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Capacity prediction and section optimization of cold-formed steel sigma-section beams via XGBR-SHAP
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DOI：10.1016/j.jcsr.2026.110489.png)
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Abstract
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• A surrogate-assisted framework was developed for CFS Sigma-section capacity prediction and constrained section optimization. • Improved sections achieved higher material efficiency within the investigated Sigma-section design domain. • SHAP analysis identified thickness and torsional-stiffness-related features as dominant capacity-influencing parameters. • Representative full-scale four-point bending tests supported the proposed optimization workflow.
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