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

Yield Criteria for Ductile Materials under Plane Stress01:25

Yield Criteria for Ductile Materials under Plane Stress

140
In designing structural elements and machine parts using ductile materials, it is crucial to ensure that these components withstand applied stresses without yielding. Yielding is initially determined through a tensile test, which evaluates the material's response to uniaxial stress. However, tensile stress is insufficient when components face biaxial or plane stress conditions This condition requires advanced criteria to predict failure.
The Maximum Shearing Stress Criterion, also known as...
140
Plastic Behavior01:21

Plastic Behavior

185
A material's elastic behavior is characterized by the disappearance of stress once the load is removed, allowing the material to return to its original state. However, when stress surpasses the yield point, yielding commences, marking the onset of plastic deformation or permanent set. This change from elastic to plastic behavior is influenced by the peak stress value and the duration before the load is removed. An intriguing observation occurs when a specimen is loaded, unloaded, and...
185
Stress-Strain Diagram - Ductile Materials01:24

Stress-Strain Diagram - Ductile Materials

597
The stress-strain relationship in ductile materials such as structural steel or aluminium is intricate and progresses through several stages. When a specimen is loaded, it initially exhibits a linear length increase, depicted by a steep straight line on the stress-strain diagram. It indicates the material is elastically deforming and will return to its original shape once unloaded. However, when a critical stress value is reached, plastic deformation begins. This stage sees substantial...
597
Plastic Deformations01:14

Plastic Deformations

81
It is essential to understand how structural members behave under plastic deformation when the bending stress exceeds the material's yield strength. This state of deformation permanently alters the shape of the member, in contrast to the linear elastic behavior observed before yielding. The strain at any point in the member is expressed in terms of maximum strain. Notably, the neutral axis, which coincides with the centroid during elastic bending, shifts away from the centroid under plastic...
81
Generalized Hooke's Law01:22

Generalized Hooke's Law

789
The generalized Hooke's Law is a broadened version of Hooke's Law, which extends to all types of stress and in every direction. Consider an isotropic material shaped into a cube subjected to multiaxial loading. In this scenario, normal stresses are exerted along the three coordinate axes. As a result of these stresses, the cubic shape deforms into a rectangular parallelepiped. Despite this deformation, the new shape maintains equal sides, and there is a normal strain in the direction of the...
789
Hooke's Law01:26

Hooke's Law

342
Hooke's law, a pivotal principle in material science, establishes that the strain a material undergoes is directly proportional to the applied stress, defined by a factor called the modulus of elasticity or Young's modulus.
342

You might also read

Related Articles

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

Sort by
Same author

Real-World Evidence on the Efficacy of Icaritin for Unresectable Advanced Hepatocellular Carcinoma: A Multicenter Retrospective Study.

International journal of cancer·2026
Same author

Advancing microfluidic nerve-on-a-chip systems: From physiological simulation to disease modeling.

Biomaterials advances·2026
Same author

Sodium butyrate induces cuproptosis by regulating the HDAC1-SLC31A1 axis in hepatocellular carcinoma.

Food and chemical toxicology : an international journal published for the British Industrial Biological Research Association·2026
Same author

Multisite Coadsorption of the *OOH Intermediate on NiFeOOH Hierarchical Nanosheet Arrays Boost Water Electro-Oxidation at Ultrahigh Current Densities.

ACS applied materials & interfaces·2026
Same author

Regulating intermolecular interaction of passivators for controllable surface energetics of photovoltaic perovskites.

Science advances·2026
Same author

Identification of CD4+ T Cell-Related Biomarkers and Mechanisms for Hepatoma.

Combinatorial chemistry & high throughput screening·2026
Same journal

Correction: Yang et al. Microstructural Characteristics of High-Pressure Die Casting with High Strength-Ductility Synergy Properties: A Review. <i>Materials</i> 2023, <i>16</i>, 1954.

Materials (Basel, Switzerland)·2026
Same journal

Effect of La and Ce Microalloying on the Corrosion Resistance of 0.4Sb Low-Alloy Steel in a Harsh Marine Atmospheric Environment.

Materials (Basel, Switzerland)·2026
Same journal

High-Temperature Properties of Magnesium Ammonium Phosphate Cement Modified with Gold Tailings.

