Machine Learning Outperforms Design Codes in Predicting Concrete Beam Shear Strength
A benchmark of six machine learning models on 1,849 reinforced concrete beams shows LightGBM beating ACI and CSA design codes, ...
A benchmark of six machine learning models on 1,849 reinforced concrete beams shows LightGBM beating ACI and CSA design codes, ...
Researchers combined an optimized gradient-boosting model, SHAP explainability, and symbolic regression to derive an explicit, accurate equation for concrete creep ...
Full-scale compression tests and ABAQUS simulations show that a concrete-filled cavity joint raises the peak load capacity of prefabricated underground ...
A study in Scientific Reports reports that lightweight concrete with fly ash ceramsite maintains a longer steady-state creep period than ...
A new physics-informed machine learning framework embeds hysteretic mechanical laws into neural network training, reproducing full seismic load–deformation and energy ...
A study of 148 built-up cold-formed steel column tests found that machine-learning corrections performed well within the database but transferred ...
A newly published study details how a sperm whale carcass found in the Oslo Fjord in 2003 became a fully ...
An open-source Python suite called ParaStereoSync and KineViz-3D uses consumer cameras, printed markers, and software-based synchronization to track hundreds of ...
Laboratory tests of a novel externally stiffened ring connection show that welded joints between concrete-filled steel tubular columns and reinforced ...
Researchers in Iran trained an optimized gradient boosting model on 419 tested deep beams and used SHAP analysis to make ...
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© 2025 Scienmag - Science Magazine