Jun-Wei Xing

An Optimized Interpretable Machine Learning Model for Predicting Ultimate Compressive Capacity of RCFST Columns

Rectangular concrete-filled steel tube (RCFST) columns are widely adopted as primary load-bearing components in engineering structures, and making reliable estimation of their axial compressive capacity crucial to structural design and safety assessment. However, existing theoretical and design equations generally rely...