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Related Concept Videos

Boundary Layer Characteristics01:18

Boundary Layer Characteristics

When a fluid encounters a solid surface, a boundary layer forms due to the interaction between the fluid's motion and the stationary surface. This phenomenon is characterized by a thin region adjacent to the surface where viscous forces dominate, influencing the fluid's velocity profile. The development of the boundary layer begins at the leading edge of the surface and evolves as the fluid moves downstream.As the fluid flows over the surface, friction between the fluid and the wall slows down...
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,...
Laminar and Turbulent Flow01:07

Laminar and Turbulent Flow

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 streamlines...
Intensity Of Electromagnetic Waves01:22

Intensity Of Electromagnetic Waves

The energy transport per unit area per unit time, or the Poynting vector, gives the energy flux of an electromagnetic wave at any specific time. For a plane electromagnetic wave with E0 and B0 as the peak electric and magnetic fields and traveling along the x-axis, the time-varying energy flux can be given by the following equation:
Poiseuille's Law and Reynolds Number01:10

Poiseuille's Law and Reynolds Number

Any fluid in a horizontal tube can flow due to pressure differences—fluid flows from high to low pressure. The flow rate (Q) is the ratio of pressure difference and resistance through a horizontal tube. The greater the pressure difference, the higher the flow rate. The flow resistance is expressed as:
Sound Intensity00:58

Sound Intensity

The loudness of a sound source is related to how energetically the source is vibrating, consequently making the molecules of the propagation medium vibrate. To measure the loudness of a source, the physical quantity of interest is the intensity. This is defined as the energy emitted per unit of time per unit of area perpendicular to the sound wave's propagation direction. Since the total energy is greater if the source vibrates for a longer duration and over a larger area, dividing the emitted...

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Related Experiment Video

Updated: Jun 13, 2026

Visually Based Characterization of the Incipient Particle Motion in Regular Substrates: From Laminar to Turbulent Conditions
11:51

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

Published on: February 22, 2018

Intensity statistics for propagation through a turbulent layer.

G C Valley, W P Brown

    Applied Optics
    |April 17, 2010
    PubMed
    Summary
    This summary is machine-generated.

    Monte Carlo simulations reveal that common probability distributions like Rice-Nakagami and lognormal are unsuitable for modeling far-field irradiance through turbulent layers. This finding impacts optical communication and remote sensing applications.

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    The Diffusion of Passive Tracers in Laminar Shear Flow
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    The Diffusion of Passive Tracers in Laminar Shear 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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    Published on: February 22, 2018

    Experimental Methodology for Estimation of Local Heat Fluxes and Burning Rates in Steady Laminar Boundary Layer Diffusion Flames
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    The Diffusion of Passive Tracers in Laminar Shear Flow
    08:01

    The Diffusion of Passive Tracers in Laminar Shear Flow

    Published on: May 1, 2018

    Area of Science:

    • Optics and Photonics
    • Statistical Physics
    • Electromagnetics

    Background:

    • Turbulent atmospheric layers significantly affect electromagnetic wave propagation.
    • Accurate modeling of far-field irradiance is crucial for optical systems.
    • Existing probability distributions may not capture the complexities of turbulence-induced irradiance fluctuations.

    Purpose of the Study:

    • To investigate the probability distribution of far-field irradiance.
    • To evaluate the applicability of common statistical distributions for modeling turbulence effects.
    • To determine the most accurate distribution for irradiance fluctuations.

    Main Methods:

    • Utilized Monte Carlo simulations for computational modeling.
    • Focused on a thin turbulent layer model.
    • Considered a finite-aperture transmitter scenario.

    Main Results:

    • Monte Carlo calculations demonstrated a unique probability distribution.
    • The Rice-Nakagami distribution was found to be inapplicable.
    • The lognormal distribution and other common models were also unsuitable.

    Conclusions:

    • Standard probability distributions are inadequate for describing far-field irradiance through thin turbulent layers.
    • New or modified models are required for accurate irradiance prediction in such scenarios.
    • This research has implications for the design and performance analysis of optical systems operating through atmospheric turbulence.