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

Method of Joints: Problem Solving II01:30

Method of Joints: Problem Solving II

1.7K
Consider a truss structure with frictionless joints fixed to a wall and roller support. If a force of 150 N is applied to joint A, the forces in each member of the truss can be determined using the method of joints.
1.7K
Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving01:29

Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving

438
Mechanistic models play a crucial role in algorithms for numerical problem-solving, particularly in nonlinear mixed effects modeling (NMEM). These models aim to minimize specific objective functions by evaluating various parameter estimates, leading to the development of systematic algorithms. In some cases, linearization techniques approximate the model using linear equations.
In individual population analyses, different algorithms are employed, such as Cauchy's method, which uses a...
438
Structural Classification of Joints01:20

Structural Classification of Joints

8.0K
Joints, also known as articulations, are classified based on their structural characteristics, i.e., based on whether the articulating surfaces of the adjacent bones are directly connected by fibrous connective tissue or cartilage, or whether the articulating surfaces contact each other within a fluid-filled joint cavity. These differences serve to divide the joints of the body into three structural classifications.
A fibrous joint is where the adjacent bones are united by fibrous connective...
8.0K
Dynamic Modulus of Elasticity of Concrete01:16

Dynamic Modulus of Elasticity of Concrete

1.3K
The dynamic modulus of elasticity assesses how a concrete structure deforms under impact or dynamic loads. It is typically higher than the static modulus of elasticity, measured under slow, steady loading conditions.
The sonic test is a common method to determine the dynamic modulus. In this test, a concrete beam, sized either 6 x 6 x 30 inches or 4 x 4 x 20 inches, is clamped at its center. Vibrations are initiated at one end of the beam by an electromagnetic exciter unit powered by a...
1.3K
Method of Joints: Problem Solving I01:30

Method of Joints: Problem Solving I

1.9K
The method of joints is a commonly used technique to analyze the forces in structural trusses. The method is based on the principle of equilibrium, which assumes that the truss members are connected by frictionless pins. The forces at each joint can be determined by considering the equilibrium of the forces acting on that joint. Consider a truss structure with two forces of 20 N and 10 N acting at joints C and D, respectively. The method of joints can be used to determine the forces FCB, FDC,...
1.9K
Method of Joints01:30

Method of Joints

2.0K
The method of joints is a commonly used technique to analyze the forces in structural trusses. The method is based on the principle of equilibrium, which assumes that the truss members are connected by frictionless pins. The forces at each joint can be determined by considering the equilibrium of the forces acting on that joint.
Since plane truss members are in the same plane, each joint is subjected to a coplanar and concurrent force system. To apply the method of joints, the first step is to...
2.0K

You might also read

Related Articles

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

Sort by
Same author

Quantifying Structure-Property Relationships in Ferroelectric Polymers Toward High-Performance Soft Robots.

Advanced science (Weinheim, Baden-Wurttemberg, Germany)·2026
Same author

Stage-Specific Drivers of Carbon-Sequestration Dynamics in <i>Porphyra</i> Mariculture and Responses to Global Warming.

Environmental science & technology·2025
Same author

Solid-state nanopore fabrication via controlled dielectric breakdown: Progress and prospects.

Advances in colloid and interface science·2025
Same author

Engagement patterns of middle school students with AI teachable agents in mathematics learning.

Scientific reports·2025
Same author

Electroactive Properties of PVDF-Based Ferroelectric Polymers: A Review.

Macromolecular rapid communications·2025
Same author

A Versatile "Sample-in-Answer-Out" Microfluidic System for Combined Detection of Multi-Functional Forensic Human Genetic Markers.

Small (Weinheim an der Bergstrasse, Germany)·2025

Related Experiment Video

Updated: May 1, 2026

Kinematic History of a Salient-recess Junction Explored through a Combined Approach of Field Data and Analog Sandbox Modeling
06:55

Kinematic History of a Salient-recess Junction Explored through a Combined Approach of Field Data and Analog Sandbox Modeling

Published on: August 5, 2016

7.3K

Numerical built-in method for the nonlinear JRC/JCS model in rock joint.

Qunyi Liu1, Wanli Xing1, Ying Li1

  • 1Institute of Mineral Resources, Chinese Academy of Geological Sciences, Beijing 100037, China.

Thescientificworldjournal
|April 3, 2014
PubMed
Summary

This study introduces a numerical program for the nonlinear JRC/JCS joint model, improving rock mass strength analysis. The model accurately reflects joint characteristics, outperforming linear approaches in simulations and shear tests.

More Related Videos

Subject-specific Musculoskeletal Model for Studying Bone Strain During Dynamic Motion
09:32

Subject-specific Musculoskeletal Model for Studying Bone Strain During Dynamic Motion

Published on: April 11, 2018

9.6K
Experimental Methods to Study Human Postural Control
08:12

Experimental Methods to Study Human Postural Control

Published on: September 11, 2019

9.1K

Related Experiment Videos

Last Updated: May 1, 2026

Kinematic History of a Salient-recess Junction Explored through a Combined Approach of Field Data and Analog Sandbox Modeling
06:55

Kinematic History of a Salient-recess Junction Explored through a Combined Approach of Field Data and Analog Sandbox Modeling

Published on: August 5, 2016

7.3K
Subject-specific Musculoskeletal Model for Studying Bone Strain During Dynamic Motion
09:32

Subject-specific Musculoskeletal Model for Studying Bone Strain During Dynamic Motion

Published on: April 11, 2018

9.6K
Experimental Methods to Study Human Postural Control
08:12

Experimental Methods to Study Human Postural Control

Published on: September 11, 2019

9.1K

Area of Science:

  • Geotechnical Engineering
  • Rock Mechanics
  • Computational Geology

Background:

  • Rock mass strength is nonlinear due to ubiquitous joint surfaces, limiting linear model effectiveness.
  • The Joint Roughness Coefficient/Joint Compressive Strength (JRC/JCS) model offers a superior nonlinear failure criterion for jointed rock masses.

Purpose of the Study:

  • To develop a numerical program for the JRC/JCS model.
  • To establish the relationship between JRC/JCS and Mohr-Coulomb model parameters.
  • To analyze the influence of JRC/JCS parameters on joint shear strength.

Main Methods:

  • Established parameter correlations between JRC/JCS and Mohr-Coulomb models.
  • Developed and discussed the numerical implementation of the JRC/JCS model.
  • Verified the numerical method's reliability using shear tests on jointed rock mass.

Main Results:

  • Successfully developed a numerical program for the JRC/JCS model.
  • Validated the numerical approach through experimental shear tests.
  • Quantified the impact of JRC/JCS parameters on shear strength.

Conclusions:

  • The JRC/JCS model provides a more accurate representation of jointed rock mass behavior than linear models.
  • The developed numerical program is reliable for simulating JRC/JCS model behavior.
  • Understanding JRC/JCS parameter effects is crucial for predicting rock mass shear strength.