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

Cable Subjected to a Distributed Load01:24

Cable Subjected to a Distributed Load

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.
Transmission Line Design Considerations01:23

Transmission Line Design Considerations

Aluminum has become the material of choice for overhead transmission lines, surpassing copper due to its abundance and cost-effectiveness. The most prevalent type is the aluminum conductor, steel-reinforced (ACSR), which combines aluminum strands around a steel core. Other variants include all-aluminum conductors (AAC), all-aluminum alloy conductors (AAAC), aluminum conductor alloy-reinforced (ACAR), and aluminum-clad steel conductors. Advanced designs, such as aluminum conductors with steel...
Cable Subjected to Concentrated Loads01:28

Cable Subjected to Concentrated Loads

Flexible cables are commonly used in various applications for support and load transmission. Consider a cable fixed at two points and subjected to multiple vertically concentrated loads. Determine the shape of the cable and the tension in each portion of the cable, given the horizontal distances between the loads and supports.

You might also read

Related Articles

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

Sort by
Same author

The Ontogeny of Mouse Salivary Gland Macrophages Is Distinct between Sexes.

Journal of dental research·2026
Same author

Evaluation of the parallel coupling constitutive model for biomaterials using a fully coupled network-matrix model.

Journal of the mechanical behavior of biomedical materials·2024
Same author

Emergence of an apparent yield phenomenon in the mechanics of stochastic networks with inter-fiber cohesion.

Soft matter·2023
Same author

Stiffening mechanisms in stochastic athermal fiber networks.

Physical review. E·2023
Same author

A Salivary Gland Resident Macrophage Subset Regulating Radiation Responses.

Journal of dental research·2023
Same author

Toughness of Network Materials: Structural Parameters Controlling Damage Accumulation.

Journal of the mechanics and physics of solids·2022

Related Experiment Video

Updated: May 18, 2026

Microfluidic Fabrication of Polymeric and Biohybrid Fibers with Predesigned Size and Shape
07:38

Microfluidic Fabrication of Polymeric and Biohybrid Fibers with Predesigned Size and Shape

Published on: January 8, 2014

Model selection for athermal cross-linked fiber networks.

A Shahsavari1, R C Picu

  • 1Department of Mechanical, Aerospace and Nuclear Engineering, Rensselaer Polytechnic Institute, Troy, New York 12180, USA.

Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics
|September 26, 2012
PubMed
Summary
This summary is machine-generated.

This study compares fiber network models, finding Timoshenko beams suitable for all densities, while Euler-Bernoulli beams are limited to low densities. Strain energy storage depends on network parameters and beam stiffness.

More Related Videos

Design and Fabrication of an Optical Fiber Made of Water
08:06

Design and Fabrication of an Optical Fiber Made of Water

Published on: November 8, 2018

Fiber Optic Distributed Sensors for High-resolution Temperature Field Mapping
09:48

Fiber Optic Distributed Sensors for High-resolution Temperature Field Mapping

Published on: November 7, 2016

Related Experiment Videos

Last Updated: May 18, 2026

Microfluidic Fabrication of Polymeric and Biohybrid Fibers with Predesigned Size and Shape
07:38

Microfluidic Fabrication of Polymeric and Biohybrid Fibers with Predesigned Size and Shape

Published on: January 8, 2014

Design and Fabrication of an Optical Fiber Made of Water
08:06

Design and Fabrication of an Optical Fiber Made of Water

Published on: November 8, 2018

Fiber Optic Distributed Sensors for High-resolution Temperature Field Mapping
09:48

Fiber Optic Distributed Sensors for High-resolution Temperature Field Mapping

Published on: November 7, 2016

Area of Science:

  • Materials Science
  • Mechanical Engineering
  • Polymer Physics

Background:

  • Athermal random fiber networks are commonly modeled using simplified representations of fibers and cross-links.
  • Existing models often employ truss, Euler-Bernoulli beam, or Timoshenko beam elements for fibers, and various joint types for cross-links.

Purpose of the Study:

  • To investigate the impact of different fiber and cross-link modeling choices on the overall stiffness of athermal random fiber networks.
  • To determine how system parameters influence network stiffness under various modeling assumptions.

Main Methods:

  • Comparative analysis of different mechanical models for fibers (truss, Euler-Bernoulli beam, Timoshenko beam) and cross-links (pinned, rotating, welded).
  • Examination of the dependence of network stiffness on parameters such as network density and beam stiffness.

Main Results:

  • Timoshenko beam models are applicable across the full spectrum of network density and beam stiffness parameters.
  • Euler-Bernoulli beam models are accurate only at relatively low network densities.
  • Strain energy storage shifts between axial/shear modes (high density/stiffness) and bending modes (low density/stiffness).

Conclusions:

  • The choice of beam model significantly affects the predicted stiffness of fiber networks.
  • Timoshenko beams offer a more universally applicable model for fiber network analysis.
  • Understanding strain energy distribution is crucial for accurate modeling across different parameter regimes.