Convolutional Dimension-Reduction With Knowledge Reasoning for Reliability Approximations of Structures Under High-Dimensional Spatial Uncertainties

Keyphrases

• Dimensionality Reduction 100%
• Knowledge Reasoning 100%
• Spatial Uncertainty 100%
• Convolutional 100%
• Reliability Approximation 100%
• Uncertainty Quantification 50%
• Surrogate Model 50%
• Latent Space 50%
• Loss Regularization 50%
• Structural Response 25%
• Linear Regression Model 25%
• Spatial Data 25%
• Monte Carlo Method 25%
• Evaluation Model 25%
• Reliability Assessment 25%
• Forward Model 25%
• High Dimension 25%
• Evolutionary Algorithms 25%
• Varied Parameters 25%
• Material Composition 25%
• Rapid Advancement 25%
• 3D Printing Materials 25%
• Regularization Algorithm 25%
• 2D Structure 25%
• Depthwise Separable Convolution 25%
• Space Knowledge 25%
• Direct Monte Carlo 25%
• Quantification Assessment 25%
• Additive Technologies 25%
• 3D Printed Structure 25%

Engineering

• Uncertainty Quantification 100%
• Reduction Network 100%
• Regularization 100%
• Additive Manufacturing Technology 50%
• Convergent 50%
• Printed Material 50%
• Printed Structure 50%
• Reliability Assessment 50%
• Material Composition 50%
• Dimensionality 50%
• Forward Model 50%
• Surrogate Model 50%
• Spatial Data 50%
• Structural Response 50%

Material Science

• Three Dimensional Printing 100%
• Surrogate Modeling 100%