A case study of resilient modulus prediction leveraging an explainable metaheuristic-based XGBoost

• Main Authors: He, Biao, Armaghani, Danial Jahed, Tsoukalas, Markos Z., Qi, Chongchong, Bhatawdekar, Ramesh Murlidhar, Asteris, Panagiotis G.
• Format: Article
• Published: Elsevier 2024
• Subjects: TA Engineering (General). Civil engineering (General)
• Online Access: http://eprints.um.edu.my/45575/; https://doi.org/10.1016/j.trgeo.2024.101216
• Institution: Universiti Malaya

The resilient modulus (MR) of pavement subgrade soils is an index describing the structural response of flexible pavement foundations. Commonly, MR under different conditions of confining pressures and deviatoric stresses are tested by cyclic triaxial compressive experiments. However, such experimen...