction along the object's velocity. On the other hand, linear impulse, also known as momentum impulse, is a concept in physics related to the change in the linear momentum of an object. Impulse is a vector quantity defined as the product of force and the time over which the force is applied.
Delving...
1.8K
Laminar and Turbulent Flow01:07

Laminar and Turbulent Flow

11.5K
Fluid dynamics is the study of fluids in motion. Velocity vectors are often used to illustrate fluid motion in applications like meteorology. For example, wind—the fluid motion of air in the atmosphere—can be represented by vectors indicating the speed and direction of the wind at any given point on a map. Another method for representing fluid motion is a streamline. A streamline represents the path of a small volume of fluid as it flows. When the flow pattern changes with time, the...
11.5K
Principle of Linear Impulse and Momentum for a System of Particles01:21

Principle of Linear Impulse and Momentum for a System of Particles

639
In the context of a system of particles moving relative to an inertial frame of reference, the equation of motion is a crucial tool for understanding the dynamics of the system. This equation, which accounts for external forces acting on each particle, plays a fundamental role in describing the system's behavior.
Notably, internal forces between particles, occurring in equal and opposite collinear pairs, cancel out and are not part of the equation of motion. This exclusion simplifies the...
639
Conservation of Linear Momentum for a System of Particles01:28

Conservation of Linear Momentum for a System of Particles

600
In the dynamic realm of billiards, a fascinating interplay of forces governs the motion of cue balls and stationary balls. When the cue ball collides with a stationary ball, linear momentum is exchanged. The cue ball imparts a fraction of its linear momentum to the stationary ball, causing the cue ball to decelerate while initiating the motion of the stationary ball.
The impulsive force at play during this interaction is of extremely short duration, rendering its impulse negligible. When...
600
Principle of Linear Impulse and Momentum for a Single Particle: Problem Solving01:23

Principle of Linear Impulse and Momentum for a Single Particle: Problem Solving

1.1K
Consider a wooden box and a cylinder of known masses m1 and m2, respectively,  hanging from a ceiling with the help of a massless pulley system.
1.1K

You might also read

Related Articles

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

Sort by
Same author

Cultivating a resilient future workforce.

British dental journal·2025
Same author

Laser beam pointing stabilization using analog position-sensitive diodes.

The Review of scientific instruments·2025
Same author

Search for Quasiparticle Scattering in the Quark-Gluon Plasma with Jet Splittings in pp and Pb-Pb Collisions at sqrt[s_{NN}]=5.02  TeV.

Physical review letters·2025
Same author

First Measurement of A=4 Hypernuclei and Antihypernuclei at the LHC.

Physical review letters·2025
Same author

Probing Strangeness Hadronization with Event-by-Event Production of Multistrange Hadrons.

Physical review letters·2025
Same author

Measurements of Chemical Potentials in Pb-Pb Collisions at sqrt[s_{NN}]=5.02  TeV.

Physical review letters·2024

Related Experiment Video

Updated: Mar 13, 2026

Image-based Lagrangian Particle Tracking in Bed-load Experiments
10:32

Image-based Lagrangian Particle Tracking in Bed-load Experiments

Published on: July 20, 2017

9.5K

Target Lagrangian kinematic simulation for particle-laden flows.

S Murray1, M F Lightstone1, S Tullis1

  • 1Department of Mechanical Engineering, McMaster University, Hamilton, Ontario, L8S 4L7, Canada.

Physical Review. E
|October 15, 2016
PubMed
Summary

A new target Lagrangian kinematic simulation method models turbulence structure better than existing models. This approach accurately reproduces fluid tracer properties and experimental observations.

More Related Videos

Three-dimensional Particle Tracking Velocimetry for Turbulence Applications: Case of a Jet Flow
13:02

Three-dimensional Particle Tracking Velocimetry for Turbulence Applications: Case of a Jet Flow

Published on: February 27, 2016

13.1K
An Analog Macroscopic Technique for Studying Molecular Hydrodynamic Processes in Dense Gases and Liquids
11:03

An Analog Macroscopic Technique for Studying Molecular Hydrodynamic Processes in Dense Gases and Liquids

Published on: December 4, 2017

9.1K

Related Experiment Videos

Last Updated: Mar 13, 2026

Image-based Lagrangian Particle Tracking in Bed-load Experiments
10:32

Image-based Lagrangian Particle Tracking in Bed-load Experiments

Published on: July 20, 2017

9.5K
Three-dimensional Particle Tracking Velocimetry for Turbulence Applications: Case of a Jet Flow
13:02

Three-dimensional Particle Tracking Velocimetry for Turbulence Applications: Case of a Jet Flow

Published on: February 27, 2016

13.1K
An Analog Macroscopic Technique for Studying Molecular Hydrodynamic Processes in Dense Gases and Liquids
11:03

An Analog Macroscopic Technique for Studying Molecular Hydrodynamic Processes in Dense Gases and Liquids

Published on: December 4, 2017

9.1K

Area of Science:

  • Fluid dynamics
  • Computational physics
  • Turbulence modeling

Background:

  • Stochastic separated flow models have limitations in synthesizing turbulence structure.
  • Accurate simulation of fluid tracer behavior is crucial in many scientific and engineering applications.

Purpose of the Study:

  • To introduce and validate a novel target Lagrangian kinematic simulation method.
  • To improve the synthesis of turbulence structure in particle-based simulations.
  • To compare the new method against existing models and experimental data.

Main Methods:

  • Developed a stochastic Lagrangian particle model.
  • Constructed particle trajectories using synthetic turbulent-like fields.
  • Ensured synthetic fields conform to a target Lagrangian integral timescale.

Main Results:

  • The target Lagrangian kinematic simulation method better synthesizes turbulence structure compared to stochastic separated flow models.
  • The method successfully recovers expected Lagrangian properties of fluid tracers.
  • Observed reproduction of crossing trajectories and continuity effects, matching an experimental benchmark.

Conclusions:

  • The target Lagrangian kinematic simulation method offers improved accuracy for simulating turbulence and fluid tracer dynamics.
  • This method provides a valuable tool for research requiring precise modeling of turbulent flows.
  • The agreement with experimental data validates the efficacy of the proposed simulation technique.