Data-driven constitutive modelling of granular soils considering multiscale particle morphology

Keyphrases

• Granular Soil 100%
• Particle Morphology 100%
• Multiscale Particles 100%
• Data-driven Constitutive Modeling 100%
• Back-propagation Artificial Neural Network (BP-ANN) 60%
• Long Short-term Memory Neural Network 60%
• Performance Prediction 40%
• Biaxial Strain 40%
• Constitutive Modeling 40%
• Discrete Element Method 40%
• Neural Network 20%
• Neural Network Model 20%
• Confining Stress 20%
• Model Prediction 20%
• Efficient Computation 20%
• Error Distribution 20%
• Stress Conditions 20%
• Volumetric Strain 20%
• Constitutive Behavior 20%
• Model Experimental 20%
• CT-based 20%
• Discrete Element Simulation 20%
• Strain Relationship 20%
• Packing State 20%
• Deviatoric Stress 20%
• Gated Recurrent Unit 20%
• Microtomography 20%
• Method Database 20%
• Model Training 20%
• State Stress 20%

Earth and Planetary Sciences

• Granular Soil 100%
• Discrete Element Method 60%
• Long Short-Term Memory Neural Network 60%
• Axial Strain 40%
• Confining 20%
• Volumetric Strain 20%
• Tomography 20%
• Morphology 20%

Chemical Engineering

• Neural Network 100%
• Long Short-Term Memory 37%
• Long Short-Term Memory Network 37%
• Morphology 12%