Estimation of macroscopic failure strength of heterogeneous geomaterials containing inclusion and pore with artificial neural network approach

Keyphrases

• Failure Strength 100%
• Artificial Neural Network Method 100%
• Macroscopic Defect 100%
• Heterogeneous Geomaterials 100%
• Artificial Neural Network 50%
• Porosity 50%
• Direct numerical Simulation 50%
• Volume Fraction 50%
• Microstructure 25%
• Numerical Simulation 25%
• Neural Network Model 25%
• Analytical Solution 25%
• Solid Matrix 25%
• Pressure Sensitivity 25%
• Interaction Effect 25%
• Random Distribution 25%
• Specific Model 25%
• Failure Stress 25%
• Heterogeneous Materials 25%
• Cement-based Materials 25%
• Statistical Indicators 25%
• Rock-like 25%
• Stiff Inclusion 25%
• Fast Fourier Transform Method 25%

Engineering

• Failure Strength 100%
• Artificial Neural Network 100%
• Direct Numerical Simulation 66%
• Porosity 66%
• Input Parameter 33%
• Good Performance 33%
• Solid Matrix 33%
• Failure Stress 33%
• Reference Solution 33%
• Plastic Solid 33%
• Cement-Based Material 33%
• Fast Fourier Transform 33%
• Statistical Distribution 33%
• Fourier Transform 33%
• Fourier Transform Method 33%

Material Science

• Natural Material 100%
• Volume Fraction 100%
• Heterogeneous Material 50%
• Solid 50%