Reliability calibration of knowledge informed machine learning for global buckling capacity of built up cold formed steel columns
Accurate prediction of the global buckling resistance of built up cold formed steel (CFS) columns is complicated by partial interaction, connection detailing, and the transferability limits of models calibrated on heterogeneous experimental data. This study develops a knowledge informed discrepancy learning framework i...