Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

Scaling

Scaling

In designing and analyzing filters, resonant circuits, or circuit analysis at large, working with standard element values like 1 ohm, 1 henry, or 1 farad can be convenient before scaling these values to more realistic figures. This approach is widely utilized by not employing realistic element values in numerous examples and problems; it simplifies mastering circuit analysis through convenient component values. The complexity of calculations is thereby reduced, with the understanding that...

Magnetostatic Boundary Conditions

Magnetostatic Boundary Conditions

An electric field suffers a discontinuity at a surface charge. Similarly, a magnetic field is discontinuous at a surface current. The perpendicular component of a magnetic field is continuous across the interface of two magnetic mediums. In contrast, its parallel component, perpendicular to the current, is discontinuous by the amount equal to the product of the vacuum permeability and the surface current. Like the scalar potential in electrostatics, the vector potential is also continuous...

Multimachine Stability

Multimachine Stability

Multimachine stability analysis is crucial for understanding the dynamics and stability of power systems with multiple synchronous machines. The objective is to solve the swing equations for a network of M machines connected to an N-bus power system.
In analyzing the system, the nodal equations represent the relationship between bus voltages, machine voltages, and machine currents. The nodal equation is given by:

Typical Model Studies

Typical Model Studies

Fluid mechanics model studies often utilize scaled-down systems to predict fluid behavior in full-scale environments, such as river flows, dam spillways, and structures interacting with open surfaces. Maintaining Froude number similarity in river models is crucial, as it replicates surface flow features like wave patterns and velocities.

Divergence and Curl of Magnetic Field

Divergence and Curl of Magnetic Field

The magnetic field due to a volume current distribution given by the Biot–Savart Law can be expressed as follows:

Design Example: Creating a Hydraulic Model of a Dam Spillway

Design Example: Creating a Hydraulic Model of a Dam Spillway

Scaled hydraulic models of dam spillways provide a practical way to replicate and study the intricate flow dynamics of these structures. Often built to a 1:15 ratio, these models allow for observing critical water behavior, such as velocity distribution, flow patterns, and energy dissipation.

You might also read

Related Articles

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

Sort by

Same author

Intermittent Fluctuations Determine the Nature of Chaos in Turbulence.

Physical review letters·2026

Same author

Astrocytic connexin43 phosphorylation contributes to seizure susceptibility after mild traumatic brain injury.

The FEBS journal·2026

Same author

xCT (Slc7a11) Regulation: Lessons from Cancer Research.

Neurochemical research·2026

Same author

Turbulence-induced fluctuating interfaces in heterogeneously active suspensions.

PNAS nexus·2026

Same author

Combined heart-liver transplant in an acute-on-chronic liver failure (ACLF) setting.

Indian journal of thoracic and cardiovascular surgery·2026

Same author

Abnormal calcium release and delayed afterdepolarizations: A comparison of two mathematical models for human ventricular myocytes.

PloS one·2026

Same journal

Erratum: Low-dimensional model for adaptive networks of spiking neurons [Phys. Rev. E 111, 014422 (2025)].

Physical review. E·2026

Same journal

Disentangling the effects of many-body forces on depletion interactions.

Physical review. E·2026

Same journal

Charge transport and mode transition in dual-energy electron beam diodes.

Physical review. E·2026

Same journal

Optimization of multisite reactions in complex compartmentalized media.

Physical review. E·2026

Same journal

Origin of geometric cohesion in nonconvex granular materials: Interplay between interdigitation and rotational constraints enhancing frictional stability.

Physical review. E·2026

Same journal

Interaction of walkers with a standing Faraday wave.

Physical review. E·2026

See all related articles

Search research articles

Related Experiment Video

Updated: Mar 10, 2026

Magnetically Induced Rotating Rayleigh-Taylor Instability

Magnetically Induced Rotating Rayleigh-Taylor Instability

Published on: March 3, 2017

Dynamic multiscaling in magnetohydrodynamic turbulence.

Samriddhi Sankar Ray¹, Ganapati Sahoo², Rahul Pandit³

¹International Centre for Theoretical Sciences, Tata Institute of Fundamental Research, Bangalore 560089, India.

Physical Review. E

|December 15, 2016

Summary

This summary is machine-generated.

We studied multiscaling in magnetohydrodynamic (MHD) turbulence, generalizing fluid turbulence methods. Numerical simulations revealed scaling exponents for velocity and magnetic fields, advancing our understanding of turbulent dynamics.

More Related Videos

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

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

Published on: December 4, 2017

Analyzing Mixing Inhomogeneity in a Microfluidic Device by Microscale Schlieren Technique

Analyzing Mixing Inhomogeneity in a Microfluidic Device by Microscale Schlieren Technique

Published on: June 12, 2015

Related Experiment Videos

Last Updated: Mar 10, 2026

Magnetically Induced Rotating Rayleigh-Taylor Instability

Magnetically Induced Rotating Rayleigh-Taylor Instability

Published on: March 3, 2017

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

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

Published on: December 4, 2017

Analyzing Mixing Inhomogeneity in a Microfluidic Device by Microscale Schlieren Technique

Analyzing Mixing Inhomogeneity in a Microfluidic Device by Microscale Schlieren Technique

Published on: June 12, 2015

Area of Science:

Physics
Plasma Physics
Fluid Dynamics

Background:

Turbulence is a complex phenomenon observed in various physical systems.
Understanding magnetohydrodynamic (MHD) turbulence is crucial for fields like astrophysics and plasma physics.
Previous studies focused on fluid turbulence structure functions, necessitating adaptation for MHD.

Purpose of the Study:

To investigate the multiscaling properties of time-dependent velocity and magnetic-field structure functions in 3D MHD turbulence.
To generalize existing formalisms for fluid turbulence structure functions to the MHD context.
To obtain both equal-time and dynamic scaling exponents in MHD turbulence.

Main Methods:

Generalizing the formalism for time-dependent structure functions from fluid turbulence to MHD.
Conducting detailed numerical studies using a shell model for 3D MHD turbulence.
Analyzing velocity and magnetic-field data to determine scaling exponents.

Main Results:

Successfully generalized the theoretical framework for structure function analysis to MHD.
Obtained numerical results for both equal-time and dynamic scaling exponents.
Demonstrated the multiscaling behavior of velocity and magnetic fields in MHD turbulence.

Conclusions:

The study provides a robust method for analyzing MHD turbulence structure functions.
The obtained scaling exponents offer insights into the energy cascade and dissipation mechanisms.
This work contributes to a deeper theoretical understanding of turbulent phenomena in magnetized plasmas.