Jian Liu

AI-Based Multiobjective Optimization for Balanced Mix Design of Asphalt Concrete with Generative Adversarial Network-Based Data Augmentation: Integrating Pavement Rutting, Cracking, and Cost

This study innovatively transformed the laboratory BMD procedure into an intelligent multiobjective optimization design framework based on the prediction of pavement rutting and cracking by simultaneously minimizing mixture cost and pavement rut depth, alligator cracking, and longitudinal cracking at the design life of pavement built with the paving mix.