Designing impact-resistant bio-inspired low-porosity structures using neural networks

Keyphrases

• Neural Network 100%
• Bio-inspired 100%
• Design Space 100%
• Low Porosity 100%
• Porosity Structure 100%
• Impact Resistance 100%
• Gated Recurrent Unit Model 66%
• Porosity 33%
• Finite Element Method 33%
• Volume Fraction 33%
• Two Dimensional 33%
• Applied Strain 33%
• Rate Dependence 33%
• Strain Rate 33%
• Structure-property Relationships 33%
• Structural Design 33%
• Material Model 33%
• Excellent Mechanical Properties 33%
• Plane Strain 33%
• Energy Absorption 33%
• Specific Absorption Rate 33%
• High Toughness 33%
• Common Themes 33%
• Radial Direction 33%
• Stress-strain Curve 33%
• Parameterized Model 33%
• Performance Evaluation 33%
• Model Use 33%
• Structure Stress 33%
• Strain Energy 33%
• Stress-strain Response 33%
• Varying number 33%
• Orientation Angle 33%
• Longitudinal Direction 33%
• Number of Rows 33%
• Elastoplastic Material 33%
• Design Trends 33%
• Transverse Compression 33%
• Diverse Design 33%
• Nature-inspired Design 33%
• Antler 33%
• Hoof Wall 33%
• Gated Recurrent Unit 33%
• High-performance Structures 33%
• Sheep Horn 33%

Engineering

• Design Space 100%
• Recurrent 100%
• Porosity 100%
• Structural Design 33%
• Cross Section 33%
• Two Dimensional 33%
• Applied Strain 33%
• Strain Rate 33%
• Material Model 33%
• Plane Strain Condition 33%
• Radial Direction 33%
• Stress-Strain Curve 33%
• Structure Stress 33%
• Strain Energy 33%
• Stress-Strain Relations 33%
• Longitudinal Direction 33%
• Specific Energy Absorption 33%
• Angle of Orientation 33%
• Finite Element Analysis 33%
• Energy Absorption 33%