A statistical framework for generating microstructures of two-phase random materials: Application to fatigue analysis

Keyphrases

• Microstructure 100%
• Statistical Framework 100%
• Materials Application 100%
• Random Material 100%
• Fatigue Analysis 100%
• Surrogate Model 66%
• Covariance Function 33%
• Statistical Features 33%
• Sampling Methods 33%
• Parametrization 33%
• Covariance 33%
• Uncertainty Quantification 33%
• Complex Geometry 33%
• Statistical Properties 33%
• Idealized Geometry 33%
• Monte Carlo Method 33%
• Large Classes 33%
• Fast Fourier Transform 33%
• Aspect Ratio 33%
• Macroscopic Behavior 33%
• Heterogeneous Materials 33%
• Overall Framework 33%
• Materials Class 33%
• Quantity of Interest 33%
• Efficient Process 33%
• Random Microstructure 33%
• Microstructure Design 33%
• Gaussian Random Field 33%
• Effective Properties 33%
• Sphericity 33%
• Two-phase Medium 33%
• Size Ratio 33%
• Real Materials 33%
• Multiphase Materials 33%
• Key Design Parameters 33%
• Porosity Ratio 33%
• Porosity Size 33%
• Bayesian Inversion 33%
• Surrogate Materials 33%
• Ellipsoidal Inclusion 33%
• Material Model 33%
• Microstructural Model 33%
• Material Image 33%
• Two-phase Material 33%

Engineering

• Fatigue Analysis 100%
• Surrogate Model 66%
• Random Field 33%
• Design Parameter 33%
• Uncertainty Quantification 33%
• Statistical Property 33%
• Statistical Feature 33%
• Macroscopic Behavior 33%
• Material Model 33%
• Effective Property 33%
• Sphericity 33%
• Phase Material 33%
• Gaussians 33%
• Covariance Function 33%
• Fast Fourier Transform 33%
• Parametrization 33%
• Porosity 33%
• Aspect Ratio 33%

Material Science

• Heterogeneous Material 100%
• Materials Class 100%
• Materials Application 100%