Asphalt Concrete Mix Design Optimization Using Autoencoder Deep Neural Networks

Keyphrases

• Aggregate Gradation 60%
• Asphalt Concrete 100%
• Autoencoder 100%
• Balanced Mix Design 60%
• Binder Content 60%
• Compressed Representation 40%
• Concrete Mix Design 100%
• Cracking Potential 40%
• Data Preprocessing 20%
• Decoder 60%
• Deep Neural Network 100%
• Design Alternatives 20%
• Design Approach 20%
• Encoder 60%
• Error Process 40%
• Flexibility Index 60%
• Hamburg Wheel Tracking Test 60%
• Hidden Layer 40%
• Illinois Flexibility Index Test (I-FIT) 60%
• Increased Productivity 20%
• Latent Space 20%
• Mix Design Optimization 100%
• Neural Network 20%
• Pavement Crack 20%
• Pavement Rutting 20%
• Representation Learning 20%
• Rut Depth 60%
• Rutting Potential 40%
• Trial-and-error 40%
• Volumetric Contents 20%

Engineering

• Asphalt Concrete 20%
• Autoencoder 100%
• Binder Content 60%
• Concrete Mix 100%
• Data Preprocessing 20%
• Deep Neural Network 100%
• Design Alternative 20%
• Design Optimization 100%
• Hidden Layer 40%
• Input Data 20%
• Mixing Design 60%
• Nodes 20%
• Pavement 20%
• Test Result 40%