Explainable machine learning models for predicting shear capacity of exterior reinforced concrete beam–column joints

Abstract The performance of reinforced concrete (RC) beam–column joints play a decisive role in how frame structures behave, especially when subjected to seismic forces. Despite this importance, the provisions found in commonly used design codes such as ACI 352R-02 and Eurocode 8 are still largely b...

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Detalles Bibliográficos

Principais autores:	Ahmed Youssef Kamal, Rasha Abd El Ghany
Formato:	Artigo
Idioma:	Inglês
Publicado:	Springer 2026-06-01
Series:	Discover Civil Engineering
Assuntos:	Machine learning Beam–column joints Shear strength prediction Explainable AI- SHAP analysis
Acceso en liña:	https://doi.org/10.1007/s44290-026-00521-y
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