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Related Concept Videos

Bernoulli's Equation for Flow Along a Streamline01:30

Bernoulli's Equation for Flow Along a Streamline

Bernoulli's equation relates the energy conservation in a fluid moving along a streamline. The equation applies to incompressible and inviscid fluids under steady flow. For such a flow, Newton's second law is applied to a small fluid element, which experiences forces due to pressure differences, gravity, and velocity variations. The force balance leads to the following form of Bernoulli's equation:
Introduction to Types of Flows01:23

Introduction to Types of Flows

Fluid flows are categorized by dimensionality and behavior, with one-dimensional flow being the simplest form, where properties like velocity and pressure change only along a single axis. Water moving through straight pipes exemplifies this flow type, as variations in other directions are minimal. One-dimensional analysis helps simplify understanding such flows, focusing solely on changes along the pipe's length.
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Bernoulli's Equation for Flow Normal to a Streamline01:16

Bernoulli's Equation for Flow Normal to a Streamline

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Uniform Depth Channel Flow01:27

Uniform Depth Channel Flow

Uniform depth channel flow keeps fluid depth consistent along channels such as irrigation canals. In natural channels, such as rivers, approximate uniform flow is often assumed. This condition occurs when the channel’s bottom slope matches the energy slope, balancing potential energy lost from gravity with head loss due to shear stress. This balance prevents depth changes along the channel length, resulting in a steady, uniform flow.Uniform flow in open channels with a constant cross-section...
Eulerian and Lagrangian Flow Descriptions01:22

Eulerian and Lagrangian Flow Descriptions

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.
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General External Flow Characteristics01:26

General External Flow Characteristics

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The Diffusion of Passive Tracers in Laminar Shear Flow
08:01

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Published on: May 1, 2018

Universal statistics of branched flows.

Jakob J Metzger1, Ragnar Fleischmann, Theo Geisel

  • 1Max-Planck-Institute for Dynamics and Self-Organization, Bunsenstraße 10, 37073 Göttingen, Germany.

Physical Review Letters
|September 28, 2010
PubMed
Summary

Weakly correlated disorder potentials cause extreme fluctuations in Hamiltonian flows, leading to flow branching in 2D systems. This study provides a quantitative theory and scaling relations for branching statistics, applicable across diverse physical systems.

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Area of Science:

  • Physics
  • Statistical Mechanics
  • Condensed Matter Physics

Background:

  • Correlated disorder potentials can induce significant fluctuations in physical systems.
  • Hamiltonian flows in two dimensions exhibit pronounced branching phenomena due to these fluctuations.
  • A quantitative theoretical framework for branching statistics in such systems is currently lacking.

Purpose of the Study:

  • To develop a quantitative theory for the branching statistics of Hamiltonian flows in the presence of weak correlated disorder potentials.
  • To derive an analytical expression for the number of branches as a function of distance from a source.
  • To establish universal scaling relations for this branching phenomenon.

Main Methods:

  • Derivation of an analytical expression for the number of branches.
  • Development of scaling relations to ensure universality.
  • Theoretical analysis of Hamiltonian flows under random potentials.

Main Results:

  • An analytical expression for the number of branches has been derived, valid for all distances from a source.
  • Universal scaling relations have been established, applicable to a wide range of random potentials.
  • The derived theory quantifies the branching statistics of 2D Hamiltonian flows.

Conclusions:

  • The developed theory provides a quantitative understanding of flow branching caused by weak correlated disorder.
  • The findings offer a universal framework applicable to diverse physical systems.
  • Potential applications span fields such as semiconductor physics and geophysics.