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

Instantaneous Power01:22

Instantaneous Power

445
Instantaneous power is important in electrical circuits, mainly when dealing with sinusoidal input. Instantaneous power, denoted as p(t), results from the multiplication of the instantaneous voltage (v(t)) across an element and the instantaneous current (i(t)) flowing through it. This relationship adheres to the passive sign convention and represents a fundamental principle in electrical engineering.
445
Turbulent Flow01:24

Turbulent Flow

261
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...
261
Irrotational Flow01:28

Irrotational Flow

543
Irrotational flow is characterized by fluid motion where particles do not rotate around their axes, resulting in zero vorticity. For a flow to be irrotational, the curl of the velocity field must be zero. This imposes specific conditions on velocity gradients. For instance, to maintain zero rotation about the z-axis, the gradient condition:
543
Laminar and Turbulent Flow01:07

Laminar and Turbulent Flow

9.1K
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...
9.1K
Steady Flow of a Fluid Stream01:27

Steady Flow of a Fluid Stream

348
Consider a control volume, such as a pipe with solid boundaries, through which fluid flows and changes direction due to the impulse exerted by the resulting force from the pipe walls. In steady flow, the mass of fluid entering the control volume at a given time, t, with velocity v1, is equal to the mass leaving after infinitesimal time dt, with velocity v2.
During this process, the momentum of the fluid within the control volume remains constant over the time interval dt. By applying the...
348
Bernoulli's Equation for Flow Along a Streamline01:30

Bernoulli's Equation for Flow Along a Streamline

1.1K
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:
1.1K

You might also read

Related Articles

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

Sort by
Same author

[Acute abdomen-Rare cause in an 80-year-old female patient under immunosuppressive treatment].

Innere Medizin (Heidelberg, Germany)·2023
Same author

Incisional negative pressure wound therapy to reduce surgical-site infections in major limb amputations: a meta-analysis.

EFORT open reviews·2022
Same author

Five-year audit of adherence to an anaesthesia pre-induction checklist: a reply.

Anaesthesia·2022
Same author

Canadian Surgery Forum: Abstracts of presentations to the Annual Meetings of the Canadian Association of Bariatric Physicians and Surgeons, Canadian Association of General Surgeons, Canadian Association of Thoracic Surgeons, Canadian Hepato-Pancreato-Biliary Society, Canadian Society of Surgical Oncology, Canadian Society of Colon and Rectal Surgeons, London, Ont. Sept. 15-18, 2011.

Canadian journal of surgery. Journal canadien de chirurgie·2022
Same author

Five-year audit of adherence to an anaesthesia pre-induction checklist.

Anaesthesia·2022
Same author

Torque Teno Virus plasma level as novel biomarker of retained immunocompetence in HIV-infected patients.

Infection·2021
Same journal

Erratum: Bacterial Turbulence at Compressible Fluid Interfaces [Phys. Rev. Lett. 136, 138301 (2026)].

Physical review letters·2026
Same journal

Unveiling Light-Quark Yukawa Flavor Structure via Dihadron Fragmentation at Lepton Colliders.

Physical review letters·2026
Same journal

Adaptable Route to Fast Coherent State Transport via Bang-Bang-Bang Protocols.

Physical review letters·2026
Same journal

Topological Transition and Emergence of Elasticity of Dislocation in Skyrmion Lattice: Beyond Kittel's Magnetic-Polar Analogy.

Physical review letters·2026
Same journal

Pound-Drever-Hall Method for Superconducting-Qubit Readout.

Physical review letters·2026
Same journal

Coupling a ^{73}Ge Nuclear Spin to an Electrostatically Defined Quantum Dot in Silicon.

Physical review letters·2026
See all related articles

Related Experiment Video

Updated: Sep 3, 2025

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

7.1K

Instantons and the Path to Intermittency in Turbulent Flows.

A Fuchs1, C Herbert2, J Rolland3

  • 1Institute of Physics and ForWind, University of Oldenburg, Küpkersweg 70, 26129 Oldenburg, Germany.

Physical Review Letters
|July 29, 2022
PubMed
Summary
This summary is machine-generated.

Understanding anomalous fluctuations in turbulent flows, or intermittency, is challenging. This study uses a stochastic Langevin process and entropy-conditioned trajectories to identify optimal paths (instantons) that explain non-Gaussian statistics in turbulent systems.

More Related Videos

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

8.8K
Magnetically Induced Rotating Rayleigh-Taylor Instability
06:42

Magnetically Induced Rotating Rayleigh-Taylor Instability

Published on: March 3, 2017

9.7K

Related Experiment Videos

Last Updated: Sep 3, 2025

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

7.1K
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

8.8K
Magnetically Induced Rotating Rayleigh-Taylor Instability
06:42

Magnetically Induced Rotating Rayleigh-Taylor Instability

Published on: March 3, 2017

9.7K

Area of Science:

  • Fluid Dynamics
  • Statistical Physics
  • Turbulence Research

Background:

  • Anomalous fluctuations, known as intermittency, in turbulent flows present a significant challenge to current models.
  • Understanding the origins of non-Gaussian statistics at small scales in turbulence is crucial.

Purpose of the Study:

  • To model intermittency in turbulent flows using a stochastic Langevin process.
  • To identify optimal paths (instantons) governing turbulent cascade trajectories.
  • To link these instantons to the emergence of non-Gaussian statistics.

Main Methods:

  • Modeling turbulent cascade trajectories as realizations of a stochastic Langevin process with multiplicative noise.
  • Conditioning trajectories on their entropy exchange to identify optimal paths (instantons).
  • Estimating the effective action from the Langevin equation and measured data.

Main Results:

  • Selected entropy-conditioned trajectories concentrate around an optimal path, the instanton.
  • The instanton represents the minimum of an effective action derived from the Langevin equation.
  • Instantons with negative entropy are identified as key to non-Gaussian statistics at small scales.

Conclusions:

  • The Langevin process with multiplicative noise provides a framework for understanding turbulent intermittency.
  • Entropy-conditioned instantons offer a new perspective on the emergence of non-Gaussian statistics in turbulence.
  • This approach helps pinpoint the specific trajectories responsible for anomalous fluctuations in turbulent flows.