Synopsis of recent research by authors named "Ramez A Al-Mansob"
- Ramez A Al-Mansob's recent research primarily focuses on the development and application of machine learning models for predicting geotechnical properties, such as unconfined compressive strength (UCS) of geopolymer stabilized soils and California bearing ratio (CBR) of treated expansive soils, utilizing advanced computational techniques like gradient boosting and Gaussian process regression.
- His work also investigates the mechanical properties and durability of asphalt mixtures modified with natural rubber and carbon nanofibers, aiming to enhance the performance of asphalt under varying conditions and improve road material solutions.
- Additionally, Al-Mansob has contributed to understanding the shear strength of rockfill materials used in dam construction through various kernel function-based regression models, providing insights critical for the safe and economical design of embankment dams.
