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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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Turbulent Flow: Problem Solving01:09

Turbulent Flow: Problem Solving

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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...
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Laminar and Turbulent Flow01:07

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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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Laminar Flow: Problem Solving01:24

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Laminar flow occurs when a fluid moves smoothly in parallel layers with minimal mixing and turbulence. In fluid mechanics, ensuring laminar flow within a pipe is essential for precise control of flow characteristics, especially in engineering applications. The key factor in determining whether flow remains laminar is the Reynolds number, a dimensionless quantity that depends on the fluid's velocity, density, viscosity, and the pipe's diameter. A Reynolds number of 2100 or lower...
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Steady, Laminar Flow in Circular Tubes01:23

Steady, Laminar Flow in Circular Tubes

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Hagen-Poiseuille flow describes a viscous fluid's steady, incompressible flow through a cylindrical tube with a constant radius R. This flow profile is often applied to understand fluid transport in narrow channels, such as capillaries. It serves as a foundational example of laminar flow. In this model, cylindrical coordinates (r,θ,z) are used to describe the radial (r), angular (θ), and axial (z) dimensions within the tube. For Hagen-Poiseuille flow, the velocity profile is purely...
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Uniform Depth Channel Flow: Problem Solving01:18

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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...
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Related Experiment Video

Updated: Apr 21, 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

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Continuum modeling of crowd turbulence.

Abhinav Golas1, Rahul Narain2, Ming C Lin1

  • 1University of North Carolina at Chapel Hill, Chapel Hill, North Carolina 27599, USA.

Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics
|November 7, 2014
PubMed
Summary

Crowd turbulence, chaotic behavior in dense crowds, can be better simulated by including pedestrian friction and stress models alongside collision avoidance. This research improves crowd disaster prevention and planning.

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Area of Science:

  • Physics
  • Social Sciences
  • Computer Science

Background:

  • Increasing global population density elevates the risk of crowd disasters.
  • Crowd turbulence, emergent chaotic behavior in dense crowds, is a key factor in these disasters.
  • Existing simulation models fail to accurately represent crowd turbulence.

Purpose of the Study:

  • To develop a more accurate simulation model for crowd turbulence.
  • To improve understanding of the factors contributing to chaotic crowd behavior.
  • To aid in the prevention and planning of high-density crowd events.

Main Methods:

  • Proposed a novel simulation model for turbulent crowds.
  • Incorporated models for interpersonal stress and acceleration constraints.
  • Modeled both collision avoidance and frictional forces between pedestrians.

Main Results:

  • Simulated results closely matched observed metrics of crowd turbulence.
  • The new model demonstrated improved fidelity in simulating chaotic crowd dynamics.
  • Validated the hypothesis that friction and stress are crucial for accurate simulation.

Conclusions:

  • Accurate simulation of crowd turbulence requires modeling friction and stress.
  • The developed model offers a significant advancement in crowd dynamics research.
  • Enhanced simulation capabilities can improve crowd safety and disaster management.