Materials (Basel, Switzerland)·2026
Same journal

A Study on the Evolution of Intermetallic Phase Microstructure and High-Temperature Creep Behavior in Mg-8.0Al-1.0Nd-1.5Gd-Mn Alloys.

Materials (Basel, Switzerland)·2026
Same journal

Material-Driven Clinical Complications in Mechanical Circulatory Support: From Blood-Material Interactions to Device-Related Adverse Events.

Materials (Basel, Switzerland)·2026
Same journal

Influence of Final Irrigation on Calcium Silicate-Based Sealer Dentinal Tubular Penetration: A Systematic Review.

Materials (Basel, Switzerland)·2026
See all related articles

Related Experiment Video

Updated: May 28, 2025

Anatomically Inspired Three-dimensional Micro-tissue Engineered Neural Networks for Nervous System Reconstruction, Modulation, and Modeling
10:45

Anatomically Inspired Three-dimensional Micro-tissue Engineered Neural Networks for Nervous System Reconstruction, Modulation, and Modeling

Published on: May 31, 2017

12.9K

Multi-Scale Anisotropic Yield Function Based on Neural Network Model.

Hongchun Shang1,2, Lanjie Niu1,2, Zhongwang Tian1,2

  • 1Science and Technology on Electromechanical Dynamic Control Laboratory, Xi'an 710065, China.

Materials (Basel, Switzerland)
|February 13, 2025
PubMed
Summary
This summary is machine-generated.

A new fully connected neural network (FCNN) model simplifies anisotropic yield function calibration for aluminum alloys. This approach enhances finite element analysis by accurately predicting material anisotropy.

Keywords:
anisotropic yield functioncrystal plasticityfinite element analysismulti-scale modelingneural network

More Related Videos

Surrogate Model Development for Digital Experiments in Welding
09:17

Surrogate Model Development for Digital Experiments in Welding

Published on: March 28, 2025

672
Computational Modeling of Retinal Neurons for Visual Prosthesis Research - Fundamental Approaches
10:50

Computational Modeling of Retinal Neurons for Visual Prosthesis Research - Fundamental Approaches

Published on: June 21, 2022

1.6K

Related Experiment Videos

Last Updated: May 28, 2025

Anatomically Inspired Three-dimensional Micro-tissue Engineered Neural Networks for Nervous System Reconstruction, Modulation, and Modeling
10:45

Anatomically Inspired Three-dimensional Micro-tissue Engineered Neural Networks for Nervous System Reconstruction, Modulation, and Modeling

Published on: May 31, 2017

12.9K
Surrogate Model Development for Digital Experiments in Welding
09:17

Surrogate Model Development for Digital Experiments in Welding

Published on: March 28, 2025

672
Computational Modeling of Retinal Neurons for Visual Prosthesis Research - Fundamental Approaches
10:50

Computational Modeling of Retinal Neurons for Visual Prosthesis Research - Fundamental Approaches

Published on: June 21, 2022

1.6K

Area of Science:

  • Materials Science
  • Computational Mechanics
  • Machine Learning

Background:

  • Traditional anisotropic yield functions present challenges in parameter calibration and finite element (FE) applications.
  • A unified model is needed for engineering applications to address the complexity of anisotropic material behavior.

Purpose of the Study:

  • To develop and validate a fully connected neural network (FCNN) model for predicting anisotropic yield surfaces.
  • To compare the FCNN model's performance against traditional models for 2090-T3 aluminum alloy.
  • To create a unified anisotropic yield function subroutine for FE analysis.

Main Methods:

  • Calibration of four traditional anisotropic models for 2090-T3 aluminum alloy.
  • Utilizing FCNN with stress components (α, β) as inputs and anisotropy parameter (r) as output.
  • Generating datasets via crystal plasticity finite element (CPFE) simulations for diverse stress states and loading directions.

Main Results:

  • The FCNN model accurately predicts anisotropic characteristics of 2090-T3 aluminum alloy.
  • FCNN predictions align well with traditional model calibration results.
  • CPFE simulations confirm the FCNN model's capability to model anisotropic behaviors.

Conclusions:

  • The FCNN-based anisotropic yield function offers a unified approach, simplifying subroutine development.
  • This FCNN model effectively captures complex anisotropic material behaviors for engineering applications.
  • The developed FCNN subroutine enhances the modeling of anisotropic behaviors in finite element analysis.