Symbolic regression for strength prediction of eccentrically loaded concrete-filled steel tubular columns.

ABSTRACT: Concrete-filled steel tube (CFST) columns are widely employed in high-rise buildings, long-span bridges, and seismic-resistant structures due to their superior load-bearing capacity, structural efficiency, and resilience under extreme loading conditions. This study uses symbolic regression with structural design code provisions to predict the eccentric strength of concrete filled-steel tubular columns with circular shape (CCFST) and rectangular shape (RCFST). Previous studies have used two distinct approaches for estimating eccentric strength: explainable models based on theoretical derivations and black-box models derived from machine learning (ML) methods. This study proposes a hybrid model derived from the design code standards, with performance enhanced by the symbolic regression techn

SUBMITTER: Megahed K 

PROVIDER: S-EPMC11761456 | biostudies-literature | 2025 Jan

REPOSITORIES: biostudies-literature