Topology optimization of 2D structures with nonlinearities using deep learning

Keyphrases

• Nonlinearity 100%
• Topology Optimization 100%
• Design Optimization 100%
• 2D Structure 100%
• Deep Learning 100%
• Boundary Load 66%
• Elastic Response 33%
• Computation Time 33%
• Structural Design 33%
• Nonlinear Elasticity 33%
• Material Design 33%
• Linear Elastic 33%
• Machining Simulation 33%
• Nonlinear Mechanics 33%
• Neural Network Model 33%
• Hyperelastic 33%
• Material Nonlinearity 33%
• Iterative Scheme 33%
• High Performance Computing 33%
• Optimization Framework 33%
• Machine Learning 33%
• Neo-Hookean Model 33%
• Stress Constraints 33%
• Geometric Nonlinearity 33%
• Nonlinear Structures 33%
• Cloud Computing 33%
• Computing Machines 33%
• Design Domain 33%
• Architected Materials 33%
• Linear Elastic Elements 33%
• Optimization Constraints 33%
• Boundary Constraint 33%
• Load Constraints 33%
• Convolutional Neural Network Model 33%
• Condition Constraint 33%
• Boundary Optimization 33%

Engineering

• Optimised Design 100%
• Nonlinearity 100%
• Deep Learning Method 100%
• Network Model 66%
• Boundary Condition 66%
• Structural Design 33%
• Elastic Response 33%
• Elastic Case 33%
• Nonlinear Mechanics 33%
• Optimal Design 33%
• Computational Time 33%
• Stress Constraint 33%
• Elastic Structure 33%
• Geometric Nonlinearity 33%
• Material Nonlinearity 33%
• Cloud Computing 33%
• Design Domain 33%
• Optimization Constraint 33%
• Learning System 33%
• Convolutional Neural Network 33%