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Laminar and Turbulent Flow01:07

Laminar and Turbulent Flow

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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...
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Turbulent Flow01:24

Turbulent Flow

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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...
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Bernoulli's Equation00:59

Bernoulli's Equation

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In the middle of the nineteenth century, it was observed that two trains passing each other at a high relative speed get pulled towards each other. The same occurs when two cars pass each other at a high relative speed. The reason is that the fluid pressure drops in the region where the fluid speeds up. As the air between the trains or the cars increases in speed, its pressure reduces. The pressure on the outer parts of the vehicles is still the atmospheric pressure, while the resultant...
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Bernoulli's Principle: Applications01:17

Bernoulli's Principle: Applications

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There are many devices and situations in which fluid flows at a constant height and so can be analyzed using Bernoulli's principle. These devices include, but are not limited to, entrainment devices and fluid flow measuring devices.
Entrainment devices use a high fluid speed to create low pressures and, thus, entrain one fluid into another. Some examples of these devices are given below:
6.1K
Entropy and the Second Law of Thermodynamics01:20

Entropy and the Second Law of Thermodynamics

3.3K
The second law of thermodynamics can be stated quantitatively using the concept of entropy. Entropy is the measure of disorder of the system.
The relation  between entropy and disorder can be illustrated with the example of the phase change of ice to water. In ice, the molecules are located at specific sites giving a solid state, whereas, in a liquid form, these molecules are much freer to move. The molecular arrangement has therefore become more randomized. Although the change in average...
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Entropy and the Second Law of Thermodynamics01:26

Entropy and the Second Law of Thermodynamics

377
Consider an isolated system in which a hot object is placed in contact with a cold one. This is an irreversible process that eventually leads both objects to reach the same equilibrium temperature. It is crucial to note that the constituents of any substance exhibit increased disorder at higher temperatures. As a cold substance absorbs heat, its constituents become more disordered. The energy transfer from a hotter object to a cooler one increases the system's disorder or randomness. This...
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Related Experiment Video

Updated: May 4, 2026

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

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Information content of turbulence.

R T Cerbus1, W I Goldburg1

  • 1Department of Physics and Astronomy, University of Pittsburgh, Pittsburgh, Pennsylvania 15221, USA.

Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics
|December 17, 2013
PubMed
Summary

Turbulent velocity fields are analyzed as messages using Shannon

Area of Science:

  • Fluid dynamics
  • Information theory
  • Statistical mechanics

Background:

  • Turbulent flows involve complex dynamics across multiple scales.
  • Shannon's information theory provides a framework for quantifying message complexity.
  • The relationship between turbulence and information entropy is not fully understood.

Purpose of the Study:

  • To investigate turbulent velocity fields as information-theoretic messages.
  • To explore the relationship between spatial entropy density and Reynolds number in turbulent flows.
  • To analyze the behavior of entropy in dynamical systems like the logistic map.

Main Methods:

  • Treating turbulent velocity fields as messages.
  • Applying Shannon's entropy per symbol (h) for quantification.

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

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Visually Based Characterization of the Incipient Particle Motion in Regular Substrates: From Laminar to Turbulent Conditions
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Visually Based Characterization of the Incipient Particle Motion in Regular Substrates: From Laminar to Turbulent Conditions

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Related Experiment Videos

Last Updated: May 4, 2026

Simultaneous Measurement of Turbulence and Particle Kinematics Using Flow Imaging Techniques
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Simultaneous Measurement of Turbulence and Particle Kinematics Using Flow Imaging Techniques

Published on: March 12, 2019

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

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Visually Based Characterization of the Incipient Particle Motion in Regular Substrates: From Laminar to Turbulent Conditions
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Visually Based Characterization of the Incipient Particle Motion in Regular Substrates: From Laminar to Turbulent Conditions

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  • Analyzing experimental data from turbulent soap films.
  • Investigating the logistic map and a modified, coupled version.
  • Main Results:

    • Spatial entropy density (h) in turbulent soap films decreases with increasing Reynolds number (Re).
    • The relationship observed is h proportional to -logRe + const.
    • In the logistic map, entropy (h) increases with the control parameter (r).
    • Correlations significantly impact entropy in the modified logistic map.

    Conclusions:

    • Turbulent velocity fields can be effectively characterized using information entropy.
    • Entropy density is a decreasing function of Reynolds number in turbulent flows.
    • Correlations play a crucial role in the information content of dynamical systems.