Uncertainties propagation in metamodel-based probabilistic optimization of CNT/polymer composite structure using stochastic multi-scale modeling

Keyphrases

• Agglomeration 100%
• Carbon Nanotubes 100%
• Carbon Nanotube-polymer Composites 100%
• Composite Structures 100%
• Multiscale Modeling 100%
• Probabilistic Optimization 100%
• Metamodel 100%
• Uncertainty Propagation 100%
• Computational Efficiency 50%
• Polymer Matrix 50%
• Illustrative Examples 50%
• Design Requirements 50%
• Micro-nano 50%
• Applied Load 50%
• Stochastic Approach 50%
• Random Variables 50%
• Modeling Uncertainty 50%
• Uncertain Input Parameters 50%
• Polymeric Nanocomposites 50%
• Element-by-element 50%
• Optimum Geometry 50%
• Micro-meso-macro 50%
• Geometry Optimization 50%
• Waviness 50%
• Material Model 50%
• First-order Reliability Method 50%
• Structural Uncertainty 50%
• Material Optimization 50%
• Combined Geometry 50%
• Combined Materials 50%
• Implicit Finite Element Method 50%
• Kriging Metamodel 50%
• Multiscale Material Model 50%
• Carbon Nanotube Waviness 50%
• Continuum Structure 50%
• Material Uncertainty 50%
• Stochastic multi-scale 50%

Engineering

• Carbon Nanotube 100%
• Multiscale Modeling 100%
• Composite Structure 100%
• Material Model 50%
• Multiscale 25%
• Length Scale 25%
• Computational Efficiency 25%
• Applicability 25%
• Objective Function 25%
• Polymer Matrix 25%
• Nanocomposite 25%
• Random Variable ξ 25%
• Design Constraint 25%
• Input Parameter 25%
• Macroscale 25%
• Applied Load 25%
• Structural Materials 25%
• First-Order Reliability Method 25%
• Geometry Optimization 25%
• Stochastic Approach 25%
• Material Optimisation 25%
• Finite Element Analysis 25%
• Discretization 25%