Reliability-based design shear resistance of headed studs in solid slabs predicted by machine learning models
نویسندگان
چکیده
The economical and reliable design of steel-concrete composite structures relies on accurate predictions the resistance headed studs transferring longitudinal shear forces between two materials. existing mechanics-based or empirical equations do not always produce safe stud resistance. This study presents evaluation nine machine learning (ML) algorithms development optimized ML models for predicting were trained tested using databases push-out test results in both normal weight lightweight concrete. reliability model was evaluated accordance with European US practices. Reduction coefficients required to satisfy Eurocode requirements determined. Resistance factors used practice also obtained. developed interpreted SHapley Additive exPlanations (SHAP) method. Predictions by compared those descriptive equations, which demonstrated a higher accuracy models. A web application that conveniently provides nominal resistances practices created deployed cloud.
منابع مشابه
Evaluation of the Efficiency of Shear Studs for Punching Shear Resistance of Slab-Column Connections
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ژورنال
عنوان ژورنال: Architecture, Structures and Construction
سال: 2022
ISSN: ['2730-9886', '2730-9894']
DOI: https://doi.org/10.1007/s44150-022-00078-1