A deep learning energy-based method for classical elastoplasticity

Keyphrases

• Consistency Condition 16%
• Cyclic Loading 16%
• Deep Energy Method 100%
• Deep Learning 100%
• Deep Neural Network 16%
• Elastic Deformation 16%
• Elasticity Gradient 16%
• Elastoplasticity 100%
• Element Shape Function 16%
• Energy Method 100%
• Energy-based 16%
• Finite Element 16%
• Finite Element Method 16%
• Gauss Quadrature 16%
• Hyperelasticity 16%
• Internal State Variable 16%
• Linear Elasticity 16%
• Linear Strain 16%
• Loss Function 33%
• Material Heterogeneity 16%
• Material Model 16%
• Minimum Potential Energy Principle 16%
• Numerical Examples 16%
• Path Dependence 16%
• Performance Comparison 16%
• Physics-based Method 16%
• Physics-informed Neural Networks 16%
• Radial Return Algorithm 16%
• Simulation-based Inference 16%
• Spatial Gradient 16%
• Strain Gradient Elasticity 16%
• Stress-strain Curve 16%
• Structure Deformation 16%
• Unstructured Mesh 16%
• Variational Formulation 16%

Engineering

• Based Material Model 16%
• Consistency Condition 16%
• Cyclic Loading 16%
• Deep Learning Method 100%
• Deep Neural Network 16%
• Deformation of Structure 16%
• Elastic Deformation 16%
• Element Shape Function 16%
• Energy Method 100%
• Finite Element Analysis 33%
• Gaussian Quadrature Rule 16%
• Internal State Variable 16%
• Irreversibility 16%
• Linear Elasticity 16%
• Loss Function 33%
• Minimum Potential Energy 16%
• Numerical Example 16%
• Physics Informed Neural Network 16%
• Reference Solution 16%
• Strain Gradient 16%

Material Science

• Elastic Deformation 33%
• Elasticity 66%
• Elastoplasticity 100%
• Finite Element Method 66%