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

1.2K
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.
1.2K
Distributed Loads01:19

Distributed Loads

1.1K
Distributed loads are a common type of load that engineers and scientists encounter in various practical situations. Distributed loads often refer to a type of load spread over a surface or a structure and can be modeled as continuous force per unit area.
For example, consider a bookshelf filled with books stacked vertically adjacent to each other. The weight of the books is evenly distributed over the length of the shelf. As a result, the pressure at different locations on the surface of the...
1.1K
Cable Subjected to a Distributed Load01:24

Cable Subjected to a Distributed Load

1.4K
The analysis of suspension bridges is a complex and critical process that involves multiple factors, including the shape and tension of the main cables. The main cables of suspension bridges are subjected to distributed loads, which result in changes in tensile forces and deformation of the cable. These loads must be carefully considered to ensure that the bridge is safe and capable of supporting the weight of different loads.
1.4K
Distributed Loads: Problem Solving01:21

Distributed Loads: Problem Solving

1.3K
Beams are structural elements commonly employed in engineering applications requiring different load-carrying capacities. The first step in analyzing a beam under a distributed load is to simplify the problem by dividing the load into smaller regions, which allows one to consider each region separately and calculate the magnitude of the equivalent resultant load acting on each portion of the beam. The magnitude of the equivalent resultant load for each region can be determined by calculating...
1.3K
Elastic Curve from the Load Distribution01:16

Elastic Curve from the Load Distribution

592
The structural behavior of beams under distributed loads is critical for engineering analysis, which focuses on predicting how beams bend and react under such conditions. Different types of beams (e.g., cantilever, supported, or overhanging) behave differently under distributed load conditions.
For all beams, the analysis of the beam's reaction to distributed loads begins by understanding the relationship between a beam's load and the resulting shear forces and bending moments. Initially, this...
592
Beams with Symmetric Loadings01:15

Beams with Symmetric Loadings

551
The moment-area method is an analytical tool used in structural engineering to determine the slope and deflection of beams under various loads. Consider a cantilever with a concentrated load and moment at the free end. The first step is constructing a free-body diagram to calculate the reactions at the fixed end. Next, the bending moment diagram is plotted to visualize how the bending moment varies along the beam's length, focusing on points where the bending moment equals zero.
The M/EI...
551

You might also read

Related Articles

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

Sort by
Same author

Classical annealing of the Sherrington-Kirkpatrick spin glass using Suzuki-Kubo mean-field Ising dynamics.

Physical review. E·2025
Same author

Inequalities of energy release rates in compression of nanoporous materials predict its imminent breakdown.

Physical review. E·2025
Same author

Avalanche shapes in the fiber bundle model.

Physical review. E·2024
Same author

Q factor: A measure of competition between the topper and the average in percolation and in self-organized criticality.

Physical review. E·2024
Same author

Prediction of depinning transitions in interface models using Gini and Kolkata indices.

Physical review. E·2024
Same author

Finding critical points and correlation length exponents using finite size scaling of Gini index.

Physical review. E·2024
Same journal

Tension on dsDNA bound to ssDNA-RecA filaments may play an important role in driving efficient and accurate homology recognition and strand exchange.

Physical review. E, Statistical, nonlinear, and soft matter physics·2016
Same journal

Publisher's Note: Amplitude-phase coupling drives chimera states in globally coupled laser networks [Phys. Rev. E 91, 040901(R) (2015)].

Physical review. E, Statistical, nonlinear, and soft matter physics·2016
Same journal

Erratum: Shapes of sedimenting soft elastic capsules in a viscous fluid [Phys. Rev. E 92, 033003 (2015)].

Physical review. E, Statistical, nonlinear, and soft matter physics·2016
Same journal

Erratum: Attenuation of excitation decay rate due to collective effect [Phys. Rev. E 90, 022142 (2014)].

