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

Conservation of Energy00:54

Conservation of Energy

The terms 'conserved quantity' and 'conservation law' have specific scientific meanings in physics, which differ from the meanings associated with their everyday use. For example, in everyday usage, water could be conserved by not using it, by using less of it, or by re-using it. However, in scientific terms, a conserved quantity of a system stays constant, changes by a definite amount that is transferred to other systems, and is converted into other forms of that quantity. In the scientific...
Conservation of Momentum: Introduction01:16

Conservation of Momentum: Introduction

The total momentum of a system consisting of N interacting objects is constant in time or is conserved. A system must meet two requirements for its momentum to be conserved:
Energy Conservation and Bernoulli's Equation01:16

Energy Conservation and Bernoulli's Equation

Applying the conservation of energy principle or the work-energy theorem to an incompressible, inviscid fluid in laminar, steady, irrotational flow leads to Bernoulli's equation. It states that the sum of the fluid pressure, potential, and kinetic energy per unit volume is constant along a streamline.
All the terms in the equation have the dimension of energy per unit volume. The kinetic energy per unit volume is called the kinetic energy density, and the potential energy per unit volume is...
Reynolds Transport Theorem01:24

Reynolds Transport Theorem

The Reynolds transport theorem provides a framework to relate the time rate of change of an extensive property within a system to that in a control volume, which is crucial for analyzing fluid dynamics. Extensive properties, such as mass, velocity, acceleration, temperature, and momentum, can be expressed in terms of the mass of a fluid portion. These properties are called extensive because they depend on the system's size, while intensive properties are their corresponding values per unit mass.
Conservation of Mass in Finite Cotrol Volume01:16

Conservation of Mass in Finite Cotrol Volume

The principle of conservation of mass is a fundamental law in fluid mechanics and is applied using the continuity equation. We apply the concept to a finite control volume to derive the continuity equation.
A system is defined as a collection of unchanging contents, and the conservation of mass states that a system's mass is constant.
Conservation of Energy in Control Volume01:14

Conservation of Energy in Control Volume

Consider a turbine operating under steady-flow conditions. The control volume is drawn around the turbine, with fluid entering at one point and exiting at another. The turbine extracts energy from the fluid, which performs mechanical work (shaft work).
For steady flow systems, the time derivative of the stored energy becomes zero since there is no energy accumulation within the control volume. This simplifies the energy equation to:

You might also read

Related Articles

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

Sort by
Same author

Optimal trajectories for Bayesian olfactory search in turbulent flows: The low information limit and beyond.

Physical review fluids·2025
Same author

Synthetic Lagrangian turbulence by generative diffusion models.

Nature machine intelligence·2025
Same author

Topical issue on quantitative AI in complex fluids and complex flows: challenges and benchmarks.

The European physical journal. E, Soft matter·2023
Same author

Optimal policies for Bayesian olfactory search in turbulent flows.

Physical review. E·2023
Same author

Optimizing airborne wind energy with reinforcement learning.

The European physical journal. E, Soft matter·2023
Same author

Nonequilibrium ensembles for the three-dimensional Navier-Stokes equations.

Physical review. E·2022

Related Experiment Video

Updated: Jul 28, 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

Statistical conservation laws in turbulent transport.

I Arad1, L Biferale, A Celani

  • 1Department of Chemical Physics, The Weizmann Institute of Science, Rehovot 76100, Israel.

Physical Review Letters
|November 3, 2001
PubMed
Summary

This study explores the statistical theory of fields transported by turbulence. In forced turbulence, statistically preserved structures dominate correlations, while decaying turbulence reveals infinite statistical constants of motion.

More Related Videos

An Analog Macroscopic Technique for Studying Molecular Hydrodynamic Processes in Dense Gases and Liquids
11:03

An Analog Macroscopic Technique for Studying Molecular Hydrodynamic Processes in Dense Gases and Liquids

Published on: December 4, 2017

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

Related Experiment Videos

Last Updated: Jul 28, 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

An Analog Macroscopic Technique for Studying Molecular Hydrodynamic Processes in Dense Gases and Liquids
11:03

An Analog Macroscopic Technique for Studying Molecular Hydrodynamic Processes in Dense Gases and Liquids

Published on: December 4, 2017

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:

  • Fluid dynamics
  • Statistical physics
  • Turbulence research

Background:

  • Understanding the behavior of transported fields in turbulent flows is crucial in various scientific disciplines.
  • Existing theories often struggle to capture the complex dynamics of turbulent transport.
  • Both forced and unforced (decaying) turbulent scenarios present unique challenges.

Purpose of the Study:

  • To develop a statistical theory for fields transported by turbulent velocity fields.
  • To identify dominant structures in forced turbulent transport.
  • To discover conserved quantities in decaying turbulent transport.

Main Methods:

  • Theoretical analysis of correlation functions in turbulent flows.
  • Investigation of statistically preserved structures in forced turbulence.
  • Identification of infinite statistical constants through projection in decaying turbulence.
  • Numerical simulations using a simplified turbulent transport model.

Main Results:

  • Statistically preserved structures significantly influence correlation functions in forced turbulence.
  • Infinite statistical constants of motion were identified in decaying turbulence.
  • The proposed theory demonstrates generality, independent of Lagrangian structures.
  • Numerical evidence supports the theoretical findings.

Conclusions:

  • The statistical theory provides a robust framework for understanding turbulent transport.
  • Statistically preserved structures are key to predicting field behavior in forced turbulence.
  • The identified constants offer new insights into conserved quantities in decaying turbulence.