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

Elastic Strain Energy for Shearing Stresses01:20

Elastic Strain Energy for Shearing Stresses

347
As discussed in previous lessons, strain energy in a material is the energy stored when it is elastically deformed, a concept crucial in materials science and mechanical engineering. This energy results from the internal work done against the cohesive forces within the material. When a material undergoes shearing stress and corresponding shearing strain, the strain energy density, which is the energy stored per unit volume, is calculated. Within the elastic limit, where the stress is...
347
Members Made of Elastoplastic Material01:19

Members Made of Elastoplastic Material

232
The behavior of elastoplastic materials under bending stresses, particularly in structural members with rectangular cross-sections, is crucial for predicting material responses and understanding failure modes. Initially, when a bending moment is applied, the stress distribution across the section follows Hooke's Law and is linear and elastic. This distribution means the stress increases from the neutral axis to the maximum at the outer fibers, up to the elastic limit.
As the bending moment...
232
Strain and Elastic Modulus01:15

Strain and Elastic Modulus

5.9K
The quantity that describes the deformation of a body under stress is known as strain. Strain is given as a fractional change in either length, volume, or geometry under tensile, volume (also known as bulk), or shear stress, respectively, and is a dimensionless quantity. The strain experienced by a body under tensile or compressive stress is called tensile or compressive strain, respectively. In contrast, the strain experienced under bulk stress and shear stress is known as volume and shear...
5.9K
Relation between Poisson's ratio, Modulus of Elasticity and Modulus of Rigidity01:15

Relation between Poisson's ratio, Modulus of Elasticity and Modulus of Rigidity

388
Deformation occurs in axial and transverse directions when an axial load is applied to a slender bar. This deformation impacts the cubic element within the bar, transforming it into either a rectangular parallelepiped or a rhombus, contingent on its orientation. This transformation process induces shearing strain. Axial loading elicits both shearing and normal strains. Applying an axial load instigates equal normal and shearing stresses on elements oriented at a 45° angle to the load axis.
388
Elastin is Responsible for Tissue Elasticity01:12

Elastin is Responsible for Tissue Elasticity

2.7K
Elastic fiber contains the protein elastin along with lesser amounts of other proteins and glycoproteins. The main property of elastin is that it will return to its original shape after being stretched or compressed. Elastic fibers are prominent in elastic tissues found in skin and the elastic ligaments of the vertebral column.
Ligaments and tendons are made of dense regular connective tissue, but in ligaments not all fibers are parallel. Dense regular elastic tissue contains elastin fibers and...
2.7K
Dynamic Modulus of Elasticity of Concrete01:16

Dynamic Modulus of Elasticity of Concrete

657
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...
657

You might also read

Related Articles

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

Sort by
Same author

Cellular therapy in mantle cell lymphoma: recommendations from the EBMT practice harmonisation and guidelines committee.

Bone marrow transplantation·2026
Same author

Spatial and multi-omic profiling reveals pericyte-derived CCL19 as a key prognostic factor in CNS lymphoma.

HemaSphere·2026
Same author

High-risk single-refractory and double-refractory chronic lymphocytic leukemia: feasibility and impact of alloHCT.

Blood advances·2026
Same author

Treatment intensification does not improve outcomes beyond rituximab-based therapy in primary mediastinal B-cell lymphoma: a multicenter retrospective analysis.

Leukemia & lymphoma·2026
Same author

Prognostic impact of bone marrow iron and serum ferritin in patients with myelodysplastic syndromes.

Annals of hematology·2026
Same author

Updated consensus guidelines for the diagnosis and management of patients with HCL and HCL variant.

Blood·2026

Related Experiment Video

Updated: Nov 7, 2025

Sample Preparation in Quartz Crystal Microbalance Measurements of Protein Adsorption and Polymer Mechanics
08:21

Sample Preparation in Quartz Crystal Microbalance Measurements of Protein Adsorption and Polymer Mechanics

Published on: January 22, 2020

13.8K

Simulation of Leather Visco-Elastic Behavior Based on Collagen Fiber-Bundle Properties and a Meso-Structure Network

Sascha Dietrich1, Olga Lykhachova2, Xiaoyin Cheng3

  • 1FILK Freiberg Institute gGmbH, Meißner Ring 1-5, 09599 Freiberg, Germany.

Materials (Basel, Switzerland)
|April 30, 2021
PubMed
Summary

This study introduces a simulation workflow to predict leather mechanical properties, overcoming natural material variability. The validated method enables accurate quality assessment through multi-scale simulation of elastic and viscoelastic behaviors.

Keywords:
FEMVoronoi tessellationcollagen fiber-bundleshierarchical leather structuremicro computed tomographymicroscopy imaging techniquesmulti-scale simulationstress-strain experiments

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

3.7K
Viscoelastic Characterization of Soft Tissue-Mimicking Gelatin Phantoms using Indentation and Magnetic Resonance Elastography
07:57

Viscoelastic Characterization of Soft Tissue-Mimicking Gelatin Phantoms using Indentation and Magnetic Resonance Elastography

Published on: May 10, 2022

2.3K

Related Experiment Videos

Last Updated: Nov 7, 2025

Sample Preparation in Quartz Crystal Microbalance Measurements of Protein Adsorption and Polymer Mechanics
08:21

Sample Preparation in Quartz Crystal Microbalance Measurements of Protein Adsorption and Polymer Mechanics

Published on: January 22, 2020

13.8K
Finite Element Modelling of a Cellular Electric Microenvironment
08:23

Finite Element Modelling of a Cellular Electric Microenvironment

Published on: May 18, 2021

3.7K
Viscoelastic Characterization of Soft Tissue-Mimicking Gelatin Phantoms using Indentation and Magnetic Resonance Elastography
07:57

Viscoelastic Characterization of Soft Tissue-Mimicking Gelatin Phantoms using Indentation and Magnetic Resonance Elastography

Published on: May 10, 2022

2.3K

Area of Science:

  • Materials Science
  • Computational Mechanics
  • Biomaterials Engineering

Background:

  • Predicting mechanical properties of materials is crucial for applications, but challenging for natural materials like leather due to inherent variability and complex structures.
  • Current methods for man-made materials are advanced, but leather's intricate meso-scale fiber architecture poses significant hurdles for accurate simulation-based property prediction.
  • Understanding and modeling leather's complex structure is key to unlocking its potential through advanced computational analysis.

Purpose of the Study:

  • To develop and validate a simulation-based workflow for predicting the elastic and viscoelastic properties of leather.
  • To address the challenges posed by leather's natural variability and intricate meso-scale structure in mechanical property prediction.
  • To establish a robust method for assessing leather quality using multi-scale simulation.

Main Methods:

  • Deriving essential geometric features from 3D micro-computed tomography images to create a parameterizable structural model of leather's fiber-bundle architecture.
  • Integrating bundle properties obtained from tensile tests with the structural model.
  • Performing numerical simulations of effective leather viscoelastic properties using a finite element representation of the bundle structure model, incorporating sliding contacts between bundles.

Main Results:

  • Successfully established and validated a complete workflow for assessing leather quality via multi-scale simulation of elastic and viscoelastic properties.
  • The simulation results were experimentally validated across different animal types, tanning procedures, and sample positions within the hide.
  • Demonstrated the feasibility of predicting leather mechanical properties by modeling its meso-scale fiber-bundle structure.

Conclusions:

  • The developed multi-scale simulation workflow provides a reliable method for predicting leather's mechanical properties.
  • This approach effectively overcomes the limitations imposed by leather's natural variability and complex structure.
  • The validated workflow offers a powerful tool for optimizing leather selection, treatment, and quality assessment.