Predicting the Bearing Capacity of Geocell Reinforced Layered Foundation Bed Using Machine Learning Models

Puntos clave

• Predictive models effectively estimate bearing capacity, enhancing performance metrics for geocell systems.
• Results indicate significant improvements in foundation stability and reliability across various conditions.
• Machine learning techniques analyze data from layered systems to optimize geocell reinforcement strategies.
• Findings suggest potential for improved infrastructure design based on these predictive capabilities.