Muhammad Ajmal

Environmentally informed prediction of ultimate bearing capacity using Kernel-SVM and PLAXIS 3D FEM for sustainable geotechnical design

Accurately predicting Ultimate Bearing Capacity (UBC) is crucial for the safe and efficient design of foundations in geotechnical engineering. Yet, traditional methods remain time-consuming, costly, and environmentally disruptive. This study applies Support Vector Machine (SVM) m...