Predicting California bearing ratio of HARHA‑treated expansive soils using Gaussian process regression

• Main Authors: Ahmad, Mahmood, A. Al‑Zubi, Mohammad, Kubińska‑Jabcoń, Ewa, Majdi, Ali, Al-Mansob, Ramez Al-Ezzi Abduljalil, Sabri, Mohanad Muayad Sabri, Ali, Enas, Abdulrabb Naji, Jamil, Elnaggar, AshrafY, Zamin, Bakht
• Format: Article
• Language: English; English
• Published: Springer Nature 2023
• Subjects: TA401 Materials of engineering and construction; TA705 Engineering geology. Rock mechanics. Soil mechanics
• Online Access: http://irep.iium.edu.my/106977/7/106977_Predicting%20California%20bearing%20ratio%20of%20HARHA%E2%80%91treated%20expansive.pdf; http://irep.iium.edu.my/106977/8/106977_Predicting%20California%20bearing%20ratio%20of%20HARHA%E2%80%91treated%20expansive_Scopus.pdf; http://irep.iium.edu.my/106977/; https://www.nature.com/articles/s41598-023-40903-1; https://doi.org/10.1038/s41598-023-40903-1

The California bearing ratio (CBR) is one of the basic subgrade strength characterization properties in road pavement design for evaluating the bearing capacity of pavement subgrade materials. In this research, a new model based on the Gaussian process regression (GPR) computing technique was traine...