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

Relation Between the Distributed Load and Shear01:23

Relation Between the Distributed Load and Shear

Understanding the relationship between the distributed load and shear force in structural analysis is crucial for analyzing beams subjected to various loading conditions. Consider the case of a beam experiencing a distributed load, two concentrated loads, and a couple moment.
Shearing Stress01:18

Shearing Stress

Shearing stress, denoted by the Greek letter tau (τ), is stress caused by forces acting transversely on an object. These forces create internal ones within the entity in the plane where the external forces are applied. The resultant of these internal forces is the shear in the section.
The average shearing stress can be calculated by dividing the shear by the area of the cross-section.
Singularity Functions for Shear01:26

Singularity Functions for Shear

In structural analysis, singularity functions are crucial in simplifying the representation of shear forces in beams under discontinuous loading. These functions describe discontinuous variations in shear force across a beam with varying loads by using a single mathematical expression, regardless of the complexity of the loading conditions. The singularity functions are derived from creating a free-body diagram of the beam and then making conceptual cuts at specific points to examine the shear...
Shearing Strain01:20

Shearing Strain

The shearing strain represents a cubic element's angular change when subjected to shearing stress. This type of stress can transform a cube into an oblique parallelepiped without influencing normal strains. The cubic element experiences a significant transformation when exposed solely to shearing stress. Its shape alters from a perfect cube into a rhomboid, clearly demonstrating the effect of shearing strain. The degree of this strain is considered positive if it reduces the angle between the...
Shear Diagram01:27

Shear Diagram

In the study of beam mechanics, shear diagrams play a crucial role in understanding the distribution of shear forces along the length of a beam. Consider a beam AB that is supported at both ends and subjected to perpendicular loads.
First, a free-body diagram of the beam is drawn, representing all the external forces and internal reactions acting on the beam. One can calculate the reaction forces at each support by employing the equilibrium equations of force and moment. The vertical component...
Genetic Drift03:33

Genetic Drift

Natural selection—probably the most well-known evolutionary mechanism—increases the prevalence of traits that enhance survival and reproduction. However, evolution does not merely propagate favorable traits, nor does it always benefit populations.

You might also read

Related Articles

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

Sort by
Same author

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

Physical review. E·2026
Same author

Dynamics and chaotic properties of the fully disordered Kuramoto model.

Chaos (Woodbury, N.Y.)·2025
Same author

Low-dimensional dynamics of globally coupled complex Riccati equations: Exact firing-rate equations for spiking neurons with clustered substructure.

Physical review. E·2025
Same author

Low-dimensional model for adaptive networks of spiking neurons.

Physical review. E·2025
Same author

Discontinuous transition to chaos in a canonical random neural network.

Physical review. E·2024
Same author

Exact low-dimensional description for fast neural oscillations with low firing rates.

Physical review. E·2024

Related Experiment Video

Updated: May 30, 2026

Uncovering Beat Deafness: Detecting Rhythm Disorders with Synchronized Finger Tapping and Perceptual Timing Tasks
09:04

Uncovering Beat Deafness: Detecting Rhythm Disorders with Synchronized Finger Tapping and Perceptual Timing Tasks

Published on: March 16, 2015

Shear diversity prevents collective synchronization.

Ernest Montbrió1, Diego Pazó

  • 1Department of Information and Communication Technologies, Universitat Pompeu Fabra, 08018 Barcelona, Spain.

Physical Review Letters
|July 21, 2011
PubMed
Summary

Collective synchronization in heterogeneous oscillators is hindered by diverse shear, even with strong coupling. A precise threshold for shear distribution width makes synchronization impossible in the Kuramoto model.

Area of Science:

  • Complex systems
  • Nonlinear dynamics
  • Statistical physics

Background:

  • Heterogeneous oscillators can synchronize through mutual interactions.
  • Synchronization in systems with distributed frequencies and common shear depends on coupling strength.
  • The role of shear diversity in synchronization dynamics remains incompletely understood.

Purpose of the Study:

  • To investigate the impact of distributed shear on collective synchronization in oscillator ensembles.
  • To derive analytical results for the Kuramoto model with heterogeneous shear.
  • To determine the conditions under which shear diversity prevents synchronization.

Main Methods:

  • Analytical treatment of the Kuramoto model incorporating distributed shear.
  • Mathematical analysis of the transition from incoherence to synchronization.

More Related Videos

Ensemble Force Spectroscopy by Shear Forces
07:30

Ensemble Force Spectroscopy by Shear Forces

Published on: July 26, 2022

Alignment of Synchronized Time-Series Data Using the Characterizing Loss of Cell Cycle Synchrony Model for Cross-Experiment Comparisons
07:59

Alignment of Synchronized Time-Series Data Using the Characterizing Loss of Cell Cycle Synchrony Model for Cross-Experiment Comparisons

Published on: June 9, 2023

Related Experiment Videos

Last Updated: May 30, 2026

Uncovering Beat Deafness: Detecting Rhythm Disorders with Synchronized Finger Tapping and Perceptual Timing Tasks
09:04

Uncovering Beat Deafness: Detecting Rhythm Disorders with Synchronized Finger Tapping and Perceptual Timing Tasks

Published on: March 16, 2015

Ensemble Force Spectroscopy by Shear Forces
07:30

Ensemble Force Spectroscopy by Shear Forces

Published on: July 26, 2022

Alignment of Synchronized Time-Series Data Using the Characterizing Loss of Cell Cycle Synchrony Model for Cross-Experiment Comparisons
07:59

Alignment of Synchronized Time-Series Data Using the Characterizing Loss of Cell Cycle Synchrony Model for Cross-Experiment Comparisons

Published on: June 9, 2023

  • Identification of critical thresholds for shear distribution width.
  • Main Results:

    • Shear diversity cannot be overcome by diffusive coupling to achieve synchronization.
    • The first analytical results for the Kuramoto model with distributed shear are presented.
    • A precise threshold for the width of the shear distribution is identified, beyond which synchronization is impossible.

    Conclusions:

    • Distributed shear presents a fundamental limitation to collective synchronization in heterogeneous oscillator systems.
    • The findings provide critical insights into the dynamics of complex coupled systems.
    • The study establishes a theoretical limit for synchronization based on shear heterogeneity.