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

Turbulent Flow01:24

Turbulent Flow

683
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...
683
Laminar and Turbulent Flow01:07

Laminar and Turbulent Flow

10.8K
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...
10.8K
General Characteristics of Pipe Flow I01:22

General Characteristics of Pipe Flow I

1.7K
Pipe flow refers to the movement of fluids within fully enclosed conduits, typically cylindrical in shape, such as water pipes or hydraulic hoses. These conduits are designed to withstand high-pressure gradients that drive fluid movement, contrasting with open-channel flows, where gravity is the primary driving force. Rectangular conduits, like air conditioning and heating ducts, generally operate at lower pressures and are less suited for high-pressure applications.
The classification of fluid...
1.7K
General Characteristics of Pipe Flow II01:24

General Characteristics of Pipe Flow II

1.6K
When fluid enters a pipe, it first passes through the entrance region, where the velocity profile adjusts due to viscous effects. In this region, a boundary layer forms along the pipe walls and grows until it fully occupies the pipe's cross-section. Once the boundary layer merges, the flow becomes fully developed, with a steady velocity profile that remains consistent along the pipe's length.
The distance to reach a fully developed flow is called the entrance length and depends on the...
1.6K
Turbulent Flow: Problem Solving01:09

Turbulent Flow: Problem Solving

396
Carbonation is a process used to dissolve carbon dioxide gas in a liquid, commonly used in the production of carbonated beverages. Achieving efficient carbonation requires careful control of temperature, pressure, and flow conditions. By adjusting these parameters, carbonation efficiency can be maximized, producing a higher concentration of CO2 in the liquid.
Temperature is a key factor in CO2 solubility. In this case, the CO2 gas and the liquid are cooled to 20°C. Lower temperatures enhance...
396
Design Example: Flow of Oil Through Circular Pipes01:25

Design Example: Flow of Oil Through Circular Pipes

459
Understanding fluid flow behavior through pipes is critical in fluid mechanics, especially in applications like oil transportation through pipelines. Hagen-Poiseuille's law provides an exact solution derived from the Navier-Stokes equations for steady, incompressible, and laminar flow within a circular pipe. Hagen-Poiseuille's law helps determine the necessary pressure drop across a pipeline section by determining parameters like pipe length, radius, oil viscosity, and the desired volumetric...
459

You might also read

Related Articles

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

Sort by
Same author

Vortex polarization and circulation statistics in isotropic turbulence.

Physical review. E·2024
Same author

Statistics of extreme turbulent circulation events from multifractality breaking.

Physical review. E·2022
Same author

Circulation statistics and the mutually excluding behavior of turbulent vortex structures.

Physical review. E·2022
Same author

Multifractality breaking from bounded random measures.

Physical review. E·2021
Same author

Vortex gas modeling of turbulent circulation statistics.

Physical review. E·2020
Same author

Magnetic dissipation of near-wall turbulent coherent structures in magnetohydrodynamic pipe flows.

Physical review. E·2020
Same journal

Erratum: Low-dimensional model for adaptive networks of spiking neurons [Phys. Rev. E 111, 014422 (2025)].

Physical review. E·2026
Same journal

Disentangling the effects of many-body forces on depletion interactions.

Physical review. E·2026
Same journal

Charge transport and mode transition in dual-energy electron beam diodes.

Physical review. E·2026
Same journal

Optimization of multisite reactions in complex compartmentalized media.

Physical review. E·2026
Same journal

Origin of geometric cohesion in nonconvex granular materials: Interplay between interdigitation and rotational constraints enhancing frictional stability.

Physical review. E·2026
Same journal

Interaction of walkers with a standing Faraday wave.

Physical review. E·2026
See all related articles

Related Experiment Video

Updated: Jan 22, 2026

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

12.9K

Structural boundary state transitions in turbulent pipe flow.

L Moriconi1, G Saisse1

  • 1Universidade Federal do Rio de Janeiro, Instituto de Física, Av. Athos da Silveira Ramos 149, CEP: 21941-909 Rio de Janeiro, RJ, Brazil.

Physical Review. E
|January 21, 2026
PubMed
Summary
This summary is machine-generated.

Structural boundary states (SBSs) in turbulent pipe flows, characterized by low-speed streaks and vortices, are modeled using statistical mechanics. This lattice gas approach explains SBS occurrence and correlations, advancing our understanding of wall-bounded turbulence.

More Related Videos

Simultaneous Measurement of Turbulence and Particle Kinematics Using Flow Imaging Techniques
10:53

Simultaneous Measurement of Turbulence and Particle Kinematics Using Flow Imaging Techniques

Published on: March 12, 2019

7.5K
Author Spotlight: Enhancing Lipid Nanoparticle Formation Through Turbulent Mixing in Confined Geometries
08:10

Author Spotlight: Enhancing Lipid Nanoparticle Formation Through Turbulent Mixing in Confined Geometries

Published on: August 23, 2024

6.0K

Related Experiment Videos

Last Updated: Jan 22, 2026

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

12.9K
Simultaneous Measurement of Turbulence and Particle Kinematics Using Flow Imaging Techniques
10:53

Simultaneous Measurement of Turbulence and Particle Kinematics Using Flow Imaging Techniques

Published on: March 12, 2019

7.5K
Author Spotlight: Enhancing Lipid Nanoparticle Formation Through Turbulent Mixing in Confined Geometries
08:10

Author Spotlight: Enhancing Lipid Nanoparticle Formation Through Turbulent Mixing in Confined Geometries

Published on: August 23, 2024

6.0K

Area of Science:

  • Fluid Dynamics
  • Statistical Mechanics
  • Turbulence Research

Background:

  • Turbulent pipe flows exhibit structural boundary states (SBSs), comprising near-wall low-speed streaks and quasistreamwise vortices.
  • Understanding the dynamics and fluctuations of these structures is crucial for turbulence modeling.

Purpose of the Study:

  • To investigate the number fluctuations of structural boundary states (SBSs) in turbulent pipe flows.
  • To model SBSs using a statistical mechanics framework, specifically a lattice gas approach.

Main Methods:

  • Reduced degrees of freedom were introduced to model low-speed streaks as a dilute lattice gas of hard-core particles.
  • Metropolis stochastic evolution was employed to describe SBS transitions.
  • A lattice gas approach was used to derive SBS occurrence probability and streamwise correlations.

Main Results:

  • The study successfully models SBS transitions using a two-parameter Metropolis stochastic evolution.
  • The lattice gas approach accurately predicts the probability of SBS occurrence.
  • Self-similar correlations of SBSs along the streamwise direction were derived.

Conclusions:

  • The findings support the view of wall-bounded turbulent flows as Markov chains of coherent dynamical states.
  • This statistical mechanics approach provides a novel perspective on turbulence structure and dynamics.
  • The lattice gas model offers a simplified yet effective tool for analyzing SBSs in turbulent flows.