Physical review. E, Statistical, nonlinear, and soft matter physics·2016
Same journal

Publisher's Note: Role of connectivity and fluctuations in the nucleation of calcium waves in cardiac cells [Phys. Rev. E 92, 052715 (2015)].

Physical review. E, Statistical, nonlinear, and soft matter physics·2016
Same journal

Publisher's Note: Lattice Boltzmann approach for complex nonequilibrium flows [Phys. Rev. E 92, 043308 (2015)].

Physical review. E, Statistical, nonlinear, and soft matter physics·2016
See all related articles

Related Experiment Video

Updated: May 6, 2026

Reconstituting and Characterizing Actin-Microtubule Composites with Tunable Motor-Driven Dynamics and Mechanics
09:10

Reconstituting and Characterizing Actin-Microtubule Composites with Tunable Motor-Driven Dynamics and Mechanics

Published on: August 25, 2022

5.3K

Self-organized dynamics in local load-sharing fiber bundle models.

Soumyajyoti Biswas1, Bikas K Chakrabarti

  • 1Condensed Matter Physics Division, Saha Institute of Nuclear Physics, 1/AF Bidhannagar, Kolkata 700064, India.

Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics
|November 16, 2013
PubMed
Summary
This summary is machine-generated.

This study explores a 2D fiber bundle model with local load sharing. It reveals self-organized critical behavior, showing scale-free avalanche distributions and predictable load dynamics under increasing stress.

More Related Videos

Finite Element Modelling of a Cellular Electric Microenvironment
08:23

Finite Element Modelling of a Cellular Electric Microenvironment

Published on: May 18, 2021

4.2K
Cutting Procedures, Tensile Testing, and Ageing of Flexible Unidirectional Composite Laminates
07:53

Cutting Procedures, Tensile Testing, and Ageing of Flexible Unidirectional Composite Laminates

Published on: April 27, 2019

7.6K

Related Experiment Videos

Last Updated: May 6, 2026

Reconstituting and Characterizing Actin-Microtubule Composites with Tunable Motor-Driven Dynamics and Mechanics
09:10

Reconstituting and Characterizing Actin-Microtubule Composites with Tunable Motor-Driven Dynamics and Mechanics

Published on: August 25, 2022

5.3K
Finite Element Modelling of a Cellular Electric Microenvironment
08:23

Finite Element Modelling of a Cellular Electric Microenvironment

Published on: May 18, 2021

4.2K
Cutting Procedures, Tensile Testing, and Ageing of Flexible Unidirectional Composite Laminates
07:53

Cutting Procedures, Tensile Testing, and Ageing of Flexible Unidirectional Composite Laminates

Published on: April 27, 2019

7.6K

Area of Science:

  • Physics
  • Materials Science
  • Statistical Mechanics

Background:

  • Fiber bundle models are crucial for understanding material failure.
  • Local load-sharing mechanisms significantly influence failure dynamics.
  • Self-organized criticality (SOC) is a key concept in complex systems.

Purpose of the Study:

  • To investigate the dynamics of a 2D local load-sharing fiber bundle model.
  • To analyze the emergence of self-organized critical behavior under external load.
  • To compare model behavior with existing models like the Manna model.

Main Methods:

  • Simulating a 2D fiber bundle model with a single point load application.
  • Implementing local load-sharing rules for broken fibers.
  • Analyzing load redistribution along the boundary of the damaged region.
  • Calculating avalanche size distributions and other critical exponents.

Main Results:

  • The system self-organizes into a critical state with localized load redistribution.
  • Scale-free distributions of avalanche sizes were observed.
  • Numerical exponents align with the Manna model for nearest-neighbor load sharing.
  • A mean-field limit was identified for uniform load redistribution along the patch boundary.

Conclusions:

  • Local load sharing in fiber bundles leads to self-organized criticality.
  • The model provides insights into material failure and complex system dynamics.
  • Analytical estimates for saturation load and avalanche exponents agree with simulations.